# Vantion > Vantion designs, builds and runs software and AI for businesses where software runs the operation: AI agents, automation, custom platforms and integrations, from first call to production. Vantion is headquartered in Groningen, the Netherlands. KvK 91500982. Contact: hello@vantion.co. The site is also available in Nederlands (https://www.vantion.co/nl) and Bosanski (https://www.vantion.co/bs). ## Expertise From AI agents to the platforms they run on, we build software that goes into production. - [AI agents](https://www.vantion.co/expertise/ai-agents) - [Agentic workflows](https://www.vantion.co/expertise/ai-agents/agentic-workflows) - [Customer operations agents](https://www.vantion.co/expertise/ai-agents/customer-operations-agents) - [Internal copilots](https://www.vantion.co/expertise/ai-agents/internal-copilots) - [Voice agents](https://www.vantion.co/expertise/ai-agents/voice-agents) - [Generative AI](https://www.vantion.co/expertise/generative-ai) - [Custom RAG](https://www.vantion.co/expertise/generative-ai/custom-rag) - [LLM evals](https://www.vantion.co/expertise/generative-ai/llm-evals) - [Semantic search](https://www.vantion.co/expertise/generative-ai/semantic-search) - [Custom MCP servers](https://www.vantion.co/expertise/generative-ai/custom-mcp-servers) - [Automation](https://www.vantion.co/expertise/automation) - [Document processing](https://www.vantion.co/expertise/automation/document-processing) - [Back-office automation](https://www.vantion.co/expertise/automation/back-office-automation) - [Custom software](https://www.vantion.co/expertise/custom-software) - [SaaS products](https://www.vantion.co/expertise/custom-software/saas-products) - [Internal tools](https://www.vantion.co/expertise/custom-software/internal-tools) - [Customer portals](https://www.vantion.co/expertise/custom-software/customer-portals) - [Web and mobile apps](https://www.vantion.co/expertise/custom-software/web-and-mobile-apps) - [Integrations](https://www.vantion.co/expertise/integrations) - [Legacy systems](https://www.vantion.co/expertise/integrations/legacy-systems) - [Data pipelines](https://www.vantion.co/expertise/integrations/data-pipelines) - [API integrations](https://www.vantion.co/expertise/integrations/api-integrations) - [AI strategy](https://www.vantion.co/expertise/ai-strategy) - [AI readiness assessment](https://www.vantion.co/expertise/ai-strategy/ai-readiness-assessment) - [AI roadmap](https://www.vantion.co/expertise/ai-strategy/ai-roadmap) ## Industries We build for businesses where software runs the operation. - [Health and life sciences](https://www.vantion.co/industries/health-life-sciences) - [Healthcare providers](https://www.vantion.co/industries/health-life-sciences/healthcare-providers) - [Pharma and biotech](https://www.vantion.co/industries/health-life-sciences/pharma-biotech) - [Medical devices](https://www.vantion.co/industries/health-life-sciences/medical-devices) - [Financial services](https://www.vantion.co/industries/financial-services) - [Banking and fintech](https://www.vantion.co/industries/financial-services/banking-fintech) - [Insurance](https://www.vantion.co/industries/financial-services/insurance) - [Accounting](https://www.vantion.co/industries/financial-services/accounting) - [Logistics and mobility](https://www.vantion.co/industries/logistics-mobility) - [Freight and shipping](https://www.vantion.co/industries/logistics-mobility/freight-shipping) - [Warehousing](https://www.vantion.co/industries/logistics-mobility/warehousing) - [Mobility](https://www.vantion.co/industries/logistics-mobility/mobility) - [Legal and professional](https://www.vantion.co/industries/legal-professional-services) - [Law firms](https://www.vantion.co/industries/legal-professional-services/law-firms) - [Consultancies](https://www.vantion.co/industries/legal-professional-services/consultancies) - [Recruitment](https://www.vantion.co/industries/legal-professional-services/recruitment) - [Real estate](https://www.vantion.co/industries/real-estate) - [Property management](https://www.vantion.co/industries/real-estate/property-management) - [Construction](https://www.vantion.co/industries/real-estate/construction) - [Facilities](https://www.vantion.co/industries/real-estate/facilities-management) - [Retail and e-commerce](https://www.vantion.co/industries/retail-ecommerce) - [Online retail](https://www.vantion.co/industries/retail-ecommerce/online-retail) - [Wholesale](https://www.vantion.co/industries/retail-ecommerce/wholesale-distribution) - [Consumer brands](https://www.vantion.co/industries/retail-ecommerce/consumer-brands) - [Energy and industry](https://www.vantion.co/industries/energy-industry) - [Energy and utilities](https://www.vantion.co/industries/energy-industry/energy-utilities) - [Manufacturing](https://www.vantion.co/industries/energy-industry/manufacturing) - [Public sector](https://www.vantion.co/industries/public-sector) - [Government](https://www.vantion.co/industries/public-sector/government) - [Education](https://www.vantion.co/industries/public-sector/education) - [Non-profit](https://www.vantion.co/industries/public-sector/non-profit) - [Software and tech](https://www.vantion.co/industries/software-technology) - [SaaS](https://www.vantion.co/industries/software-technology/saas) - [Scale-ups](https://www.vantion.co/industries/software-technology/scale-ups) - [IT services](https://www.vantion.co/industries/software-technology/it-services) - [Sales and marketing](https://www.vantion.co/industries/sales-marketing) - [Sales teams](https://www.vantion.co/industries/sales-marketing/sales-teams) - [Marketing teams](https://www.vantion.co/industries/sales-marketing/marketing-teams) - [Marketing agencies](https://www.vantion.co/industries/sales-marketing/marketing-agencies) ## Work - [Work](https://www.vantion.co/work) - [Open-source document parsing API and MCP server for financial documents](https://www.vantion.co/work/moneyline): Moneyline. One API that ingests, classifies, parses and enriches any financial document, with an MCP server so agents can call it too. - [AI invoice approval agent that cites the policy clause behind every decision](https://www.vantion.co/work/docket): Our own reference build. Supplier invoices checked against a written procurement policy. Clean cases approve themselves; the rest reach a person with the reason attached. - [How agentic engineering cut time to market by 60% for a SaaS scale-up](https://www.vantion.co/work/saas-agentic): SaaS scale-up. Senior engineers working with coding agents took scaffolding, tests and migrations from weeks to days, without growing the team. - [Document parsing for patient referrals, with 80% less manual intake work](https://www.vantion.co/work/clinic-referrals): Regional clinic group. Agents read incoming referrals, summarise each case and route it to the right team, with a clinician signing off. - [Custom RAG chatbot that answers from a law firm's own precedents, 3× faster](https://www.vantion.co/work/law-firm-rag): Mid-size law firm. Associates ask in plain language and get answers grounded in the firm's own precedents, with every citation checked. - [Semantic product search with embeddings, lifting search-to-cart conversion 24%](https://www.vantion.co/work/retail-search): Home and garden retailer. Embeddings across 40,000 products, so “something for a shady balcony” returns plants that grow in the shade. - [How LLM evals let an insurance claims assistant ship weekly at 94% accuracy](https://www.vantion.co/work/claims-evals): Insurance claims team. Four hundred graded cases run on every change, so a better prompt never quietly breaks an answer that used to be right. - [How AI agents saved a freight forwarder €400k a year on shipment exceptions](https://www.vantion.co/work/freight-exceptions): European freight forwarder. Delays are detected, explained and escalated before the customer asks, across every carrier. - [How an AI sales agent gives every rep 6 hours of account research back a week](https://www.vantion.co/work/sales-research): B2B software company. An agent reads the CRM, the prospect's site and recent news, then writes a one-page brief straight into the deal. - [AI lead qualification that cut first response time from a day to 4 minutes](https://www.vantion.co/work/sales-inbound): Recruitment platform. Every form fill is enriched, scored against the ideal customer profile and booked with the right rep. ## Resources Guides, tools and writing from the team that builds it. - [Insights](https://www.vantion.co/insights): Writing on AI, software and delivery - [Guides and playbooks](https://www.vantion.co/guides) - [AI readiness checklist](https://www.vantion.co/guides/ai-readiness-checklist) - [Build vs buy guide](https://www.vantion.co/guides/build-vs-buy) - [Developer resources](https://www.vantion.co/developers): Templates, Starters, Open source - [Newsletter](https://www.vantion.co/newsletter): Occasional notes from the team ## Company One partner from the first call to software running in production. - [About us](https://www.vantion.co/about): The team and what we stand for - [How we work](https://www.vantion.co/how-we-work): From first call to production - [Partner programme](https://www.vantion.co/partners): For agencies, Referrals - [Careers](https://www.vantion.co/careers): Build with us - [Contact](https://www.vantion.co/contact): Send a message or email us ## Industry use cases ### Healthcare providers (Health and life sciences) https://www.vantion.co/industries/health-life-sciences/healthcare-providers We build AI for hospitals and clinics that takes on the paperwork around care: sorting referrals, drafting letters and moving data between the EPD and the systems around it. Clinicians and planners review every output, and patient data stays in the EU under your own controls. - Referral intake and triage: Incoming referrals are read, the key details extracted and a triage suggestion prepared with missing information flagged. A planner or triage nurse confirms each one before it lands in the EPD. Built as Document processing. - Draft letters and discharge summaries: Drafts of GP letters and discharge summaries are assembled from the notes, results and medication list already in the record. The treating clinician edits and signs every letter before it is sent. Built as Custom RAG. - Protocol and guideline search: Staff ask a question and get the relevant passage from local protocols, department agreements and national guidelines, with the source linked. The answer supports their judgement and always points back to the document. Built as Semantic search. - Patient questions and appointment changes: A patient portal handles rescheduling, preparation instructions and practical questions, pulling from the planning system. Anything medical or unclear is passed to the care team with a summary. Built as Customer portals. - Declaration and billing checks: Care activities are checked against DBC and tariff rules before claims go to insurers through Vecozo, and likely rejections are flagged. The finance team decides what to correct and submit. Built as Back-office automation. - EPD and FHIR integrations: We connect the EPD to planning, lab, home care and patient apps through FHIR and HL7 interfaces. Data is entered once and the audit trail stays complete. Built as API integrations. ### Pharma and biotech (Health and life sciences) https://www.vantion.co/industries/health-life-sciences/pharma-biotech We build AI in pharma and biotech for the teams that keep a product compliant: quality assurance, regulatory affairs, pharmacovigilance and the lab. Each build comes with the test evidence and change control your validation lead will ask for. - Controlled document assistant: Staff ask questions about procedures and get answers drawn only from effective SOPs and work instructions, each with the document number and version. Superseded and draft documents are excluded from retrieval. Built as Internal copilots. - Deviation and CAPA drafting: An agent gathers batch data, similar past deviations and the relevant procedures and drafts the investigation write-up in your eQMS. The quality owner reviews, edits and approves the record. Built as Agentic workflows. - Literature screening for pharmacovigilance: Journal articles and abstracts are screened for possible adverse events involving your products, with the relevant passages highlighted. A safety scientist assesses each flagged case and decides whether it is reportable. Built as Document processing. - Regulatory intelligence search: Guidelines, agency questions and past submissions become searchable by meaning, so regulatory affairs can find precedent across dossiers and markets. Results link back to the source document and section. Built as Semantic search. - Lab and manufacturing data pipelines: Data from LIMS, instruments and MES flows into a structured store with lineage, ready for trending and reporting. Scientists stop assembling datasets by hand and the audit trail is kept intact. Built as Data pipelines. - Evals as validation evidence: We turn expected behaviour into eval sets tied to your user requirements, and run them on every change. The results become part of the validation package your QA team reviews. Built as LLM evals. ### Medical devices (Health and life sciences) https://www.vantion.co/industries/health-life-sciences/medical-devices We take on medical device software development for manufacturers who need an engineering partner that works inside their quality system. That covers companion apps and device software, the tooling around the design history file, and AI that helps quality and regulatory teams keep up with post-market work. - Companion apps and device software: We build patient and clinician apps, device dashboards and cloud back ends following your software development plan under IEC 62304. Your quality and regulatory leads approve design inputs, reviews and releases. Built as Web and mobile apps. - Traceability and design control tools: An internal tool links requirements, hazards, risk controls and test results across Jira, Polarion or Jama, and flags gaps before a design review. Engineers resolve the gaps and the tool regenerates the trace matrix. Built as Internal tools. - Technical file assistant: Regulatory and quality staff search the technical documentation, clinical evaluation and notified body correspondence, with answers cited to the controlled source. It speeds up audit preparation and responses to questions. Built as Custom RAG. - Complaint intake and triage: Complaints from service, sales and customers are read, classified and matched to similar past events, with possible reportable incidents flagged. A quality engineer makes the vigilance assessment and records the decision. Built as Customer operations agents. - Post-market surveillance data: Device telemetry, service records and complaint data are brought into one pipeline for trending and periodic safety reporting. The PMS team works from data that is refreshed daily. Built as Data pipelines. - Roadmap for AI in your device: For manufacturers planning AI features, we map intended use, likely classification under the MDR and the AI Act, and the data and evidence each option needs. Your regulatory lead uses it to decide what to pursue. Built as AI roadmap. ### Banking and fintech (Financial services) https://www.vantion.co/industries/financial-services/banking-fintech We do fintech software development and applied AI for banks, lenders and payment companies that have to move fast inside strict supervision. Our work ranges from customer onboarding and alert handling to the integrations around your core banking platform, with analysts approving every regulated decision. - KYC and KYB document checks: Identity documents, Chamber of Commerce extracts, UBO registers and bank statements are read, cross-checked and summarised with discrepancies flagged. A compliance officer approves or requests more information. Built as Document processing. - Transaction monitoring alert investigation: An agent collects account history, counterparties and customer profile data for each alert and drafts an investigation note with the evidence attached. The analyst decides whether to close the alert or report it to FIU-Nederland. Built as Agentic workflows. - Compliance policy copilot: Staff ask questions about internal policies, product rules and regulatory guidance and get cited answers from the approved versions. Compliance owns the sources and sees which questions come up most. Built as Internal copilots. - Fintech product engineering: We build lending, payments and wealth products as web and mobile platforms with ledgers, audit logs and role-based access. Your team owns the code and the architecture decisions. Built as SaaS products. - Open banking and payment APIs: We connect account information and payment initiation services under PSD2, plus payment providers and ISO 20022 flows. Consent, error handling and reconciliation are built in from the start. Built as API integrations. - Core banking modernisation: We wrap legacy core and batch systems with APIs and move functions to platforms such as Mambu step by step. Existing processes keep running while each part is replaced. Built as Legacy systems. ### Insurance (Financial services) https://www.vantion.co/industries/financial-services/insurance We apply AI in insurance where handlers and underwriters lose the most time: reading claim files, checking cover and assembling submissions. Every model output is measured against past cases before release, and the handler or underwriter makes the call. - Claims intake and document triage: Incoming claims and attachments are classified, key facts extracted and missing documents requested automatically. The claims handler starts from a complete, structured file and makes the cover decision. Built as Document processing. - Claims handling assistant: An assistant checks the claim against the policy conditions, points to the relevant clauses and drafts the letter to the customer or broker. The handler reviews, adjusts and sends it. Built as Customer operations agents. - Policy wording search: Conditions, clauses and product changes across all versions become searchable, filtered by product and start date of the policy. Answers cite the exact clause so staff can verify them. Built as Custom RAG. - Commercial underwriting submissions: Broker submissions, loss histories and inspection reports are gathered into a summary with risk points and gaps highlighted. The underwriter sets terms and price. Built as Agentic workflows. - Evals for every release: Closed claims and expert-reviewed answers form a test set that each model, prompt or rule change must pass. Quality becomes a number your claims managers can track release by release. Built as LLM evals. - Broker and policyholder portals: Portals where intermediaries and customers submit claims, upload documents and follow progress, connected to your claims system. Fewer status calls reach the claims team. Built as Customer portals. ### Accounting (Financial services) https://www.vantion.co/industries/financial-services/accounting We build AI for accounting firms and in-house finance teams that handle the bookkeeping volume nobody wants to type: invoices, receipts, bank lines and client document requests. Accountants review what the software prepares, and everything lands in the packages you already use. - Invoice and receipt processing: Purchase invoices and receipts are read, matched to suppliers and given a suggested ledger account, VAT code and cost centre. Bookkeepers confirm or correct, and corrections improve the next suggestions. Built as Document processing. - Invoice approval agent: An agent checks invoices against purchase orders, contracts and your approval policy, and routes each one with the clause behind its recommendation. Budget holders approve and the agent books the result. Built as Agentic workflows. - Bank reconciliation and period-end checks: Bank lines are matched to open items, and unusual postings, duplicate payments and VAT inconsistencies are listed before closing. The accountant works through the exceptions list and signs off the period. Built as Back-office automation. - Client document portal: Clients upload documents against a checklist per engagement, get automatic reminders and see what is still missing. Your team stops chasing paperwork by email. Built as Customer portals. - Reporting across client administrations: Data from several accounting packages flows into one model for dashboards, benchmarks and signals such as liquidity dips. Advisers spot which clients need a conversation. Built as Data pipelines. - Tax and procedure search: Internal memos, tax guidance and firm procedures become searchable by question, with sources attached. Junior staff find answers faster and partners review less repeat work. Built as Semantic search. ### Freight and shipping (Logistics and mobility) https://www.vantion.co/industries/logistics-mobility/freight-shipping We build AI for freight forwarders, carriers and shipping lines that takes over the reading, keying and chasing behind every shipment. Bookings, carrier updates and customs data flow into your TMS, and your operators decide on the exceptions. - Booking intake from email and PDF: Transport orders, quotes and shipping instructions are read, validated against customer master data and created as draft bookings in your TMS. Operators confirm the drafts and the system learns from every correction. Built as Document processing. - Shipment exception desk: An agent watches carrier, terminal and track and trace feeds, spots a missed milestone, works out the likely cause and drafts the customer update. Planners approve the message and choose the recovery option. Built as Agentic workflows. - Customs declaration preparation: Invoice lines are classified against HS codes with the reasoning attached, and values and origins are checked against the order before the declaration data is filed in your customs software. A customs specialist signs off every declaration. Built as Back-office automation. - Carrier and EDI connections: EDIFACT (IFTMIN, IFTSTA), carrier APIs, project44 and eCMR platforms are connected to your TMS through one monitored integration layer. Failed messages are queued, retried and flagged to an operator. Built as API integrations. - Customer shipment portal: A portal where shippers book, upload documents, follow milestones and download PODs and invoices, fed directly from your operational systems. Your customer service team answers fewer where-is-my-shipment calls. Built as Customer portals. - Tariff and contract search: Rate sheets, surcharge tables and carrier contracts made searchable in plain language, with every answer linked to the clause it came from. Sales and pricing staff quote from the current terms. Built as Semantic search. ### Warehousing (Logistics and mobility) https://www.vantion.co/industries/logistics-mobility/warehousing We build warehouse automation software for 3PLs, fulfilment centres and distribution centres: the integrations, tools and agents that sit around your WMS. Orders, ASNs and client data arrive clean, and your shift leads plan with numbers they trust. - Client onboarding integrations: Reusable connectors for Shopify, Magento, bol.com, Amazon and common ERPs, mapped to your WMS through one integration layer. New clients go live on configuration work, and your IT team reviews each mapping before it runs. Built as API integrations. - Inbound document matching: Packing lists, delivery notes and supplier ASNs are read and matched against purchase orders, with differences shown to the receiving lead before goods are booked in. Discrepancies go to the client with the evidence attached. Built as Document processing. - Labour and volume planning tool: An internal planning tool that combines WMS history, client forecasts and seasonal patterns into an expected workload per shift and zone. Shift leads adjust the plan and book staff from it. Built as Internal tools. - Client and carrier service inbox: Questions about stock levels, order status and returns are answered from live WMS data, with drafts placed in the shared inbox for account managers to check. Damage claims and billing disputes always go to a person. Built as Customer operations agents. - Operational data pipeline: Pick, pack and dock events from the WMS, scanners and automation equipment land in one warehouse data model for billing, client reporting and KPIs. Finance invoices storage and handling from the same numbers operations sees. Built as Data pipelines. ### Mobility (Logistics and mobility) https://www.vantion.co/industries/logistics-mobility/mobility We do mobility software development for public transport operators, leasing companies, fleet owners and charge point operators. We connect vehicle, charger and timetable data to the tools your dispatchers, service desks and passengers use every day. - Fleet management software: A single fleet view combining telematics, maintenance, damage and charging data per vehicle, with alerts for service due dates and unusual use. Fleet managers decide on replacements and repairs from one screen. Built as Web and mobile apps. - Traffic fines and damage intake: Fines from the CJIB, damage forms and repair quotes are read, matched to the driver and contract at that date, and prepared for re-invoicing or approval. Administrators check each match before anything is charged. Built as Document processing. - Charge point operations back office: An OCPP and OCPI back office that tracks charger health, sessions and roaming settlements, and groups faults into tickets for field engineers. Engineers choose the fix, and the system logs what was done. Built as API integrations. - Disruption answers for passenger service: Service desk staff get drafted answers built from live GTFS and SIRI feeds, planned diversions and fare rules, in Dutch and English. Agents review before sending, and questions about refunds or complaints stay with a person. Built as Customer operations agents. - Driver and planner voice line: A voice agent that answers routine calls from drivers about roster changes, vehicle swaps and depot instructions, reading from the planning system. Anything involving safety, incidents or deviations goes straight to the dispatcher on duty. Built as Voice agents. - Ridership and fleet data pipeline: Check-in, punctuality and vehicle data combined in one data model for concession reporting and planning. Planners test timetable changes against measured demand. Built as Data pipelines. ### Law firms (Legal and professional services) https://www.vantion.co/industries/legal-professional-services/law-firms We design and build AI for law firms, notaries and in-house legal teams: search over your own precedents, review assistants that check clauses against your playbook and automation for intake and matter admin. Lawyers review every output, and client files stay in your document management system. - Precedent and knowledge search: Lawyers ask a question in plain Dutch or English and get answers from the firm's own opinions, contracts and memos, each linked to the source passage. Search follows the matter security of your DMS, so ethical walls hold. Built as Custom RAG. - Contract review against your playbook: The assistant reads an incoming contract, compares each clause with the firm's or client's playbook and marks deviations with suggested fallback wording. The lawyer accepts, edits or rejects every mark before anything goes back to the other side. Built as Document processing. - Due diligence extraction: Change of control, termination and assignment clauses are pulled from hundreds of data room documents into a review table with page references. Associates verify the table and write the report from structured findings. Built as Agentic workflows. - Matter intake and conflict preparation: An intake form or email becomes a draft matter in Clio, BaseNet or Legalsense, with parties extracted and run through the conflict search. The responsible lawyer reviews the hits and approves the matter before it opens. Built as Back-office automation. - Client portal for documents and status: Clients upload documents, sign through DocuSign and see where their matter stands in one secure place. The secretariat gets fewer calls and emails asking for an update. Built as Customer portals. - Testing legal AI before it goes live: We test legal AI tools against questions your own lawyers have answered, checking that citations exist and quotes match the source. The same test set runs on every change to prompts, models or data. Built as LLM evals. ### Consultancies (Legal and professional services) https://www.vantion.co/industries/legal-professional-services/consultancies We build AI for consultancies that sell expertise by the project: management, IT and engineering firms and advisory practices. Proposals start from your best past work, consultants find the right reference in minutes, and the admin between CRM, planning and invoicing needs far less manual work. - Proposal and tender assistant: The assistant reads the request for proposal, finds matching references, CVs and method text from past bids and drafts a first version in your template. The bid manager edits it, and the responsible partner approves every submission. Built as Internal copilots. - Project knowledge search: Consultants search final reports, workshop notes and deliverables across SharePoint, Confluence or Notion, and get answers that name the project and the document. Client-confidential material stays restricted to the people cleared for it. Built as Semantic search. - Account research before a pitch: An agent reads the prospect's annual report, recent news and CRM history and writes a one-page brief into the HubSpot or Salesforce deal. The consultant walks into the meeting knowing the client's situation. Built as Agentic workflows. - Time and budget tracking: Draft time entries are suggested from calendars and the documents people worked on, and budget use is checked daily against the contract. Project leads confirm the entries and get a warning before a budget runs out. Built as Back-office automation. - Client tools from engagement models: Many engagements end in a spreadsheet model that the client keeps asking for. We turn the ones worth keeping into a web tool the client logs into, which the firm can offer as an ongoing service. Built as Web and mobile apps. - CRM, planning and finance integration: A won deal in HubSpot creates the project in Simplicate or AFAS with budget and team, and approved hours flow to invoicing in Exact. Client data is typed in once. Built as API integrations. ### Recruitment (Legal and professional services) https://www.vantion.co/industries/legal-professional-services/recruitment We build AI for recruitment agencies, staffing firms and in-house talent teams, with recruitment automation throughout: CV parsing into your ATS, shortlists that explain themselves and back-office flows from placement to payroll. Recruiters make every selection decision, and the system records why a candidate was put forward. - CV parsing and profile enrichment: Incoming CVs and application emails become complete candidate records with skills, experience and availability, checked against duplicates already in the ATS. Recruiters correct the record in one screen before it is saved. Built as Document processing. - Matching across your own database: Recruiters describe a vacancy in plain language and get candidates from the ATS with a short explanation of each match, including people with different job titles. The recruiter decides who to contact, and no candidate is rejected automatically. Built as Semantic search. - Vacancy intake and job ads: Notes from a client intake call become a structured vacancy and a first job ad in your house style, checked for discriminatory wording. The consultant edits the ad and publishes it. Built as Internal copilots. - Candidate scheduling and follow-up: An assistant handles availability checks, interview scheduling and reminders by email or WhatsApp, and hands the conversation to a recruiter when a candidate asks something substantive. Candidates are told they are talking to an AI assistant. Built as Customer operations agents. - Placement to payroll: A signed placement creates the contract, hours registration and invoicing setup in Mysolution or Easyflex, with rates checked against the client agreement and the applicable CAO scale. Payroll staff approve anything that falls outside the rules. Built as API integrations. - Client lead qualification: Enquiries from companies looking to hire are enriched, scored against your ideal client profile and booked with the right account manager. Qualified leads hear back quickly, and the rest get a useful reply. Built as Back-office automation. ### Property management (Real estate) https://www.vantion.co/industries/real-estate/property-management We do property management software development for residential and commercial landlords, property managers and housing associations. Tenant requests, repair orders and rent administration move through your ERP with less retyping, and your housing consultants handle the conversations that need care. - Repair request intake and routing: An agent asks tenants the right follow-up questions, collects photos and access times, classifies the repair and creates the work order for the contracted supplier. Urgent and safety-related reports go straight to the on-call team. Built as Agentic workflows. - Tenant service drafts: Questions about rent, service charges, payment arrangements and nuisance are answered with drafts built from the tenant's contract and account. Housing consultants review every reply, and arrears and vulnerable-tenant cases are flagged for personal contact. Built as Customer operations agents. - Rent points and label checks: Unit data, energy labels and planned renovations are checked against the points system so rent proposals and annual increases stay within the rules. The rent team reviews the flagged units before letters go out. Built as Back-office automation. - Lease and dossier search: Leases, complex regulations and correspondence made searchable in plain language, with each answer pointing to the paragraph it came from. Staff answer questions without opening every file. Built as Custom RAG. - Tenant and owner portal: A portal where tenants report repairs, track their request, sign documents and see payments, and owners or VvE boards see reports. It reads from and writes to your ERP through its supported interfaces. Built as Customer portals. - Contractor and ERP integration: Work orders, planning and invoices exchanged between your ERP and maintenance contractors using the VERA standard or contractor APIs. Status updates flow back without manual copying. Built as Legacy systems. ### Construction (Real estate) https://www.vantion.co/industries/real-estate/construction We do construction software development for contractors, installers and engineering firms, and apply AI in construction where documents pile up: tenders, specifications, quality dossiers and subcontractor paperwork. Site managers and estimators keep the decisions, with better information in front of them. - Tender and specification analysis: Tender documents are searched and summarised into requirements, deviations, risks and questions for the memo of information, each linked to its page. Estimators and the tender manager decide what to price and what to ask. Built as Custom RAG. - Wkb completion dossier assembly: Photos, checklists and inspection reports are sorted by building element and risk from the quality plan, and missing evidence is flagged while the work is still accessible. The site manager and quality assurer sign off the dossier. Built as Back-office automation. - Offline site inspection app: A mobile app for inspections, snags and progress photos that works without signal in basements and on remote sites and syncs to your project systems. Findings are assigned to subcontractors with a deadline. Built as Web and mobile apps. - Subcontractor invoice and contract matching: Subcontractor invoices are read and checked against the contract, approved quantities and extra work orders, including chain liability requirements such as the G-account share. Project controllers approve or dispute each invoice. Built as Document processing. - BIM model questions for engineers: An MCP server that lets an assistant query IFC models for quantities, element properties and clashes, so engineers can ask questions without opening modelling software. Answers link back to the model element. Built as Custom MCP servers. - Project cost and progress data: ERP costs, planning and site progress combined into one data model per project, refreshed daily. Project managers see margin and schedule risk before the monthly review. Built as Data pipelines. ### Facilities (Real estate) https://www.vantion.co/industries/real-estate/facilities-management We build facility management software for facility service companies, maintenance providers and organisations that run their own buildings. Work orders arrive complete, inspections feed the maintenance plan directly, and technicians find the answer in the manual on the spot. - Work order triage: Incoming reports are enriched with asset, location and urgency from your FMIS, matched to the right trade and contract, and returned to the reporter when information is missing. Coordinators confirm priority for anything affecting safety or continuity. Built as Back-office automation. - NEN 2767 inspection app: A mobile app for condition assessments with defect catalogues, photos and scoring according to NEN 2767, usable offline in plant rooms and on roofs. Inspectors record the score, and the results sync to the asset register. Built as Web and mobile apps. - Maintenance planning tool: An internal tool that turns condition scores, asset ages and budgets into a multi-year maintenance plan with scenarios. Asset managers adjust priorities and export the plan to your FMIS. Built as Internal tools. - Technician knowledge assistant: Technicians ask questions about installations, error codes and procedures and get answers from manuals, as-built drawings and past work orders, with sources. It answers on a phone in the field. Built as Internal copilots. - Subcontractor quote and invoice checks: Quotes and invoices are read and compared with framework rates, contract scope and SLA terms, and deviations are listed for the contract manager. Nothing is paid or disputed without their approval. Built as Document processing. - Building data pipeline: Alarms and meter readings from building management systems, plus occupancy sensor data, collected in one data model for energy reporting and condition-based maintenance. The BMS keeps control of the installations. Built as Data pipelines. ### Online retail (Retail and e-commerce) https://www.vantion.co/industries/retail-ecommerce/online-retail We build AI for online retailers, marketplace sellers and omnichannel chains: product search that understands how people shop, service agents that answer order questions from live data and catalogue work that keeps pace with your range. Merchandisers and service staff stay in control of what customers see. - Semantic product search: Embeddings over your catalogue let search understand intent, synonyms and descriptions, combined with keyword matching for brands, sizes and SKUs. Merchandisers keep their boost and pin rules for campaigns and margin. Built as Semantic search. - Order and returns service agent: The agent reads a ticket, looks up the order in Shopify or Adobe Commerce and the shipment in Picqer or the carrier's system, then drafts a complete reply or starts a return. Refunds above a limit you set wait for a service employee. Built as Customer operations agents. - Product content from supplier data: Supplier spreadsheets and spec sheets become titles, descriptions, attributes and translations in Akeneo or your shop, written to your style guide. A merchandiser reviews each batch and approves it for publication. Built as Document processing. - Marketplace and feed integrations: Stock, prices and orders sync between your shop, the Bol.com Retailer API, Amazon and Channable feeds, with alerts when a listing is rejected. Channel managers see every sync in one log. Built as API integrations. - Shopping assistant with product knowledge: A chat assistant answers product questions from your catalogue, manuals and reviews, and says so when it does not know. It is clearly labelled as AI and passes the conversation to your team on request. Built as Custom RAG. - Custom storefront features: Configurators, subscription flows, bundle builders or a Shopify app for a process your platform does not handle out of the box. We build them on your platform's APIs and hand over the code. Built as Web and mobile apps. ### Wholesale (Retail and e-commerce) https://www.vantion.co/industries/retail-ecommerce/wholesale-distribution We build B2B wholesale software for distributors whose orders still arrive by email, PDF, phone and EDI: order automation into the ERP, customer portals for reordering and product data customers can rely on. Your order desk handles the exceptions while routine orders flow straight through. - Sales order intake: Orders from email, PDF and spreadsheets are read, matched to customer, article numbers and agreed prices, and created as draft sales orders in the ERP. The order desk checks only the orders the system flags, such as unknown items or price deviations. Built as Document processing. - ERP and EDI connections: EDIFACT orders, dispatch advices and invoices flow between your ERP and trading partners, including older ERP versions that only accept file imports. A monitor shows failed messages, and new partners are added through mapping. Built as Legacy systems. - B2B ordering portal: Business customers log in, see their own prices, stock and order history, and reorder from a list or a scanned barcode. Account managers spend their time on advice and larger deals. Built as Customer portals. - Article data matching: Supplier files are matched to your item master using descriptions, specifications and codes, with new articles proposed and units converted. The purchasing team approves every match below a confidence threshold. Built as Semantic search. - Quote request handling: Requests for quotation are read, items matched, prices and stock checked against the customer's agreement, and a draft quote prepared in the ERP. The account manager adjusts margins and sends it. Built as Agentic workflows. - Stock and sales data pipeline: Sales, stock and purchasing data from ERP, portal and warehouse lands in one reporting database, refreshed through the day. Buyers see slow movers and stock-outs before customers call about them. Built as Data pipelines. ### Consumer brands (Retail and e-commerce) https://www.vantion.co/industries/retail-ecommerce/consumer-brands We build AI for consumer brands that sell through their own webshop, marketplaces and retail partners: product content for every channel, sell-out data from retailer portals in one place and service for D2C customers. Brand and regulatory teams approve every claim before it reaches a shelf or a screen. - Channel content generation: Master data from Akeneo or Salsify becomes titles, bullets and descriptions for each retailer and language, within each channel's rules. Brand managers approve content per product before it is syndicated. Built as Agentic workflows. - Claims and label checking: New and existing content is checked against your approved claims library, ingredient data and packaging text, and deviations are flagged with the source. Regulatory staff decide what may be published. Built as Custom RAG. - Retailer sell-out data pipeline: Sales, stock and promotion data from retailer portals, marketplaces and your D2C shop is collected, cleaned and mapped to your own article codes in one warehouse. Account teams prepare business reviews from a single dashboard. Built as Data pipelines. - D2C customer service agent: Questions about orders, subscriptions, ingredients and product use are answered from Shopify order data and your product knowledge, in the brand's tone. Complaints about product safety or health always go to a person. Built as Customer operations agents. - Product knowledge assistant for staff: Sales, service and marketing staff ask about specifications, certifications and launch dates and get answers from the PIM, spec sheets and briefs. Each answer shows its source, so outdated documents are easy to spot. Built as Internal copilots. - Subscription and loyalty apps: Subscription portals, loyalty programmes and product registration apps that give the brand a direct relationship with its customers. They build on the Shopify and Klaviyo data you already own. Built as Web and mobile apps. ### Energy and utilities (Energy and industry) https://www.vantion.co/industries/energy-industry/energy-utilities We do utility software development for grid operators, energy suppliers, water companies and installers of heat pumps and solar panels. We connect SAP IS-U, market data and asset systems to the tools your customer service, planning and asset teams work in, and keep operational technology out of reach of anything we build. - Connection request handling: Applications are checked for completeness, enriched with EAN, address and grid data, and prepared with a draft capacity assessment for the network planner. Planners decide on the offer, and customers get status updates without calling. Built as Agentic workflows. - Supplier customer service drafts: Questions about bills, instalments, meter readings and moving are answered with drafts that use contract, meter and market message data from SAP IS-U. Agents review replies, and payment difficulties go to a specialist team. Built as Customer operations agents. - Outage information line: A voice agent that tells callers whether an outage is known in their postcode, the expected restore time and how to report a new one. Anyone reporting a gas smell or a dangerous situation is put through to the control room immediately. Built as Voice agents. - Installer subsidy and commissioning paperwork: For heat pump and solar installers, quotes, ISDE subsidy documents, commissioning reports and grid registrations are read and checked for missing items before submission. Office staff approve each file. Built as Document processing. - Asset condition data pipeline: Historian measurements, work order history, inspection results and GIS data joined per asset, on a one-way read from OT systems. Asset managers use it to prioritise inspections and replacements. Built as Data pipelines. - SAP IS-U and market message integration: Monitored connections between SAP IS-U and EDSN market processes, CRM and portals, with failed or rejected messages collected in a work queue. Billing specialists resolve the cases the rules cannot. Built as Legacy systems. ### Manufacturing (Energy and industry) https://www.vantion.co/industries/energy-industry/manufacturing We apply AI in manufacturing and do manufacturing software development for discrete and process manufacturers and suppliers in the high-tech supply chain. We connect ERP, MES and machine data, and build the quoting, quality and maintenance tools your engineers and planners decide with. - RFQ intake and quote preparation: RFQ emails, drawings and specifications are read into a structured request, matched to similar past orders and prepared with a suggested routing and material list. The estimator sets the price and approves the quote. Built as Document processing. - Shop floor data pipeline: Machine signals collected over OPC UA and MQTT, combined with orders from MES and ERP into one production data model. Production managers see OEE, scrap and downtime per order and shift. Built as Data pipelines. - Quality and deviation search: Non-conformance reports, 8D analyses, test results and customer complaints searchable by meaning, so a quality engineer finds similar past issues and the fixes that worked. The engineer decides the corrective action. Built as Semantic search. - Maintenance technician copilot: Technicians ask about fault codes, procedures and past repairs and get answers from machine manuals and maintenance history, with sources. Lockout and safety procedures are shown as written, and the technician follows them on site. Built as Internal copilots. - ERP and MES integration: Production orders, material bookings and hour registrations synchronised between ERP systems such as Isah, Exact or SAP and the MES, with errors in a monitored queue. Planners no longer enter the same order twice. Built as Legacy systems. - Dealer and spare parts portal: A portal where customers and dealers find parts from exploded views and serial numbers, check stock and order, fed from PLM and ERP data. Service engineers handle the requests the portal cannot answer. Built as Customer portals. ### Government (Public sector) https://www.vantion.co/industries/public-sector/government We build AI for government organisations that face growing case loads with the same number of people: municipalities, provinces and executive agencies. Our tools prepare files, search archives and connect systems through open standards, while civil servants take every decision that affects a resident. - Woo request processing: Relevant documents are gathered from mailboxes and archives, grouped, and marked with proposed redactions and the ground for each one. The responsible official decides what is disclosed. Built as Document processing. - Case file summaries for case workers: A case worker opens a file and gets a summary of the history, previous decisions and relevant local policy, each linked to its source. The case worker assesses the application and writes the decision. Built as Custom RAG. - Resident questions for the contact centre: Questions arriving by chat, email or web form are answered from checked municipal information, and personal matters are routed to the right team with a summary. Contact centre staff review answers in sensitive categories. Built as Customer operations agents. - Council and policy document search: Council decisions, policy memos and regulations become searchable by meaning across years of archives. Policy advisers find earlier positions and commitments in minutes. Built as Semantic search. - Common Ground and ZGW integrations: We connect case handling, forms and registrations through the ZGW APIs, Haal Centraal and StUF where it is still needed. Each integration reduces dependence on a single package. Built as API integrations. - AI readiness and algorithm assessment: We review which processes suit AI, what the AI Act and your algorithm policy require for each, and which data is fit to use. The result is a prioritised list your management and CISO can act on. Built as AI readiness assessment. ### Education (Public sector) https://www.vantion.co/industries/public-sector/education We build AI in education that supports students and staff around teaching: answering questions from course material and regulations, handling exam board paperwork and joining up student and learning systems. Teachers, study advisers and exam boards keep every assessment and decision in their own hands. - Course assistant for students: Students ask questions about a course and get answers drawn only from the material the lecturer has approved, with links to the slides or readings. Lecturers see which topics cause confusion. Built as Custom RAG. - Student service agent: Questions about enrolment, resits and rules are answered from the education and examination regulations and current schedules. Personal or complex cases go to the student desk with a summary. Built as Customer operations agents. - Exam board request handling: Exemption and extension requests are checked for completeness, matched to the relevant rules and prepared with earlier comparable decisions. The exam board reviews each file and decides. Built as Back-office automation. - Student progress data for study advisers: Credits, attendance and submission data from Osiris and the LMS come together in one view with rule-based signals, such as falling behind on credits. Study advisers decide who to contact and how. Built as Data pipelines. - Accreditation and quality document search: Self-evaluations, panel reports, course evaluations and programme documents become searchable across programmes and years. Quality staff prepare accreditation visits with less digging. Built as Semantic search. - Edtech platforms: For edtech companies we build learning platforms, teacher dashboards and integrations with LMS standards such as LTI. The product meets the privacy and accessibility expectations schools set in procurement. Built as SaaS products. ### Non-profit (Public sector) https://www.vantion.co/industries/public-sector/non-profit We build AI for nonprofits that have more work than staff: charities, foundations and funds that rely on donors, volunteers and grants. The focus is on removing admin from small teams, with trustees, committees and staff making the decisions about money and people. - Donor data integration: Gifts, mandates and campaign data from payment providers, fundraising platforms and email tools flow into one CRM record per supporter. Fundraisers work from a complete picture and finance reconciles faster. Built as Data pipelines. - Grant application review: Applications and attachments are checked for completeness and summarised against your funding criteria, with open questions listed. The grants officer and committee assess each project and decide on funding. Built as Document processing. - Donation administration: Periodic gift agreements, failed direct debits, address changes and tax receipts are processed from incoming requests and bank files. Staff approve exceptions and supporter-facing messages. Built as Back-office automation. - Staff and volunteer knowledge assistant: Staff and volunteers ask questions about procedures, programmes and past reports and get answers with sources, and can draft funder reports from programme data. A staff member checks every report before it goes out. Built as Internal copilots. - Volunteer and beneficiary portals: Portals where volunteers sign up for shifts and beneficiaries apply for support, connected to your CRM. Coordinators spend less time on phone calls and spreadsheets. Built as Customer portals. - AI roadmap for a small organisation: We look at your processes, data and tools and recommend where AI is worth it, where a licensed tool already covers the need and what to leave alone. The board gets a short plan with effort estimates to discuss. Built as AI roadmap. ### SaaS (Software and tech) https://www.vantion.co/industries/software-technology/saas We build AI for SaaS companies that want features their customers will pay for: assistants that answer from customer data, search across records and documents, and workflows that finish tasks inside the product. We build in your codebase with evals, tenant isolation and cost controls, so the feature keeps working as usage grows. - In-product assistant: An assistant answers questions from the customer's own records, documents and your help content, citing where each answer came from and applying the logged-in user's permissions. It hands over to support when it cannot answer. Built as Custom RAG. - Semantic search across customer data: Search that understands meaning across records, documents and comments in each tenant, with hybrid ranking and the filters your users already know. Indexes stay partitioned per tenant. Built as Semantic search. - Agent workflows as a product feature: Multi-step tasks your users do by hand, such as reconciling records or preparing a report, run as an agent inside the product with a review step before changes apply. Every run is traced for support and debugging. Built as Agentic workflows. - MCP server for your product: An MCP server exposes your product's data and actions to Claude, ChatGPT and other AI clients, scoped by your OAuth and API permissions. Customers use your product from the AI tools they already work in. Built as Custom MCP servers. - Evals and monitoring for AI features: Test sets from real usage, automated checks in CI and production tracing show quality, latency and cost per feature and tenant. Model upgrades become a measured decision. Built as LLM evals. - Document understanding in the product: Uploaded invoices, contracts or forms become structured data your product can use, with confidence scores per field. Users correct low-confidence fields in a review screen, and corrections feed the test set. Built as Document processing. ### Scale-ups (Software and tech) https://www.vantion.co/industries/software-technology/scale-ups Our scale-up software development adds delivery capacity alongside your hiring plans: a small team that picks up a product stream, an integration backlog or platform work inside your codebase. Our engineers use coding agents under review, so a small team covers more ground while your core team keeps the main roadmap moving. - New product module or app: We build a defined part of the roadmap, such as a new module, a mobile app or a public API, from design to release within your architecture. Your product manager sets priorities, and your tech lead approves the design. Built as Web and mobile apps. - Enterprise integrations: SSO, SCIM provisioning, Salesforce and HubSpot sync, webhooks and public API endpoints built to your standards and documented for customers. Your core team stays on the product. Built as API integrations. - Platform hardening and migrations: Multi-tenancy changes, framework upgrades, database migrations and missing test suites, done by engineers working with coding agents and merged through your CI. The backlog items that hold up enterprise deals get finished. Built as SaaS products. - Internal tools for operations and support: Admin panels, support consoles and billing tools, so engineers stop running database queries for colleagues. Built on your data with proper roles and audit logs. Built as Internal tools. - Data pipelines and product analytics: Event data from the product, Stripe and your CRM lands in a warehouse with tested models. Revenue, usage and churn figures agree across finance, product and sales. Built as Data pipelines. - AI roadmap for the product: A short assessment of where AI adds value to your product and operations, ranked by impact and effort, with the data and architecture each option needs. Your board gets a plan grounded in your codebase and customers. Built as AI roadmap. ### IT services (Software and tech) https://www.vantion.co/industries/software-technology/it-services We build AI for MSPs, system integrators and IT service providers in two ways: automation for your own service desk and operations, and AI projects delivered white-label for your clients. You keep the client relationship, and we bring the engineering behind it. - Ticket triage and enrichment: Incoming tickets in ConnectWise, Autotask or HaloPSA are classified, linked to the right client, device and contract, and enriched with recent incidents. Engineers pick up tickets that already explain what is going on. Built as Customer operations agents. - Routine request automation: New starters, leavers, licence changes and group memberships in Microsoft 365, Entra ID and Intune are prepared from a request and executed after approval by an engineer or the client's contact. Every step is logged against the ticket. Built as Agentic workflows. - Engineer knowledge assistant: Engineers ask about a client's environment and get answers from runbooks, past tickets and documentation, per client and within their access rights. Fixes from closed tickets are proposed as new knowledge articles for review. Built as Internal copilots. - White-label assistants for your clients: Knowledge assistants over a client's SharePoint, file shares and line-of-business systems, delivered under your brand with your team as the contact. You set the commercial terms, and we build, test and support behind you. Built as Custom RAG. - AI readiness assessments for clients: A structured review of a client's data, Microsoft 365 permissions, processes and risks before they roll out Copilot or custom AI. You deliver the report and a prioritised plan to the client. Built as AI readiness assessment. - Reporting from PSA and RMM data: Contract, ticket and device data from your PSA and RMM combined into client reports and profitability per contract. Account managers go into quarterly reviews with the facts. Built as Data pipelines. ### Sales teams (Sales and marketing) https://www.vantion.co/industries/sales-marketing/sales-teams We build AI agents for sales teams in B2B companies: account research before the first call, lead qualification and routing, call notes that reach the CRM and answers reps can use in a deal. The agents prepare and draft, and your reps decide what a prospect receives. - Account research briefs: Before a first call, an agent reads the CRM history, the company's website, annual report and recent news, and writes a one-page brief into the HubSpot or Salesforce deal. Every point links to its source, so the rep can check it in seconds. Built as Agentic workflows. - Inbound lead qualification and routing: Form fills and meeting requests are enriched with company data, scored against your ideal customer profile and routed to the right rep by territory and segment. Sales ops set the scoring rules, and leads the system is unsure about go to a person. Built as Back-office automation. - Call notes into the CRM: Transcripts from Gong, Microsoft Teams or Google Meet become a call summary, next steps and suggested updates to fields such as stage, stakeholders and close date. The rep confirms the updates and edits the follow-up email the agent drafted before sending it. Built as Document processing. - Pipeline data for forecasting: CRM, billing and product usage data land in one warehouse, and deals with passed close dates, missing next steps or no recent activity are flagged. Sales managers review the list before the forecast call and decide what changes. Built as Data pipelines. - Sales enablement assistant: Reps ask about product details, pricing rules, competitors and customer stories in Slack or Teams, and get answers from your approved enablement material with the source linked. Questions it cannot answer go to the product marketing owner, and their reply becomes new content. Built as Internal copilots. - RFP and security questionnaire drafts: Requests for proposal and security questionnaires get a first draft from your library of approved answers, with a citation for each answer. Sales engineers and security staff review every answer before it goes to the prospect. Built as Custom RAG. ### Marketing teams (Sales and marketing) https://www.vantion.co/industries/sales-marketing/marketing-teams We build AI for marketing teams that produce more than they can review: drafts written against your brand guidelines, reporting that brings every channel into one view and first-party data your tools can use. Editors and marketers approve everything before it is published or sent. - Content drafts written to your guidelines: From an approved brief, an agent gathers input from product documentation, interview notes and past pieces and writes a blog post, landing page or email in your brand voice. The draft lands unpublished in WordPress, Webflow or HubSpot, and an editor approves it. Built as Agentic workflows. - Brand and claims check: Drafts from your team, freelancers or AI are checked against your brand guidelines, tone rules and approved claims library, with each flag linked to the rule it concerns. The editor or legal reviewer decides what to change. Built as Custom RAG. - Campaign reporting across channels: Spend and results from Google Ads, Meta Ads, LinkedIn Ads, GA4 and HubSpot land in BigQuery under one campaign naming scheme, with a Looker Studio report on top. A weekly summary is drafted from the figures, and a marketer edits it before it is shared. Built as Data pipelines. - Search across your site and resources: Visitors find the right article, guide or product page when their wording differs from yours, through embeddings combined with keyword matching. Searches that return nothing are logged, so the content team can see what to write next. Built as Semantic search. - First-party data in your marketing tools: Customer, product usage and consent data from the CRM and your product sync to Klaviyo, Mailchimp, HubSpot and ad audiences, with consent status on every contact. Marketers build a segment once, and people who opted out stay excluded in every tool. Built as API integrations. - Event and partner list imports: Lead lists from events, webinars and partners are cleaned, matched to existing contacts, checked for consent and loaded into the CRM with the right campaign attached. Marketing ops review the records the automation cannot match. Built as Back-office automation. ### Marketing and creative agencies (Sales and marketing) https://www.vantion.co/industries/sales-marketing/marketing-agencies We build AI automation for marketing agencies, creative studios and digital agencies: first drafts from client briefs, client reporting across ad platforms, search across past work and cleaner time and budget data. Strategists, creatives and account managers approve everything that reaches a client. - Brief to first draft: An agent reads the client brief with that client's brand guidelines and past approved work, then drafts copy, content calendars or ad variants in your templates. Strategists and creatives edit the draft, and brand material stays separate per client. Built as Agentic workflows. - Client reporting across platforms: Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads and GA4 data for each client flow into one warehouse and a report template your team designed. Commentary is drafted from the figures, and the account manager edits it before the report goes to the client. Built as Data pipelines. - Search across past work: Teams search campaigns, pitch decks, case studies and strategy documents across Google Drive, SharePoint and Asana by meaning, and see the file and project behind each result. Work under an NDA is visible only to the people on that account. Built as Semantic search. - Pitch and proposal assistant: The assistant reads an RFP or pitch brief, finds matching credentials, team bios and case studies and drafts the proposal in your template. The new business lead shapes the idea and approves every submission. Built as Internal copilots. - Time, budget and resourcing data: Hours from Harvest or Simplicate are matched to retainers and project budgets in Asana or Monday.com, with an alert when an account runs over scope. Missing timesheets get a reminder, and managers decide what to bill or raise with the client. Built as Back-office automation. - AI tools for your clients: Assistants that answer from a client's brand guidelines or product information, and content workflows the client's own team can use. We build them behind your team, and you deliver them under your agency's name. Built as Custom RAG. ## Guides - [AI readiness checklist: what to answer before your first agent goes live](https://www.vantion.co/guides/ai-readiness-checklist): The questions to answer before your first AI agent handles real work, from process and data to approvals, monitoring and ownership. - [Build vs buy software: a decision guide for operations and product teams](https://www.vantion.co/guides/build-vs-buy): A practical guide to choosing between off-the-shelf and custom software, with a cost comparison, a decision matrix and a checklist for your team. - [AI vendor security questionnaire: what to ask before you buy or build](https://www.vantion.co/guides/ai-vendor-security-questionnaire): The questions to ask an AI vendor, or your own team, about data, model providers, access, logging, quality, incidents, GDPR and exit, and how to score the answers. ## Developer resources - [Eval test set template](https://www.vantion.co/developers/eval-test-set-template): A CSV test set and grading rubric for evaluating LLM apps on real cases. - [AI agent spec template](https://www.vantion.co/developers/ai-agent-spec-template): A fill-in spec for AI agents: process, tools, approvals, evals and rollback. - [RAG starter](https://www.vantion.co/developers/rag-starter): Ingestion, hybrid search and verified citations for document Q&A. - [MCP server starter](https://www.vantion.co/developers/mcp-server-starter): Typed, scoped and audited access to your internal systems for AI agents. - [Eval harness](https://www.vantion.co/developers/eval-harness): Test sets, graders and a CI gate that catches regressions before release. - [Moneyline](https://www.vantion.co/developers/moneyline): Open-source API and MCP server for parsing financial documents. ## Open roles - [AI Engineer](https://www.vantion.co/careers/ai-engineer): Groningen, hybrid. Build AI agents, RAG systems, evals and MCP servers that run in production. - [Full-Stack Developer](https://www.vantion.co/careers/full-stack-developer): Groningen, hybrid. Build customer portals, SaaS products and APIs with TypeScript, Next.js and Python. - [DevOps Engineer](https://www.vantion.co/careers/devops-engineer): Groningen, hybrid. Run the cloud, CI/CD, observability and self-hosted models behind our client work. - [GTM Engineer](https://www.vantion.co/careers/gtm-engineer): Groningen, hybrid. Build the outbound, inbound, CRM and AI routing systems behind our growth. ## Insights - [How to build a production RAG chatbot: a practical guide](https://www.vantion.co/insights/production-rag-chatbot-guide): What it takes to turn a promising RAG experiment into a chatbot people trust: ingestion, hybrid search, citations, permissions and evals. - [LLM evals: how to test AI features before every release](https://www.vantion.co/insights/llm-evals-before-every-release): A practical approach to LLM evals: build a test set from real cases, combine code checks with model grading, and block releases that regress. - [Agentic engineering: how to ship SaaS faster with coding agents](https://www.vantion.co/insights/agentic-engineering-saas-development): How senior engineers use coding agents to ship SaaS faster while keeping control of architecture, quality and security. - [RAG vs fine-tuning: which does your business actually need?](https://www.vantion.co/insights/rag-vs-fine-tuning): RAG gives a model your knowledge at answer time; fine-tuning shapes its behaviour. How to choose, when to combine them and what each costs. - [Human-in-the-loop AI agents: design patterns for production](https://www.vantion.co/insights/ai-agents-human-in-the-loop): The patterns we use to run AI agents safely in production: approval checkpoints, confidence thresholds, tool permissions, audit trails and fallbacks. - [Build vs buy software: when custom development pays off](https://www.vantion.co/insights/custom-saas-development-build-vs-buy): A practical way to decide between off-the-shelf software and custom development, covering total cost of ownership, integrations and risk. - [Embeddings and semantic search: a practical guide for product teams](https://www.vantion.co/insights/embeddings-semantic-search-guide): How embeddings power semantic search, how to choose a model and a vector store, and how to measure whether your results actually improved. - [Document parsing with LLMs: extracting data from invoices and forms](https://www.vantion.co/insights/llm-document-parsing-invoices): How to turn invoices and forms into reliable structured data with LLMs, schemas, validation and a review queue for the cases that need a person. - [How to evaluate RAG: retrieval metrics, faithfulness and golden sets](https://www.vantion.co/insights/evaluating-rag-retrieval-quality): How to measure a RAG system properly: separate retrieval from answers, check faithfulness claim by claim and build a golden set you can trust.