375ai, an edge data intelligence startup, has raised an additional $5 million in funding to accelerate its mission of transforming the physical world into real-time, machine-readable insights. The round—led by Delphi Ventures, Strobe Capital, and HackVC—brings the company’s total funding to $10 million, with continued backing from 6MV, ARCA, Primal, and EV3.

The new funding will be used to expand 375ai’s edge data network, deepen its city-level deployments, and enhance its AI-driven intelligence platform that delivers real-world, real-time insights to businesses, governments, and autonomous systems.

“Cities, enterprises, and governments need real-time intelligence to understand the physical world as it unfolds,” said Harry Dewhirst, CEO of 375ai. “This investment validates and accelerates our mission to drive real-world impact and reshape the way society works as we move towards physical AI and an agentic world.”

From Data Chaos to Edge Intelligence

Today’s cities and enterprises rely on fragmented, outdated infrastructure to interpret the physical world. Traditional data pipelines are slow, expensive, and siloed—often leaving decision-makers with incomplete insights. Meanwhile, AI models are starved for real-world context beyond synthetic datasets.

375ai’s answer: an edge data intelligence network that compresses and structures raw sensory data directly at the source. Its proprietary 375edge device—powered by NVIDIA Jetson and DeepStream—uses cameras, audio, and environmental sensors to distill 1TB of raw data into just 35MB of insights daily, a 26,000x reduction in data volume.

This localized compute model not only reduces bandwidth costs but also enhances privacy and speed, giving AI systems the real-time awareness they need to enable smarter mobility, logistics, and safety solutions.

Core Infrastructure for the Physical AI Era

“375ai is positioned to become core infrastructure for AI,” said Tommy Shaughnessy, Founding Partner at Delphi Ventures. “Its ability to compress vast amounts of raw data into actionable intelligence at scale has the power to transform entire sectors—from mobility systems to next-gen AI applications.”

Already, through its partnership with Outfront Media, 375ai’s network monitors 1.5 million vehicles daily, offering unprecedented visibility into urban movement patterns. The company plans to expand beyond Los Angeles into New York and Miami, with international deployments slated for 2026.

A Leadership Team Built for Scale

375ai’s leadership includes industry veterans from Juniper Networks, Palo Alto Networks, Fortinet, Linksys, Singtel, and Telefonica—a lineup designed to bridge the worlds of networking, cybersecurity, and AI infrastructure.

As the company scales, it’s positioning itself not just as a data provider but as an enabler of “physical AI”—a new class of systems that blend environmental intelligence with machine reasoning to improve everything from traffic management to robotic automation.

In a world awash with data, 375ai is betting on intelligence that begins where the data originates—the edge.

375ai, an edge data intelligence startup, has raised an additional $5 million in funding to accelerate its mission of transforming the physical world into real-time, machine-readable insights. The round—led by Delphi Ventures, Strobe Capital, and HackVC—brings the company’s total funding to $10 million, with continued backing from 6MV, ARCA, Primal, and EV3.

The new funding will be used to expand 375ai’s edge data network, deepen its city-level deployments, and enhance its AI-driven intelligence platform that delivers real-world, real-time insights to businesses, governments, and autonomous systems.

“Cities, enterprises, and governments need real-time intelligence to understand the physical world as it unfolds,” said Harry Dewhirst, CEO of 375ai. “This investment validates and accelerates our mission to drive real-world impact and reshape the way society works as we move towards physical AI and an agentic world.”

From Data Chaos to Edge Intelligence

Today’s cities and enterprises rely on fragmented, outdated infrastructure to interpret the physical world. Traditional data pipelines are slow, expensive, and siloed—often leaving decision-makers with incomplete insights. Meanwhile, AI models are starved for real-world context beyond synthetic datasets.

375ai’s answer: an edge data intelligence network that compresses and structures raw sensory data directly at the source. Its proprietary 375edge device—powered by NVIDIA Jetson and DeepStream—uses cameras, audio, and environmental sensors to distill 1TB of raw data into just 35MB of insights daily, a 26,000x reduction in data volume.

This localized compute model not only reduces bandwidth costs but also enhances privacy and speed, giving AI systems the real-time awareness they need to enable smarter mobility, logistics, and safety solutions.

Core Infrastructure for the Physical AI Era

“375ai is positioned to become core infrastructure for AI,” said Tommy Shaughnessy, Founding Partner at Delphi Ventures. “Its ability to compress vast amounts of raw data into actionable intelligence at scale has the power to transform entire sectors—from mobility systems to next-gen AI applications.”

Already, through its partnership with Outfront Media, 375ai’s network monitors 1.5 million vehicles daily, offering unprecedented visibility into urban movement patterns. The company plans to expand beyond Los Angeles into New York and Miami, with international deployments slated for 2026.

A Leadership Team Built for Scale

375ai’s leadership includes industry veterans from Juniper Networks, Palo Alto Networks, Fortinet, Linksys, Singtel, and Telefonica—a lineup designed to bridge the worlds of networking, cybersecurity, and AI infrastructure.

As the company scales, it’s positioning itself not just as a data provider but as an enabler of “physical AI”—a new class of systems that blend environmental intelligence with machine reasoning to improve everything from traffic management to robotic automation.

In a world awash with data, 375ai is betting on intelligence that begins where the data originates—the edge.

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