Altara secures $7M to bridge the data gap that’s slowing down physical sciences
Key takeaways
- 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.
- 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.
- “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.
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.