Ian Naccarella

[Anis @heythereitsanis]

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[Ian Naccarella @IanNaccarella]

Attending YC’s Startup School this weekend was a great reminder that we're building 83 Sciences at the right moment. Young talent is already pushing the boundaries of materials science by conducting research at top research labs. Almost every conversation surfaced the same pain point we saw firsthand: years of valuable experimental data being unfortunately difficult to search, reuse, and learn from, and frontier industries experiencing the physical bottleneck of innovative materials.

To scale, we're hiring a Founding AI Engineer to join us early. If building AI for science sounds interesting, reach out and connect with me at [email protected]

[Kimberly Tan @kimberlywtan]

It was great hosting a fireside chat with @AshwinSreenivas and @chenxcynthia on lessons learned scaling @DecagonAI — what they got right, wrong, and what they’re still figuring out. It’s been almost exactly 3 years since we partnered at the seed, and it was great to hear Ashwin and Cynthia reflect on learnings from the last few years + what’s to come

[Ian Naccarella @IanNaccarella]

Happy to announce 83 Sciences is part of the current YC batch!

I'm working with @ericriesel & @YKScience using AI to mine discarded experimental data and drive scientific breakthroughs. Working with labs, we discover the materials that will power the new Industrial Revolution.

[83 Sciences @83sciences]

The next industrial era will be built on materials discoveries and insights hiding in the 90% of experimental data that never gets published.

Innovate faster, publish more, do more with your data with 83 Sciences

https://t.co/uUnoLgZj3r