PassiveLogic secures funding from NVIDIA

PassiveLogic, a company that has created a platform for generative autonomy, recently announced an investment from NVentures, which is NVIDIA’s investment arm. The company’s financial backers include building-asset owners, equipment manufacturers, and venture investors. To date, PassiveLogic has raised more than $80 million.

The company says its autonomous platform software enables architects, engineers, contractors, and building owners to automate systems significantly more quickly than previous solutions. It explains its mission is “to revolutionize the way we design, install, and operate controlled systems and the built environment.” PassiveLogic says it brings on-premises intelligence to buildings to meet operational requirements and growing ESG goals of asset owners.

PassiveLogic’s products are based on differential computing and use the Quantum digital twin standard that “enables users to quickly compose neural networks, without prerequisite training,” the company explains, adding that its “AI framework unifies system code, training, and inferencing into a single paradigm, solving models orders-of-magnitude faster than industry benchmarks.”

CEO Troy Harvey commented on the funding from NVentures: “To solve complex, compute-intensive problems like autonomous systems we created the first industrial-grade AI platform, that takes us beyond research-centric deep learning, enabling compile-time, type checked heterogeneous models that we can deliver into the hands of regular people.”

“PassiveLogic has a vision to revolutionize the real estate industry through autonomous operations at the edge,” added Mohamed Siddeek, who heads NVentures. “They have a world-class team with deep industry and technical expertise that’s preparing to launch a highly differentiated solution with their initial customers.”

PassiveLogic intends to collaborate with NVIDIA on digital twins, graphics processing units, and compiler technology. “Buildings use 41% of the world’s energy,” Harvey pointed out. To make these buildings more efficient, we built a technology stack that generalizes autonomous control, making it usable for the folks applying these technologies every day.”