Trajectory, co-founded by Ronak Malde, launches with $15M to build a continual learning platform for agentic AI models
It uses real-time user corrections to post-train deployed models.
#64Nathan Lambert@NATOLAMBERTThe 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 was chatting with Ronak a few weeks ago when this was crystalizing for me, so it's fun to see a startup in that area.
Ronak Malde@rronak_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 large-scale agentic models that outperform the frontier. @trajectorylabs We’ve raised $15M from @Conviction, @BessemerVP, @radicalvcfund, @jeffdean, @drfeifei and more. We’re partnering with some of the best AI-native companies: @ClayRunHQ @Harvey, @DecagonAI, @mercor_ai, @RogoAI to power their agentic systems, some of which we are already in production with. We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma. AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.
#321Robert Scoble@SCOBLEIZERNew 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 time.
Which makes it hard to get. Starts out like a brilliant 16 year old, then you gotta take it to university.
I spent some time last week with Ronak learning about his tech and company. Quite excellent, which explains why he got funded.
I'm not compensated by Ronak, just trying to feature great new AI startups.
Ronak Malde@rronak_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 large-scale agentic models that outperform the frontier. @trajectorylabs We’ve raised $15M from @Conviction, @BessemerVP, @radicalvcfund, @jeffdean, @drfeifei and more. We’re partnering with some of the best AI-native companies: @ClayRunHQ @Harvey, @DecagonAI, @mercor_ai, @RogoAI to power their agentic systems, some of which we are already in production with. We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma. AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.
#1032Rohan Paul@ROHANPAUL_AICracking continual learning would make AI far more capable, because models could improve from real usage after deployment.
Trajectory just launched a continual learning platform, backed by a $15M round, to turn every agent trace and user correction into a system that keeps improving after deployment.
A neolab with ex-DeepMind, OpenAI, and Meta Superintelligence researchers that also has paying customers, totally normal.
AI products are still frozen software, because users correct them every day but those corrections rarely update the model, the prompts, or the surrounding agent workflow.
Trajectory’s core unit is the trajectory, which combines what the agent did with what the user accepted, rejected, edited, retried, or fixed later, so companies can train on full failure chains and improve model weights, harness, and prompts together.
The next major AI leap almost certainly will come from models that keep learning after they are shipped.
Ronak Malde@rronak_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 large-scale agentic models that outperform the frontier. @trajectorylabs We’ve raised $15M from @Conviction, @BessemerVP, @radicalvcfund, @jeffdean, @drfeifei and more. We’re partnering with some of the best AI-native companies: @ClayRunHQ @Harvey, @DecagonAI, @mercor_ai, @RogoAI to power their agentic systems, some of which we are already in production with. We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma. AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.