AI for greenhouses: Seattle startup IUNU raises $20M for tech that monitors plants
IUNU, a Seattle startup using AI and machine vision to monitor greenhouse efficiency, raised $20 million in new funding, the company announced Tuesday. The Series B extension was led by S2G Investments, with participation from Farm Credit Canada and Lewis & Clark Partners. The fresh cash will support IUNU’s continued market expansion across North America and Europe and will help the startup grow its commercial and engineering teams. IUNU’s LUNA platform serves as a real-time digital assistant that uses autonomous rail-mounted cameras and canopy level sensors to monitor plants, detect small changes, flag potential problems and recommend specific actions. Pronounced… Read More


IUNU, a Seattle startup using AI and machine vision to monitor greenhouse efficiency, raised $20 million in new funding, the company announced Tuesday.
The Series B extension was led by S2G Investments, with participation from Farm Credit Canada and Lewis & Clark Partners.

The fresh cash will support IUNU’s continued market expansion across North America and Europe and will help the startup grow its commercial and engineering teams.
IUNU’s LUNA platform serves as a real-time digital assistant that uses autonomous rail-mounted cameras and canopy level sensors to monitor plants, detect small changes, flag potential problems and recommend specific actions.
Pronounced “you-knew,” IUNU was founded in 2013 by CEO Adam Greenberg, the son of a botanist and co-founder of a clean water startup called Pure Blue Technologies.
“We are seeing 330% growth in our vine-crop segment, driven by a clear need,” Greenberg said in a news release. “By combining AI-driven systems and deep industry expertise, we’re unlocking unprecedented productivity, sustainability, and profitability for controlled environment agriculture globally.”
The 51-person company is headquartered in Seattle, with offices in Ontario, Canada, and the Netherlands.
IUNU has raised $65 million to date.
Previously: