CVector Energy Corp didn’t arrive with a pitch-deck fantasy. It arrived with math, timing, and a blunt truth: heavy industry doesn’t need another dashboard explaining what already went wrong. Founded in November 2024, the Providence, Rhode Island, based company is building something closer to a nervous system than a screen, an AI-native platform that translates operational decisions into dollars in real time. Not forecasts. Not alerts. Actual economic consequences tied to real actions. Open the valve. Change the setting. Here’s the cost. Here’s the return.
That framing comes straight from Richard Zhang, Co-Founder and CEO, who learned industrial reality inside Shell and later as Head of Digital at Electric Hydrogen. Software only matters if it survives legacy systems, politics, and operators who value uptime over buzzwords. Dr Tyler Ruggles, Co-Founder and CTO, brings the other half from CERN and the Large Hadron Collider, where complex systems don’t tolerate hand-waving. Providence builds the models. New York City meets capital and customers. Frankfurt is where the next vector points.
CVector closed a $5M oversubscribed seed round led by Powerhouse Ventures, with Fusion Fund, Myriad Venture Partners, Hitachi Ventures, and returning investor Schematic Ventures. It followed a $1.5M pre-seed in July 2025. Six months between rounds. No theatrics. Just demand. Emily Kirsch backed it because this is what industrial AI looks like when it grows up. Julian Counihan returned because the signal got louder, not quieter.
Traction is already live. ATEK Metal Technologies uses CVector to manage energy and commodity costs inside aluminum casting operations older than most software companies. Ammobia models clean ammonia production while integrating real-time electricity pricing. Utilities and chemical producers are active. Different industries. Same leak. Decisions no one can price fast enough.
CVector calls itself the brain and nervous system for industrial assets, and “vector” fits. Direction and magnitude. Where to move and how hard. As customers shifted from AI-curious to AI-demanding, the team grew from eight to twelve and opened a Manhattan office in January 2026. The plan is 25+ by year-end, not as a flex, but because demand doesn’t wait.
