CVector Energy, a trailblazer in industrial AI infrastructure, announced it has raised $1.5 million in a pre-seed funding round led by Schematic Ventures. The company is building the essential backbone for AI-native operations in factories and critical infrastructure, transforming how industrial systems sense, reason, and respond in real time.
By integrating ultra-high-fidelity asset data with dynamic external signals such as energy prices, weather, and market conditions CVector’s time-series AI platform delivers a unified system that empowers operators to make instantaneous, informed decisions. Unlike legacy data stacks, which were not designed to adapt to AI or rapidly shifting market conditions, CVector lays the foundation for fully autonomous, AI-driven industrial environments.
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Moreover, the platform is engineered for the world’s most complex operational settings. It enables operators to deploy AI agents, execute hybrid physics-informed models, and run self-healing troubleshooting capabilities. Importantly, CVector learns from operator behavior and adapts to site-specific workflows, delivering actionable intelligence exactly when and where it is needed.
Founded in November 2024 by engineers and researchers from Shell and CERN, CVector is already making an impact across energy, chemicals, and advanced manufacturing. Its solutions generate insights spanning R&D labs to brownfield assets. The company earned ISO 27001 certification in June 2025 and is advancing toward SOC 2 Type II, demonstrating a strong commitment to enterprise-grade security.
“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. This round will help us bring that capability to even more mission-critical environments.”
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CVector applies hardened innovations from sectors like finance, oil & gas, and racing to industrial operations. Its adaptive AI layer captures long-term system patterns and operator habits, enabling smarter troubleshooting, faster root-cause analysis, and proactive system planning.
“We go far beyond data collection,” said Dr. Tyler Ruggles, co-founder and CTO. “With CVector, operators can run complex techno-economic modeling at the edge. It’s not just about insight it’s about automated action and real operational lift.”
Julian Counihan, General Partner at Schematic Ventures, added, “CVector is solving one of the most fundamental gaps in industrial AI: making operational data truly usable. Their platform is purpose-built for factories and field environments. We believe CVector will be foundational infrastructure for the autonomous industrial systems of tomorrow.”
With headquarters in Providence, RI, and offices in New York, NY, and Frankfurt, Germany, CVector is accelerating toward a future where industrial systems operate near-autonomously, guided by adaptive AI, secure real-time intelligence, and self-healing control. The new funding will help the team grow, accelerate product development, and expand deployments in some of the world’s most demanding environments.
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