Your team. Our engineers. Shared ownership of delivery.
We work inside your codebase, tools and release cycle. From customer discovery to deployment, engineers stay close to the problem and own the work across frontend, backend, data and infrastructure.
What we build
Engineers embedded in your team to build AI-native products, integrations and production systems.
Embedded product engineering
Engineers join your planning, standups and repositories to ship the roadmap alongside your team.
AI implementation
Agents, retrieval, evaluations and integrations fitted to your users and operating environment.
Production delivery
Testing, releases, monitoring and documentation owned throughout the engagement.
Flexible capacity
Start with a scoped engagement and adjust skills and capacity as priorities change.
Tools we use
- TypeScript
- React
- Next.js
- Python
- AWS
- Google Cloud
- Microsoft Azure
- OpenAI
- Claude
- LangChain
How it works
From the first conversation to a product in production.
- 01
Scope
A call to understand the goal, then a written scope with what we will build, who will build it and what it costs.
- 02
Ship
Work happens in short cycles in your repositories. You review working software at the end of each one.
- 03
Support
After launch we keep improving it with you, or hand over with documentation your team can run with.
Frequently asked
Something else on your mind? Send us a message and we will get back to you.
Inside your repositories and communication tools, with shared planning, working demos and agreed delivery responsibilities.
From Fuzzy Ideas to Sharp Solutions
Tell us what you are building. We will come back with how we would approach it and who would work on it.