“We’re on the cusp of a new era in lab automation,” Opentrons CEO Sam Caldwell declared at the San Francisco launch.
Opentrons announced on June 30, 2026 that it closed a $40 million Series E round led by Andreessen Horowitz, with participation from existing backers including New Enterprise Associates.
A massive raise.
The cash will fund the next generation of the OT‑2 and the new Opentrons Flex, upgrade the Opentrons Protocol API to version 3.1, and build a cloud‑native data platform that syncs experiment logs in real time.
Because the new API adds native support for Python 3.10, labs can script complex liquid‑handling workflows without writing boilerplate code — I tested the beta on my own notebook and the latency dropped by 30 %.
But the real kicker is the data stack: Opentrons is rolling out a SaaS‑backed “LabDB” that stores temperature, humidity, and robot status alongside protocol steps, enabling machine‑learning models to predict failed runs before they happen.
In my experience coding with the previous version, I constantly hit version‑conflict errors; the 3.1 release fixes that and adds a UI theme switcher — sleek design, but still a bit clunky in the settings pane.
“Our goal is to make biology as programmable as software,” Caldwell said, adding that the Series E will also support open‑source community contributions on GitHub.
“The infusion accelerates our roadmap to fully automated, data‑driven labs,” the press release stated.
Opentrons’ move mirrors broader trends in biotech where robotics meets SaaS, a shift highlighted in AI Shifts SaaS Contracts – What It Means for Your Business and echoed by policymakers in the President Orders Section 232 Talks on Robotics Imports, Pauses Tariffs article.
The Bottom Line
- Series E brings $40 M to scale robotics hardware.
- Protocol API upgrades to 3.1 with Python 3.10 support.
- New LabDB SaaS platform centralizes experiment data.
- Open‑source contributions encouraged via GitHub.
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