Applied AI
Agents, retrieval and evaluation pipelines built against your data and your failure modes, not a leaderboard.
Engineering that sees further.
We design, build and run critical software and applied AI for companies that can't afford to guess.
Built with
- Anthropic
- NVIDIA
- Intel
- JetBrains
- PyTorch
- Hugging Face
- Kubernetes
- Python
- Rust
- TypeScript
- PostgreSQL
- Cloudflare
- Docker
Most AI never leaves the demo. We build the part that has to work on Monday morning: the data, the integrations, the evaluations and the on-call rotation.
Capabilities
Four disciplines, one senior team.
Platform engineering
Backends, APIs and internal platforms designed for the next ten years of load, and of people.
Data infrastructure
Pipelines, warehouses and streaming that your models and your finance team can both trust.
Security and reliability
Threat modeling, hardening and SRE practice from the first commit, not the week before launch.
Built to reach production.
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Diagnose
We map the system, the data and the real constraint before anyone writes code.
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Prototype
A working slice against real inputs, measured with evaluations we agree on up front.
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Harden
Security review, load tests, observability and failure drills before launch day.
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Operate
We run it alongside your team, or hand it over with runbooks and the know-how.
The best incident is the one that never happens.
We design for failure from day one, so your team sleeps through the night.
Quiet by design.
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Small senior teams.
Every engagement is led by engineers who have run systems at scale. No hand-offs to juniors.
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Measured, not promised.
We agree on the metric before we build. If it does not move, we tell you.
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You own everything.
Code, models, prompts and infrastructure live in your accounts from day one.
Tell us what's hard.
One call with a principal engineer. No slides, no sales script.