Studio · Est. 2022
We build the AI features that actually ship.
From greenfield products to integrations inside codebases your team already owns — we design, engineer, and harden the parts of AI that have to work in production. Backed by years of building software the rest of the stack depends on.
What we do
We engineer the work most AI projects underestimate — the retrieval, the evaluations, the cost controls, and the interface that decides whether a model becomes a product people return to or a demo people forget.
— Outcomes that survive contact with real users, not slides.
What we do
Two ways to work with us — nothing more.
- 01
Build
AI-native SaaS, from zero
Greenfield products where the AI seam is the product, not a sticker. We design the data flow, the model boundary, and the interface together — because they are the same problem.
- 02
Integrate
Slot intelligence into existing products
Most useful AI work isn't a new model — it's a careful integration into an existing codebase. We add chat, retrieval, agents, and structured outputs to products that already have customers.
How we think
Most "AI features" are integrations.
The interesting work is rarely about training a new model. It's about deciding what to send, what to retrieve, what to cache, what to show, and what to do when the model is wrong. That work belongs to product engineering, not to the model.
We build the seam carefully. We measure it. We don't add a chat box because everyone has one. We add what your customers will actually use — and we make it cheap enough to leave on.
Tools we reach for
We're framework-agnostic — these are what we reach for most.
- Languages
- TypeScript, Python, Go, Swift
- Models & infra
- Anthropic, OpenAI, Vercel AI SDK, Modal, pgvector
- Web
- React, Next.js, Astro, Tailwind, shadcn
- Data
- Postgres, Redis, Cloudflare D1, S3, DuckDB
- Cloud
- AWS, Cloudflare, Vercel, Fly.io
— but if your team already runs something else, we use that.
Next step
Tell us what you're building.
A short note is enough. We reply within 24 hours, usually faster.