AI systems thatsurvive contactwith production.
LLM applications, retrieval pipelines, and autonomous agents, built by senior engineers who have shipped them before.
We build on the tools your platform team already runs.
Six practice areas. One team of senior engineers.
We don't staff projects with juniors learning on your budget. The engineer architecting your system is the one writing the code.
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LLM application development
Custom applications on GPT, Claude, Gemini, and open weights. Internal tools through customer-facing products.
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RAG and knowledge retrieval
Retrieval pipelines with vector stores, re-ranking, and the evaluation harness that proves they work.
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Agents and automation
Multi-agent systems that execute real workflows, not chatbots that answer questions.
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Fine-tuning and training
Domain adaptation, LoRA and QLoRA, and custom training where off-the-shelf falls short.
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Strategy and consulting
For leadership deciding where to invest, what to build against buy, and how to sequence it.
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MLOps and production deployment
CI/CD for models, monitoring, evaluation, cost control, and compliance. The work that separates a demo from a product.
Built for companies where AI has to actually work.
Senior-only teams
Every engineer on your project has shipped AI systems to production at scale. No juniors learning on your budget. No offshore handoffs. The person architecting your system is the person writing the code.
Production-grade from day one
We don’t build prototypes that die in proof-of-concept purgatory. Every engagement ships to real users, with monitoring, evaluation, and cost controls in place from the first sprint.
Security and compliance first
SOC 2 mindset. HIPAA-aware. EU AI Act ready. Audit trails, PII handling, and governance documentation ship as deliverables, not as afterthoughts.
Recent work
Production deployments that moved the number the business was actually watching.
A predictable process for an unpredictable technology.
- 011-2 weeks
Discovery
Workshops, data audit, and technical feasibility assessment to define the roadmap.
- 021-2 weeks
Architecture
System design, model selection, and the evaluation framework we will hold the build to.
- 034-12 weeks
Build
Sprints with weekly demos. Production infrastructure from the first commit.
- 041-2 weeks
Launch
Staged rollout, load testing, A/B testing, and handoff documentation.
- 05Ongoing
Operate
MLOps, continuous evaluation, prompt optimisation, and model upgrades.
Deep expertise where AI has the highest leverage.
“Replace this with two sentences from a real client about the outcome and what it was like to work with the team.”
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Frequently asked questions
Ready to move from AI experiments to AI in production?
Thirty minutes with a senior engineer. We assess the use case, name the risks, and tell you honestly whether we are the right fit.