Real-time industrial data platform connecting equipment controls to energy markets
CVector bridges live operational data from industrial sites with external market signals—renewable availability, grid pricing, carbon intensity—to power AI-driven optimization and autonomous control systems. The tech stack (Python, TypeScript, React, Kafka, Timescale, PostgreSQL) reflects a real-time data pipeline architecture, with active development on industrial gateways and data visualization tools. Early-stage focus on backend data flow and autonomous energy systems aligns with the founding year and minimal hiring velocity.
CVector builds an industrial data analytics and optimization platform for climate technology and renewable energy projects. The product integrates real-time controls data from industrial equipment with dynamic external market signals, enabling operators to troubleshoot performance, optimize facility efficiency, and adapt operations to grid conditions and power market dynamics. Founded in 2024 and based in New York, the company operates with a small engineering-focused team. Current development priorities include industrial gateway middleware, web application expansion, and real-time data visualization dashboards.
CVector uses Python, TypeScript, React, Kafka, Timescale, PostgreSQL, Supabase, AWS, and MQTT for data ingestion, streaming, storage, and visualization.
CVector has 5 active engineering roles open, primarily mid-level positions. The company is actively hiring in the United States and Germany.
Current projects include real-time data visualization and dashboard tools, industrial gateway development, and web application expansion to support industrial operations optimization.
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