AI
AI Systems Development
We design and build AI features, assistants and agents with evaluation engineered in, from the first prototype to production.
Build pipeline · liveReadiness %
- Prototype100
- Evaluation88
- Integration72
- Production54
AI insight · Retrieval quality improved 14% after re-chunking the product manuals.
Sprint 6 · pilot release
What we cover
From idea to production AI.
One team that builds the system and knows how to test it.
AI assistants
Customer-facing and internal assistants grounded in your own data.
Agents & tool use
AI that calls your APIs and systems safely, with guardrails.
Retrieval (RAG)
Search and knowledge pipelines tuned for accuracy and freshness.
Edge & embedded AI
Models optimized for vehicles, devices and constrained hardware.
Integration
AI connected to your apps, CRM, ticketing and data platforms.
MLOps
Deployment, monitoring and evaluation pipelines for long-term quality.
Built to be measured
Testability is part of the design.
Every system we build ships with its evaluation set, quality dashboards and a retest routine, so you can improve it with confidence.
How it works
Four phases to production.
- 01 · Discover
Use cases, data, constraints and success metrics.
- 02 · Prototype
A working version tested with real users and data.
- 03 · Build
Production-grade integration, security and evaluation.
- 04 · Operate
Monitoring, retesting and continuous improvement.
Related services
Build AI that holds up in production.
Tell us what you want to automate or improve. We will propose an approach and first milestone.