AActive
Generative AI
Taking large models from an impressive demo to something dependable.
- Agentic systems that recover from their own mistakes
- Evaluation, grounding and guardrails
- ████████████████
Operating in stealth · Est. 2023
From model to machine.
We work at the seam where frontier models meet physical machines. Most of what we are building is not public yet. This page is what we can say for now.
01 — Focus
The interesting problems now sit between models and machines. We work on both sides of that line. Some of the detail stays under wraps.
AActive
Taking large models from an impressive demo to something dependable.
BIn the lab
Where foundation models meet sensors, actuators and the messiness of the real world.
CIn the lab
Putting intelligence into machines that have to work outside the lab.
02 — Principles
We are not ready to show the work. We are happy to show how we think.
The demo dazzles in a week. The real work is everything around it: data, evaluation, recovery, integration.
Latency, safety and physics do not care how good the benchmark looked.
One painful problem solved completely beats a general assistant that almost works.
03 — Status
04 — Signal
If you are building where models meet machines and want to compare notes before we are public, send a short note about what you are working on. We reply to the ones where we can be useful.