CVector
CVector provides an integrated platform for industrial AI that ingests high-fidelity asset data and combines it with real-time contextual market data. The platform uses customized facility models to generate benchmarks and enable AI-driven forecasting for operational optimization. This allows industrial operators to reduce inefficiencies, maximize uptime, and improve project economics through real-time analysis.
Funding
Funding not disclosed
Founders
Product
Problem
Legacy data management systems in critical infrastructure often trap data within proprietary platforms, strip essential details through compression, and create a fragmented user experience. This results in delayed insights and hinders informed, real-time decision-making for industrial operations.
Solution
CVector provides a real-time data platform designed for energy and industrial sectors, delivering high-fidelity asset data with micro-second accuracy. The platform integrates this granular data with contextual market information and advanced facility models, enabling AI-driven forecasting and optimization. By connecting directly with assets or software, CVector streams data with 100% lossless compression, replacing outdated spreadsheets and static models with dynamic, actionable insights. This allows industrial companies to reduce inefficiencies, maximize asset uptime, and cut operational costs through informed, in-the-moment decision-making.
Target Audience
The primary customers are operators and decision-makers within the energy and industrial sectors, including those involved in critical infrastructure, project development, and asset management.
Features
- Edge device or direct software integration for autonomous, high-fidelity data collection and streaming.
- Micro-second level accuracy with 100% lossless data compression.
- Real-time integration of asset data with contextual market data (e.g., energy prices, weather forecasts).
- Advanced, customizable facility models for benchmarking and real-time economic analysis.
- AI-driven forecasting capabilities for predictive maintenance and operational optimization.
- Augments existing historian systems (e.g., PI, IBA) for enhanced data accessibility.
- Secure and compliant data handling, prioritizing cybersecurity.
- Web-based dashboard for insight review, modeling, and planning.