Expertise. What we build, and what we build it with.

Agents, document reasoning and long-context analysis

General reasoning, structured outputs and embeddings

Multimodal input and long documents at scale

EU-hosted models where data has to stay in Europe

Open models for self-hosted and private deployments

Open reasoning models for cost-sensitive workloads

One API across providers, with fallbacks between models

Running open models locally during development

High-throughput serving for self-hosted open models

Open models, rerankers and embedding models

Natural text-to-speech for voice agents

Low-latency speech-to-text for calls and voice agents

Stateful agent workflows with approval steps and retries

Retrieval pipelines, loaders and model integrations

Typed agents with validated tool calls and outputs

Multi-agent setups where roles are clearly separated

Exposing your systems to agents as secure, typed tools

Real-time audio for voice agents on phone and web

Agentic engineering in our own delivery, with review on every change

Coding agent for scoped tasks, tests and migrations

Fine-tuning and evaluating smaller task-specific models

Vector search inside Postgres, next to your permissions

Dedicated vector search for large, filtered collections

Keyword and hybrid search over large document sets

Parsing PDFs, tables and scans into clean structure

Turning websites into clean text for research agents

Tracing, cost tracking and eval datasets for LLM apps

Regression tests for prompts and models in CI

Traces across services, agents and model calls

Error tracking for applications in production

Dashboards for latency, volume and cost

Tracking experiments and fine-tuned model versions

AI services, data work and back ends

Web applications, APIs and SDKs

High-throughput services and integration workers

Fast, memory-safe services for parsing, streaming and performance-critical paths

Reporting, data models and search queries

Native Android features where cross-platform falls short

Native iOS features where cross-platform falls short

Customer portals, dashboards and marketing sites

Interactive interfaces and internal tools

iOS and Android apps from one codebase

Typed Python APIs for AI services

Admin-heavy back ends and data-rich platforms

APIs, webhooks and background workers

Consistent, accessible interfaces built on a design system

Authentication, SSO and organisations for SaaS products

The system of record for most of what we build

Postgres, auth and storage for fast-moving products

Queues, caching and rate limiting

Connecting AI features to the data warehouse

Analytics and reporting on Google Cloud

Event streams between systems that change often

Scheduled data pipelines with retries and lineage

Integrating with document stores already in place

Every service packaged the same way, locally and in production

Self-hosted deployments at larger scale

Production hosting, Bedrock models and S3 storage

Azure OpenAI and hosting inside Microsoft estates

Vertex AI, Cloud Run and data on Google Cloud

Edge delivery, R2 storage and protection

Hosting for Next.js front ends

Fast hosting for services, workers and databases

Infrastructure defined in code and reviewed like code

CI with tests and eval gates on every change

Self-hostable workflow automation your team can adjust

Quick connections between SaaS tools already in use

Visual automations for operations teams

CRM data for sales agents and lead routing

CRM integrations and agents working on account data

Connecting AI workflows to ERP data and processes

ERP integrations for small and mid-sized companies

Outlook, SharePoint and Teams as sources and channels

Billing, subscriptions and payments in SaaS products

Support queues where agents draft and route tickets

Clean, documented APIs between your systems