IUNU and Crop Convergence Partner to Drive Greenhouse Innovation with Enhanced Crop Modeling and Recommendations

Seattle, WA – June 17, 2024 – IUNU, a leader in AI-driven greenhouse automation solutions,
and Crop Convergence, providers of explainable ML/AI decision tools for agriculture, are
excited to announce their collaboration to drive industry-wide innovation in greenhouse
technology. This joint effort represents a significant step in IUNU’s mission to advance industry
standards through partnerships and integrations, bringing new advancements to controlled
environment agriculture (CEA).

By integrating IUNU’s LUNA AI with Crop Convergence’s decision tools, the partnership aims
to deliver comprehensive performance insights that enhance growers’ operations. This integration
leads to greater efficiency, sustainability, and a new level of predictability and operational
excellence.

“We are thrilled to team up with Crop Convergence,” said Adam Greenberg, CEO of IUNU.
“This collaboration represents a pivotal step towards creating a more connected and efficient
industry. By combining our platform with their plant physiology-based insights, we can offer
growers the power of visibility and more control so they can manage their genetics with
unparalleled precision and understanding.”

Crop Convergence’s new solution is designed to bridge various agricultural technologies, enabling growers to streamline their processes and gain a holistic view of their operations. The integration with IUNU’s LUNA platform will enhance data flow between different systems, allowing for more accurate predictions, improved resource management, and better decision-making.

“Our work with Crop Convergence is a key part of driving industry-wide innovation through collaboration,” added Greenberg. “We believe that by working together with key technology providers, we can push the boundaries of what is possible in greenhouse automation and precision agriculture.”

Crop Convergence shares this vision of a connected and efficient industry. “Our product is designed to offer insights into how to maximize the potential of your farm, and partnering with IUNU aligns perfectly with our mission,” said Kendra Armstrong, CEO and Co-Founder of Crop Convergence. “Together, we can provide growers with clearer insights and enhanced control over their greenhouse environments.”

This collaboration exemplifies IUNU’s and Crop Convergence’s commitment to advancing the industry’s future through data-driven insights. “Collaboration is key to success in agriculture, particularly CEA. Our goal is to provide the industry with the best tools to ensure it doubles in the next five years,” said Adam Greenberg, CEO of IUNU. “By partnering with experts in their field like Crop Convergence and others, we aim to work with growers to create a more robust and resilient CEA sector, paving the way for solutions that address the challenges of modern greenhouse management.”

For more information about IUNU and its automation solutions, please visit www.iunu.com.

To learn more about Crop Convergence and its platform, please visit www.cropconvergence.com.

About IUNU
Founded in 2013 and headquartered in Seattle, IUNU aims to close the loop in greenhouse autonomy and is focused on being the world’s leading controlled environment specialist. IUNU’s flagship platform, LUNA, combines software with a variety of high-definition cameras — both fixed and mobile — and environmental sensors to keep track of the minutiae of plant growth and health in indoor ag settings. LUNA’s goal is to turn commercial greenhouses into precise, predictable, demand-based manufacturers that optimize yield, labor, and product quality.

About Crop Convergence
Crop Convergence’s mission is to enable agriculture professionals worldwide to make the best possible decisions for each farm. Their unique product utilizes explainable ML/AI, a hybrid system that builds on physiology and the power of machine learning to provide enhanced, easily understood insights. Alongside data collection partners, Crop Convergence provides insights into the best combinations of genetics, environment and management in familiar software interfaces.