Services
Product engineering, end to end
We are the team you hire when the thing needs to actually exist — designed, built, deployed, and running under real load.
Capabilities
What we do
Four things, done properly. Most engagements use more than one — an AI feature is only worth building if someone can actually reach it.
AI product engineering
Models wired into something people can use: retrieval, agents, generation, and the evaluation loops that keep them honest in production.
- LLM features
- RAG pipelines
- Agent workflows
- Evals
Web and mobile apps
End-to-end product builds on React, Next.js, and Firebase — from the first Figma frame to a deploy pipeline your team can run without us.
- Next.js
- React Native
- Design systems
- CI/CD
Product design
Interface and interaction design that starts from the job the product does, not from a template. Prototypes you can click before we write code.
- UX research
- Prototypes
- UI systems
- Brand
Platform and infrastructure
The unglamorous half: auth, payments, data models, observability, and the cost controls that keep an AI product from eating its own margin.
- Cloud
- Auth
- Payments
- Observability
Engagement
How a project runs
Three phases, no mystery. You always know what is being built and what it costs.
- 01
Scope
A week to pin down what we are building, what it must do on day one, and what can wait. You get a written scope and a fixed estimate.
- 02
Build
Two-week cycles with something running at the end of each one. You see the real product in a real environment, not a status deck.
- 03
Ship
We deploy, instrument, and watch it under real traffic. Handover includes the pipeline, the runbook, and a team that knows how it works.
Next step
Tell us what you want to build.
Send over a rough idea and we will come back with scope, timeline, and a straight answer on whether we are the right team for it.