Service · AI Engineering
Production-ready AI features. Not demos.
40% of agentic AI projects will be cancelled by 2027. Gartner's number, not ours. We build the other 60%: RAG that survives a real corpus, evals that catch regressions, agent loops that stay in budget.
Who it's for
Teams shipping AI into a product, not pitching it.
- AI/ML SaaS companies adding agentic surfaces to existing products.
- Enterprise platform teams retrofitting LLM features into legacy software.
- Healthcare and regulated buyers needing PHI-aware RAG and ambient AI.
- Engineering leaders who've shipped a demo and now need it to survive Monday morning.
What's included
Six capability blocks across the AI stack.
How we work
Spec the eval first. Then build.
AI-readiness brief
30-min call. We diagnose whether the problem is a RAG problem, an eval problem, or an agent-budget problem. Most teams are wrong about which one they have.
Spec the eval, then build
The eval harness is written before the feature, from the spec rather than from the implementation — and never by whoever writes the code. If we can't measure better, we won't ship the change.
Production hardening
Cost ceilings, latency budgets, fallback paths, observability. The boring infrastructure that decides whether the demo survives the launch.
Pricing
AI engagements price as standard pods, plus a premium tier for AMC-shaped builds.
Most AI work runs as monthly senior capacity with the AI-engineering depth dialed up. Healthcare AI runs as a fixed-cost build, because that is the shape a hospital board can approve.
- RAG, evals, agent infra
- Production hardening
- Most common shape
- AI-readiness brief included
- Eval harness shipped
- Pre-RFP option
- Ambient clinical intelligence
- EHR-integrated (eCW, ModMed, Greenway)
- Healthcare vertical landing →
Featured engagement
Enterprise AI/SaaS platform — AI surface delivered with the React pod.
FAQ — ai engineering
The AI questions buyers actually ask.
Do you build agentic features end-to-end?
How do you measure 'good' for an LLM feature?
Can you fine-tune?
Do you build for healthcare AI?
Related services
What else this team takes on.
Ready to talk about ai engineering?
30-minute discovery call, no deck. We'll tell you on the call if we can match — and your topic is already on the form.