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PassiveLogic secures follow-on investment from NVIDIA

Investment marks more than $60M in funding this year, signals ongoing partnership

PassiveLogic, a building controls, autonomous systems and digital twin software provider, today announced an investment from NVentures, NVIDIA’s venture investment arm, according to a press release shared with FinLedger.

The funding follows PassiveLogic’s recent $34 million Series B led by Addition and Keyframe in January, and Brookfield Growth‘s $15 million follow-on investment in April. It has now raised over $80 million to date, with additional investors include RET, Era and A/O Proptech.

That’s also more than $60 million this year alone, showing a quick rush by investors to get involved with the company’s autonomous platform software, which enables owners, architects, engineers and contractors to automate building systems, access on-site property intelligence and meet ESG requirements.

PassiveLogic says it is leading the building controls industry with practical solutions through its Quantum digital twin standard and Hive control platform, which unites sensors, IoT devices and controllable equipment into an edge-computing engine.

Troy Harvey, CEO of PassiveLogic and architect of the Quantum standard, framed the milestone this way, per the release: “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.”

The investment from NVIDIA makes sense, considering PassiveLogic runs its tech platform on the NVIDIA Jetson edge AI and robotics platform, and is a member of NVIDIA Inception, a program which grows startups.

To fuel this ongoing partnership and advance both company’s leadership in the autonomous system tech space, PassiveLogic also stated plans to collaborate with NVIDIA on digital twins, GPUs and compiler technologies.

“Buildings use 41% of the world’s energy. 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,” Harvey said.

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