AI Integration
AI features that hold up in production, not just in a demo — grounded, evaluated, and monitored.
What we do
Not a menu of buzzwords — this is what we actually build, every time we take this on.
LLM product features
Copilots, assistants, and generation features embedded directly in your existing product, not bolted on the side.
RAG & retrieval
Grounding models in your actual data so answers are accurate, cited, and current — not confidently wrong.
Agents & automation
Multi-step AI workflows that can take real actions, with the guardrails to do it safely.
Evals & monitoring
A real evaluation harness, so you know when a prompt change or model swap breaks something — before your users do.
Fine-tuning & prompting
The right technique for the job, chosen on evidence rather than habit.
Cost & latency engineering
Architectures that don't burn your margin or your users' patience waiting on a spinner.
Is this a fit?
We'd rather tell you no on the first call than take your money for the wrong job.
GOOD FIT IF
- You've shipped an AI demo and now need it to survive real users.
- You know roughly what you want AI to do but not how to make it reliable.
- You care about evals and guardrails, not just which model card is trending.
NOT A FIT IF
- You want "AI" bolted on for the press release.
- You're chasing whichever model is trending this week.
- You expect zero hallucinations with zero grounding work.
Already building with AI?
Tell us where it's breaking — accuracy, cost, latency, or trust — and we'll take an honest look.