Hardware for agentic AI isn't just a compute problem.
@sarahookr on why memory, routing, and complexity have rewritten what hardware needs to do, with @MilksandMatcha at @cerebras.
AutoScientist automates the full model optimization loop so you stop depending on someone else's frontier.
Own a frontier AI model within days, not months.
Generic models score well on averages.
They don't cut it for finance.
AutoScientist trains on your data, for your use case, and self-improves until it gets there.
Most AI teams are stuck with the data they have, not the data they need.
Blueprint, a capability of Adaptive Data, lets you specify what good looks like before you build it.
You wouldn’t build without a Blueprint. Don’t train without one.
We're partnering with NCS to accelerate sovereign AI across Asia-Pacific.
Together, we're helping enterprises and governments build AI they own, trained on their data, deployed in their environments, and built to continuously improve.
Billions of people are underserved by AI because it wasn't built in their language.
We are proud that Adaption supports 244 languages from day one.
Build the best intelligence for your world.
Co-founder @sarahookr joins @DavidShrier, @Yonghua_AI, @triciawang, and Mostafa Elkordy at @UN Open Source Week on June 23.
The panel: what governance of autonomous AI actually looks like.
The infrastructure is still being built. This is where it starts.
What's the Limit for AI-First Enterprises?
Our Co-founder @sudip_r0y joins Michael Römer, @stanfordmav, Yuxiang Zhou, and @sh0kunin for @wef AMNC26 this Tuesday, June 23.
The best models don't just win benchmarks. They release their weights.
You don't need 50 researchers. You need the right automation.
AutoScientist handles the loop. You own the intelligence.
Most AI development is still manual.
AutoScientist continuously experiments, adapts, and optimizes datasets and training workflows so every run improves the next.
Not just better models. Better systems for building them.