IUNU secures $20 million to accelerate growth in AI-driven greenhouse technology

The funding aims to support IUNU’s continued expansion into high-value markets across North America and Europe and drive broader adoption of its LUNA platform.

A photo of small red and green tomatoes growing on a green vine. The photo is within a computer program, with yellow squares around each of the tomatoes. The background of the program is gray, with white text that reads Image ROI and Chromaticity Analysis and a Chromaticity Diagram.

Photo courtesy of IUNU

Greenhouse technology provider IUNU (pronounced "you-knew") on April 15 announced the close of its $20 million funding round led by multi-stage investment firm S2G Investments, with participation from Farm Credit Canada and Lewis & Clark Partners.

The funding aims to support IUNU’s continued expansion into high-value markets across North America and Europe and drive broader adoption of its LUNA platform, which delivers plant-level visibility, automated labor analysis and real-time crop steering and forecasting for high-value vine crops such as tomatoes, cucumbers and peppers.

The capital will also support the expansion of IUNU’s commercial and engineering teams, strengthening its technical leadership.

"As population growth, climate volatility and resource constraints place mounting pressure on global food systems, greenhouse production is emerging as a critical component of agriculture’s future," IUNU said in a statement. "By enabling localized production, shortening supply chains and enhancing resilience, it offers a compelling solution — yet growers continue to face significant challenges in labor, productivity and resource management."

Operating in more than 100 facilities across 18 countries, IUNU’s LUNA platform integrates directly with growers’ existing control systems and ERP systems to deliver a real-time digital assistant that streamlines operations, increases visibility and drives outcomes across three critical areas: 

  • Precision yield forecasting: By increasing plant sampling from 0.016% to 10%, LUNA significantly improves forecasting accuracy, enabling sales and operations teams to plan with greater confidence and reduce waste.
  • Automated labor quality management: Using computer vision, LUNA evaluates task performance (e.g., deleafing, lowering, pruning) to boost labor efficiency.
  • Dynamic crop steering: The platform delivers daily, compartment-level insights to help growers optimize crop health, balance and quality throughout the season. 

"We are seeing 330% growth in our vine-crop segment, driven by a clear need. This investment accelerates our mission to transform greenhouse agriculture by empowering growers with actionable insights. By combining AI-driven systems and deep industry expertise, we’re unlocking unprecedented productivity, sustainability and profitability for controlled environment agriculture globally," said Adam Greenberg, CEO of IUNU. "Our platform directly addresses the industry's most pressing operational challenges, offering transformative efficiencies that significantly boost profitability for growers and sales teams."

With established market share in leafy greens and partnerships with major North American ornamental growers, IUNU’s growth is supported by strong customer traction and a scalable business model. The investment reflects continued confidence in the company’s vision and execution.

“We’re thrilled to back IUNU in this next phase of growth, particularly as demand in the vine crop segment accelerates,” said Cristina Rohr, managing director at S2G. “The team has consistently delivered measurable value at a time when greenhouse operators are under pressure from tight margins and growing volatility. Their technology is helping reduce operational risk and bring greater confidence to growers navigating today’s challenges.”

With this new investment, S2G believes IUNU is well-positioned to scale its platform, expand into new markets and continue delivering cutting-edge solutions that help growers thrive in an increasingly complex agricultural landscape.