What we do·Strategy & Transformation·AI
AI Transformation.
AI in production, not in a demo.
Every board wants an AI story; few teams have one that survives contact with users, auditors, or the inference bill. We build AI features eval-first. The harness ships before the model, and the model is whatever passes.
How we approach it
Use-case triage (most candidates don’t need an LLM), eval harness design, retrieval pipelines, agent stacks with audit trails, inference cost modelling, and the org playbook so your team can run it after us.
Use-case triage (most candidates don’t need an LLM), eval harness design, retrieval pipelines, agent stacks with audit trails, inference cost modelling, and the org playbook so your team can run it after us.
- Eval harness in week one. Quality is measured, not vibed
- Regulator-grade audit trails by default
- Inference economics modelled before the prototype
- FDA 510(k) experience: we’ve cleared AI, not just demoed it
Proof
We've shipped this before.
FAQ
Before you ask.
Which model do you build on?
Our industry is regulated. Is that a blocker?
How we approach it
Use-case triage (most candidates don’t need an LLM), eval harness design, retrieval pipelines, agent stacks with audit trails, inference cost modelling, and the org playbook so your team can run it after us.
- Koda gold-set pass rate
- 96.4%
- FDA clearance, Ezra Flash
- 510(k)
- Claim cycle time at Koda
- −41%
Proof
We've shipped this before.
FAQ
Before you ask.
Which model do you build on?
Our industry is regulated. Is that a blocker?
Tell us the hard part.
A 30-minute call with an engineer, not a salesperson. Honest scoping, real dates.
