Add AI to your product. The useful kind.
We help product teams ship AI features customers actually use: assistants that understand your domain, search that finds what people mean, and automation that removes busywork. Each feature is measured, priced and monitored like the rest of your product.
Deliverables, not just hours.
Feature design grounded in customer research
Retrieval and prompts tuned on your data
Evaluation sets and quality dashboards
Cost controls, caching and rate limits
Privacy review and data handling documentation
Tools we often use
- Claude
- OpenAI
- Vercel AI SDK
- pgvector
- Elasticsearch
- Next.js
- Python
Part of
AI & agents
Find the right opportunities, then build AI that does real work.
Common ways teams use this.
In-app assistant
Answer questions and complete tasks using your product's own data and actions.
Semantic search
Let people search the way they talk, across documents, records and messages.
Summaries and drafting
Turn long threads, calls and reports into clear summaries and first drafts.
A clear path from idea to impact.
Pick the right feature
Usage data and customer interviews show where AI saves the most time.
Prototype on real data
A working version inside your product, tested with real customer examples.
Measure quality
Evaluation sets catch regressions before customers do, every time a model or prompt changes.
Launch and tune
Gradual rollout, usage analytics and cost monitoring from day one.
See it in action.
Common questions.
Can't find what you're looking for? We're happy to talk it through.
We choose the smallest model that meets the quality bar, cache aggressively and set per-customer limits. You get a cost dashboard from day one.
Have an idea? Let's make it real.
Tell us what you're building. A senior member of our team will reply within one business day with honest next steps, even if we're not the right fit.