The defining challenge of our generation is directing autonomous intelligence.
As we approach AGI and beyond, agents faster than us - and increasingly smarter than us - will begin running the economy. The defining challenge is learning how to predict, guide, and control what they do. I.e. how they behave when left autonomously. Propensity Labs is building the science of AI behavior.
AI adoption is bottlenecked by trust, not capability.
Capabilities are what a model is able to do. Propensities are what it is inclined to do when no one is forcing its hand. Two models can pass the same capability benchmarks and behave completely differently under pressure. One games the test to make it pass. Another loops on the same command with high verbosity, burning through tokens.
Today we aim to make agent behavior predictable like software
We study how top frontier and open source models behave on realistic tasks under varying pressures. Every model we test sharpens how we test the next.
We use this expertise to collaborate with AI labs on research and enable businesses deploying models to identify and mitigate failures before they happen in production.
Tomorrow we become the behavior layer of the machine economy
We are building the science, the data, and the live infrastructure that make AI behavior predictable, programmable, and steerable at any scale. The end state is the layer the world uses to keep machine intelligence pointed where humans intend.