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Altara secures $7M to bridge the data gap that's slowing down physical sciences | TechCrunch

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Companies working on batteries, semiconductors, and medical devices generate vast amounts of data — and much of it ends up scattered across spreadsheets and legacy systems, making it hard to use to improve products or understand failures.

San Francisco-based startup Altara , which just secured $7 million in seed funding, says it has built an AI layer designed to bridge these data gaps and bring fragmented technical information into a single platform. The round was led by Greylock, with participation from Neo, BoxGroup, Liquid 2 Ventures, and Jeff Dean.

Altara was founded in 2025 by Eva Tuecke (pictured right), who previously conducted particle physics research at Fermilab and worked at SpaceX; and Catherine Yeo (pictured left), a former AI engineer at Warp. The two met while studying computer science at Harvard University.

“Imagine if you’re a company building next-generation batteries, and a battery fails during the cell testing in the R&D process,” Yeo said.…

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