CVector Energy, a startup pioneering AI-native industrial data infrastructure, has successfully closed a $1.5 million pre-seed funding round led by Schematic Ventures. The company, founded in November 2024 by former Shell and CERN engineers, aims to revolutionize how industrial systems collect, process, and act on data.
Building Tomorrow’s Industrial Brain
The startup’s time-series AI platform addresses a critical gap in industrial operations by unifying high-fidelity asset data with external market signals including energy prices, weather conditions, and real-time market data. This comprehensive approach enables operators to make instantaneous, AI-powered decisions that drive the transition toward fully autonomous industrial systems.
CVector’s platform features plug-and-play AI agents, hybrid physics-informed models that combine real-world physics with machine learning, and self-healing troubleshooting capabilities. The system’s adaptive intelligence learns from operator behavior and customizes workflows to site-specific requirements.
“CVector is building the brain and nervous system for industrial assets,” said Richard Zhang, Co-Founder and CEO. “We’re giving operators and engineers a foundation to plug in AI, understand system-wide behavior, and act with speed and precision.”
Enterprise Security Meets Industrial Innovation
Already deployed across energy, chemicals, and advanced manufacturing sectors, CVector recently achieved ISO 27001 certification with SOC 2 Type II in progress. Dr. Tyler Ruggles, Co-Founder and CTO, emphasized the platform’s capability for complex techno-economic modeling at the edge, delivering automated action and operational improvements.
Headquartered in Providence, Rhode Island, with offices in New York and Frankfurt, CVector plans to use the funding to expand globally and accelerate product development for demanding industrial environments.