The AI engineering partnerfor work that has to keep running.
A few words
We put AI into systems that already carry the business: what to build, how it runs day to day, and what stays owned after go-live.
Booking projects — Q4 2026
Selected clients
2020 — 2026
What we do
Eight practices. One AI engineering team.
Every engagement is led by senior AI and systems engineers. Small teams. Clear decision loops. Work that survives leadership turnover and production pressure.
AI-Led Legacy Modernization
Modernize critical systems without unnecessary disruption — using AI as an engineering aid, not a silver bullet.
Includes
- Legacy architecture and dependency assessment
- AI-assisted codebase analysis and documentation
- Characterization and regression testing
Enterprise AI Implementation
Move promising AI initiatives from experimentation into practical, measurable deployment.
Includes
- AI opportunity and feasibility assessment
- Use-case prioritization
- Data and integration readiness
AI-Ready Data and Knowledge Infrastructure
Make enterprise information usable, accessible, and dependable for AI systems.
Includes
- Data readiness and quality assessment
- Data preparation and transformation
- Document ingestion and extraction pipelines
Intelligent Operations Engineering
Reduce manual processing and operational friction through intelligent engineering.
Includes
- Workflow and process analysis
- Document classification and extraction
- Cross-document validation and reconciliation
Selected work
Some of the systems we've engineered.
CUJO
Inline AI security without slowing the network.
Custom hardware, embedded inspection, and hybrid cloud AI protecting every device on the network at line speed.
Ucardia
Full digital health stack on one product foundation.
Strategy through production: member apps, care-team workflows, wearables, and partner integrations on shared architecture.
The approach
How we work →Small, senior, and impatient with theater. Engagements are short. Systems ship. You won't find a seventy-slide AI roadmap waiting for you on Monday morning.
01 — Small teams
Two to four senior AI and systems engineers per engagement. Partners lead the work. No farming out to people you'll never meet.
02 — Short loops
Engagements run long enough to do real work and short enough that nobody loses momentum — measured against production outcomes.
03 — Outputs, not artefacts
We ship systems — models, pipelines, workflows, handover. Decks are a means to an end. Usually a short one.
Get in touch
Let's talk about what's next.
We answer within a working day. Most engagements start once scope and constraints are clear.