Zenerate, Innovative AI Startup, Partners with SoLa Impact to Automate Affordable/Modular Housing Developments

Zenerate an innovative AI startup in the Proptech space, has entered into a strategic partnership with SoLa Impact  the leading private real estate developer of affordable housing in California. Zenerate has developed a powerful platform that employs generative design, artificial intelligence and advanced data analytics to optimize the feasibility analysis process for real estate projects, reducing turnaround time and maximizing development returns.

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In a groundbreaking move to revolutionize the affordable housing sector, SoLa Impact has partnered with Zenerate, to streamline and automate the feasibility analysis process for their affordable and modular housing developments. The collaboration brings cutting-edge AI technology to the modular construction industry and dramatically accelerates the speed of planning, configuration, design, and the permit approval process for a wide range of SoLa’s affording housing projects.

SoLa Impact has been at the forefront of addressing the affordable housing crisis in Los Angeles over the last decade, consistently demonstrating its commitment to creating sustainable, community-focused housing solutions. SoLa currently has over 35 projects with almost 3,000 units at various stages of construction, the majority of which are dedicated to affordable housing. With the increasing demand in the affordable segment, the need for swift and accurate feasibility, configuration, and design analysis has become paramount in the real estate development landscape.

Martin Muoto, the Founder and CEO of SoLa Impact, expressed enthusiasm for the partnership, stating, “We are thrilled to collaborate with Zenerate in our mission to dramatically scale the development and delivery of high-quality affordable housing in California. By leveraging Zenerate’s cutting-edge technology combined with our proprietary standardization processes, we can bring significantly more units to market more cost-effectively and more quickly, with the vast majority of our projects to house people that are currently homeless and living in tents. Equally important, these are units that are an order-of-magnitude more energy efficient than the aging housing stock they are replacing. All units are fully electric, use water-efficient fixtures, and have ENERGY STAR-certified appliances, dramatically reducing GHG emissions while providing cost savings to California’s low-income Black and brown communities.”

The integration of Zenerate’s software into SoLa Impact’s modular operations will facilitate data-driven decision-making, allowing for a more efficient and comprehensive evaluation of potential development sites, construction costs, and market demand. By automating the feasibility and design analysis, SoLa Impact’s team will be able to evaluate more sites, repurpose vacant and sub-optimized locations, and build for maximum density and affordability.

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The Co-Founder and CEO of Zenerate, Benji Shin, echoed Muoto’s sentiments, emphasizing Zenerate’s commitment to providing housing more quickly and affordably by leveraging Artificial Intelligence, particularly expert systems for code compliance and machine learning for rapid massing, configuration, and design. “We are thrilled to partner with SoLa Impact, whose deep commitment to creating sustainable, scalable, and affordable housing aligns perfectly with our mission. By automating key parts of the feasibility, configuration, and eventually, the permitting process, we aim to enable developers to run thousands of financial and design scenarios instantly, ultimately contributing to the advancement of affordable housing initiatives.”

The innovative approach undertaken by SoLa Impact and Zenerate is expected to have a significant impact on the speed and scale of affordable housing development in California, starting in Los Angeles – the largest affordable housing market in the United States with the most acute homeless problem – and then expanding to other local municipalities, and eventually, other states.

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