Okovate Sustainable Energy, a developer of agro-photovoltaic complementary projects, has acquired the assets of Fundusol, a modeling platform born out of Stanford University and Carnegie Mellon University. This acquisition, supported by the Schmidt Family Foundation behind Okovate, brings data-driven precision to the colocated locations of solar energy and agriculture.

Okovate is now directly integrating Fundusol's proprietary modeling engine into its development pipeline - a complex technology stack designed to simulate the intricate interactions between solar array architecture and crop phenotyping. This acquisition enables Okovate to transcend traditional development and become a technology data partner for the agricultural community.

"By acquiring the Fundusol platform, Okovate is fulfilling its mission to enable American farmers to reliably and data-based enjoy the benefits of agricultural-solar complementarity," said Miles Braxton, CEO of Okovate. "We are building predictive AI tools on top of this genetic model engine, transforming complex solar engineering into actionable insights for rural farmers. This ensures that we are not just building energy projects, but also providing the data-based clarity needed to strengthen the economic foundation of our agricultural communities."

The Symbiotic Science Integrated Platform utilizes the SIMulated PLant Ecosystem (SIMPLE) plant biomass model to predict the yields of over 60 different crops. By combining this framework with proprietary irradiance and thermokinetic models, Okovate offers:

Genome optimization: Utilizing a customized internal genetic algorithm to determine the ideal configuration of solar panels - such as panel spacing, height, and inclination - to meet the light saturation requirements of individual crops.
Accurate phenological insight: High-fidelity modeling to predict the response of specific crops in the microclimate created by solar energy infrastructure.

Advanced data visualization: Utilizing 3D system representation and digital twins, farmers and landowners can visualize optimized farm layouts before construction begins.