AI that ships, not just demos.
We engineer production-grade AI agents, RAG systems, and LLM-powered products — built on open-source, deployed with continuous delivery.
Most AI projects stall between prototype and production. The gap isn't intelligence — it's engineering.
AI Engineering: Discover. Build. Deploy. Evolve.
Discover
Before writing a single prompt, we map the problem space, validate that AI is the right tool, and de-risk the approach with your users.
JTBD mapping & AI feasibility analysis
Value vs. complexity prioritisation
Build
From RAG pipelines to autonomous agents — we design and build AI systems grounded in your domain, not just wrapped around a prompt.
LangChain & LangGraph orchestration
Domain-grounded, retrieval-augmented generation
Deploy
Production-grade AI with observability, streaming, and continuous delivery baked in. No demo-ware — real systems that ship.
Streaming SSE, rate limiting & error recovery
LangSmith & LangFuse tracing & evaluation pipelines
Evolve
Agents degrade silently. We wire in feedback loops, semantic evaluation, and drift detection so your AI stays sharp.
Closed-loop evaluation & prompt regression testing
Continuous improvement tied to business outcomes
From agents to evaluation pipelines
Agents
Autonomous AI Agents
- Multi-step reasoning with state machines
- Tool use, memory, and retrieval
- Human-in-the-loop checkpoints
- Graceful fallback and error recovery
Ship agents that reason, not just respond — grounded in your domain data.
RAG Systems
Retrieval-Augmented Generation
- Semantic search with embedding pipelines
- Question classification and query expansion
- Dynamic prompt engineering with context
- Source attribution and citation tracking
Turn your knowledge base into a conversational interface your team and customers trust.
Evaluation
AI Ops & Evaluation
- LangSmith tracing for every chain
- Prompt regression testing in CI/CD
- Semantic similarity scoring
- Cost and latency monitoring
Catch degradation before your users do — evaluation as a first-class engineering practice.
Open-Source First
Built on standards, not lock-in
We choose tools that give you ownership. Every integration is swappable, every model is interchangeable, and your codebase stays yours.
Orchestration
- LangChain
- LangGraph
- Vercel AI SDK
- Claude Agent SDK
Models
- Claude (Anthropic)
- GPT (OpenAI)
- Gemini (Google)
- Open-source (Ollama)
Infrastructure
- pgvector
- Pinecone
- LangSmith
- LangFuse
Practices
- TDD
- Trunk-Based Dev
- Continuous Delivery
- DORA Metrics
Fast & Safe
We build your AI with our own platform behind it
AI code deserves the same engineering rigour as any production system. Our Prevention, Detection, and Correction agents run on every line we write — so your AI ships fast without cutting corners.
Prevention
Quality built in
Spec-driven development, 5 quality gates, and TDD from the first prompt chain. Tests are written before code — AI code included.
Detection
Metrics, not guesswork
DORA metrics, code health scoring, and AI-specific evaluation pipelines track every deployment. Degradation is caught before users notice.
Correction
Fix what matters
Prompt regression testing, characterisation tests, and closed-loop evaluation ensure every correction is verified. Small, tested, always green.
See It In Action
Our CD Coach is built with these technologies
A RAG-powered coaching agent using LangChain, Claude, pgvector semantic search, and streaming SSE — live on this site. Try the chat widget.
Different Roles, Same Goal: AI That Works
CTOs & VPs Engineering
You want AI capabilities in your product but need production-grade engineering, not experiments.
Architecture review & build-or-buy analysis
Team enablement & capability transfer
Product Leaders
You see AI as a differentiator but need a partner who understands product outcomes, not just model APIs.
Discovery sprints for AI use cases
User-centric AI feature development
Engineering Teams
You have developers ready to build AI but need guidance on architecture, evaluation, and production patterns.
Enablement workshops & pair programming
Reference architectures & starter kits
Startups & Scale-ups
You need to move fast with AI but cannot afford to accumulate AI-specific tech debt from day one.
MVP-to-production AI pipelines
Cost-optimised model selection
Ready to build?
Let's turn your AI prototype into a production system.
Whether you need an agent, a RAG pipeline, or an AI-powered product feature — we'll engineer it with the same rigour we bring to continuous delivery.