Key Takeaways
- • Opentrons Labworks Inc., described as the leader in open, AI-native laboratory automation, announced a $40 million Series E financing led by healthcare investor Avego, per a Business Wire release.
- • BroadOak Capital Partners participated as an additional investor in the round.
- • Opentrons plans to use the proceeds to scale its robotics, software, and data infrastructure tools used by scientists worldwide.
- • The company positions its platform as a physical layer for AI-driven science, addressing the gap between AI-based research and hands-on laboratory execution.
Summary
Opentrons Labworks Inc., based in Long Island City, New York, has raised a $40 million Series E financing, according to a Business Wire press release dated October 29, 2026. The round was led by healthcare investor Avego, with additional investment from BroadOak Capital Partners.
The company describes itself as the leader in open, AI-native laboratory automation. According to the announcement, Opentrons will use the new capital to scale its robotics, software, and data infrastructure tools, which the company says scientists around the world increasingly rely on to accelerate discovery.
The release frames the financing around the intersection of artificial intelligence and physical laboratory work. The company argues that while AI is transforming how science is conducted, the physical execution of experiments remains a critical bottleneck that automation must address. The full text of the primary article was not available at the time of summarization, so additional financial terms, valuation, and product detail could not be verified.
The company describes itself as the leader in open, AI-native laboratory automation. According to the announcement, Opentrons will use the new capital to scale its robotics, software, and data infrastructure tools, which the company says scientists around the world increasingly rely on to accelerate discovery.
The release frames the financing around the intersection of artificial intelligence and physical laboratory work. The company argues that while AI is transforming how science is conducted, the physical execution of experiments remains a critical bottleneck that automation must address. The full text of the primary article was not available at the time of summarization, so additional financial terms, valuation, and product detail could not be verified.
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