Introducing Altara
Scientific intelligence for the physical world
Today I am excited to introduce Altara: the scientific intelligence platform for the physical world.
The first wave of AI transformed digital work: writing, coding, GTM. But while the digital world accelerated, the physical world was left behind.
We’re entering a new era of frontier technology: high-performance semiconductors, long-range batteries, novel advanced materials. However, scientific R&D is fundamentally bottlenecked by fragmented data and complex manual workflows. Critical insights are buried in 50-year-old legacy software that scientists call “the place data goes to die.”
Altara captures mission-critical scientific and engineering processes to collapse weeks of work down to minutes. Our agents ingest and reason across the complex, multimodal data of the physical sciences, such as semiconductor wafer maps, high-resolution inspection data like SEM images, large-scale instrument time series data, scattered spreadsheets, unstructured research, and domain-specific legacy systems.
Ultimately, Altara helps companies design better experiments, resolve failures faster, and compress the timeline from discovery to commercialization.
I’m grateful to be building Altara with my longtime friend from Harvard, Eva Tuecke, who previously did particle physics research at Fermilab + worked at SpaceX and Clay.
Building Altara is truly a full circle moment for me: while I spent the last few years at Warp - the agentic terminal for ~1 million developers - and doing AI research at IBM/MIT/Harvard, I grew up in a family of 5 Electrical Engineering PhDs who have all worked in semiconductors. Now we’re bringing that same frontier lens from the digital world to the physical world.
If you’re interested in learning more and helping amplify our launch, please like/repost/comment on the links below! We’d really appreciate your support.
Congrats on the launch
❤️