Services / AI Products
AI Product Engineering
Copilots, document intelligence, and agentic workflows that hold up in front of real customers. We design the evaluation harnesses, guardrails, fallbacks, and cost controls that separate a demo from a dependable product.
Scope
What this covers
- AI copilots and assistants
- Agentic systems and workflow automation
- Document intelligence and extraction
- Retrieval-augmented generation
- Model and API integration
- Voice interfaces
- Human-review workflows
- Evaluation systems and regression suites
- Guardrails and safety controls
- Observability and AI cost controls
In production
What it looks like when it works
Evaluation before launch
Every AI feature ships with an eval suite that catches quality regressions before your users do — not after a support ticket.
Predictable cost and latency
Caching, model routing, and budget alerts designed in from the start, so the unit economics survive contact with production traffic.
Graceful failure paths
Provider outages and low-confidence responses degrade to useful behavior — a human queue, a cached answer, a clear message — never a dead end.
Technology
Tools chosen for the job, not the logo wall
- Models & retrieval
- AI model APIs
- RAG pipelines
- Vector search
- Embeddings
- Application
- Python
- FastAPI
- TypeScript
- Next.js
- Operations
- Evaluation tooling
- Observability
- Cost monitoring
Bring us a ai products problem
One discovery call, then a written proposal with scope, team shape, and timeline. No pressure, no expiring quotes.