“Continual learning is an important research direction for Clay's roadmap, and Trajectory is building the infrastructure to help us explore it. We're testing a model that is getting smarter over time from our users, we've already seen examples of it learning from its mistakes.”

- Kareem Amin, CEO of Clay

“We deploy AI across enterprise customers where the right model behavior shifts meaningfully from one setting to the next, which makes model steerability not just a research interest but a core operational requirement. Our collaboration with Trajectory is focused on understanding how to rigorously measure steerability in post-trained models, and what training techniques actually improve it. Steerability is often claimed but rarely characterized precisely, and we're trying to build the diagnostic and training foundations to change that. That is what it takes to let a system of specialized models keep improving in production.”

- Cyrus Asgari, Research Engineer of Decagon

“Legal expertise lives at the long tail of human knowledge. It is deeply specialized and continually shaped by precedent, judgment, and practice in ways fixed datasets cannot capture. With Trajectory, we are building toward agents that can carry the evolving domain expertise behind this important work.”

- Gabe Pereyra, President & Co-Founder of Harvey