Abstrae was founded on a simple conviction: in the decisions that matter most, an agent shouldn't act unless it can quantify — with calibrated confidence — that it's right. We build the tools that make that possible.
Make expert-guided autonomy trustworthy enough for critical decisions — turning the judgment of skilled people into systems that act, and improve.
Causal, physics-aware models over black-box correlation. Calibrated confidence over hope. Gated action over silent risk.
Based in Austin, Texas, proving the platform first in robotics alongside partners like Watchout Inc. and ARD Canada Inc.
Where clean data is scarce, the knowledge in people's heads is the most valuable signal you have. We make it explicit and operational.
A guarantee is a calibrated probability against an explicit threshold. No threshold, no autonomous action.
Causal structure means you can always trace why an agent believed what it did — and correct it where it's wrong.
Every run is a chance to calibrate further. Agents get sharper with experience rather than drifting out of date.
We'd love to hear about the decision you're trying to make autonomous.