Forty percent of our 2026 pipeline is AI work. We treat models as components: scoped, measured, fallback-handled, replaceable. Not magic; engineering.
Claude, GPT, Llama, Mistral. We pick what fits the latency, privacy and cost profile — not the headline.
Retrieval pipelines tuned per domain, with eval suites you can run on every change.
Multi-step actions with rollback, guardrails and human-in-the-loop where it matters.
Production observability for prompts: token cost, latency p99, regression alerting.
Small models running locally for privacy-sensitive flows where data shouldn't leave the device.
Caching, prompt distillation, fallback hierarchies. We bring AI bills down month-over-month.
Two-week discovery, fixed price, deliverables you keep. Even if you don't continue with us.