Services
Six services, one through-line.
We have been shipping production software since 2013 — healthcare under HIPAA, live payments, government ERP. We apply the same discipline to AI. The common thread is not the model; it is everything around it that decides whether the model reaches a user and stays useful once it does.
AI Product Engineering
AI that survives contact with your users. LLM applications, retrieval-augmented generation, computer vision, and the evaluation harness that tells you when any of it stops working.
02AI Agents & Workflow Automation
Agents that reach into the systems you already run. Agentic systems and workflow automation built on your existing stack, with tool-scoped permissions, human-in-the-loop controls and full run traces.
03Private & Self-Hosted AI
Your models, your infrastructure, your data. Open-weight model deployment, inference serving and tuning, fine-tuning, data residency and the capacity planning that decides whether self-hosting is worth it.
04AI-Native SaaS Product Engineering
From MVP to multi-tenant, with AI in the architecture. Multi-tenant architecture with tenant-isolated retrieval, token metering, usage-based billing, onboarding and admin. From MVP through to scale, with the same team.
05AI-Enabled Web & Real-Time Applications
Complex web systems that hold up in production. WebRTC, VOIP, connected hardware, compliance-bound builds and multi-role platforms — with transcription, summarisation and triage layered on carefully.
06AI Strategy & Readiness
Know what to build before you build it. AI readiness assessment, use case prioritisation, model and vendor selection, architecture review, modernisation roadmaps and technical due diligence.
How we work
Assess, build, operate.
Assess
We start with your workflow, your data and your constraints — not with a model choice. Two to four weeks. You leave with an architecture, a scope, a cost and latency envelope, and an honest answer on whether the thing is worth building at all.
Build
A small senior team works inside your process, not alongside it. Environments, CI/CD, evaluations and security are set up in the first week rather than bolted on before launch.
Operate
We stay on after go-live — scaling, new features, model and dependency updates, incident response. Most of our engagements are measured in years.
Not sure which of these you need?
Describe the problem rather than the solution. Choosing the right shape of engagement is part of what we do before anyone signs anything.