Trajectory, founded by ex-DeepMind, Apple, OpenAI and Meta researchers to build continual learning models, raised a $15M seed at a $115M post-money valuation
Trajectory is betting the rapid iteration cycle that supercharged vibe-coding can help all kinds of companies build AI products that learn continuously.
The most likely way continual learning manifests in the coming few years is through products used directly for knowledge work. Sort of how cursor can continually train their models with real-world data and RL, Claude, Copilot, and co will see if they can for knowledge work. I
New trend: continual learning. I first showed you this with Levangie Labs from @blevlabs. You “grow” an agent by teaching it. It gets better over time. It works because it has a better memory, so can try things, and learn, and remembers what it learned, so it gets better over
Excited to support the @trajectorylabs team as their inference partner. Powering live, continuous post-training for frontier-scale models takes serious infrastructure, and we're thrilled to build the future of continual learning together.
The best research labs are building what comes after static models. Congrats to @trajectorylabs on the launch! Excited to have them training on the AI Native Cloud as they push the frontier on Continual Learning!
Super excited to announce that I've joined @trajectorylabs! We're pushing the frontier of RL research to build the platform for continual learning. Our team is building paradigms to teach, align, and trust models that adapt in real time as users interact with them. We're hiring!
Today, @MichaelElabd, @QuantumArjun, and I are excited to announce Trajectory. We are a research lab and product company building the platform for Continual Learning. Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train [video…