AI for product teams
Customer-facing AI features built right. Internal tools that beat Retool. Prototype-to-production handled.
Three jobs Product teams hand to us
Customer-facing AI feature
In your design system, with the eval harness.
Internal admin / ops tools
Auth, rbac, audit logs — beyond retool.
Prototype-to-production
V0 or bolt prototype → real production build.
Things we build for Product teams
Customer-facing AI feature
Built into your product, in your design system, with the eval harness to know it works. Not a chat box bolted on.
Internal admin / ops tools
Replaces the Retool app your team has outgrown. Auth, RBAC, audit logs included.
Prototype-to-production
Take a v0 or Bolt prototype, deliver a production-grade build on top. Auth, payments, infra, error handling.
AI eval + observability
Confidence that the feature actually works in production. Logging, prompt regression, hallucination guards.
Start with the hours your Product team loses
We find where the team loses time, show what it costs, and build the fix. Three services take you from finding the jobs to your team using the result.
AI consulting
Find where AI pays off: the jobs ranked, what each costs today, and what to do first.
Learn moreAI implementation
Put it to work and keep it running: AI does the volume, a person checks the result.
Learn moreAI training
Make the team use it: role-specific training tied to the workflows we build.
Learn more
Common questions
We have a v0 or lovable prototype — can you ship it to production?
Yes. that's a common shape. we take the prototype as the brief and build the production version on top: streaming, eval suite, audit logging, in-product ux in your design system.
What does the ai eval harness actually cover?
Prompt regression tests, hallucination guards on cited fields, latency budgets, and logging of inputs, prompt, model, output, reviewer per call. enough that when the model version changes you know within an hour whether the feature still works.
How do you avoid shipping another chat box bolted on?
We start from the workflow, not the chat ui. for the fintech assistant we mapped the three highest-volume support tickets first, then built the feature inside the existing in-app surfaces. chat is one mode among several — not the default just because it's the fastest demo.
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Tell us which job takes the most time.
30 minutes. No preparation needed. We will tell you honestly whether AI can help, and where to start.