Primordis uses AI to continuously analyze operational data and forecast energy demand for industrial and commercial assets, providing real‑time load‑balancing, predictive maintenance, and scheduling recommendations. Its platform integrates with SCADA, OPC‑UA, Modbus and IoT sensors to deliver dashboards and automated control signals that reduce waste, lower utility costs, and extend equipment lifespan while supporting carbon‑reduction goals.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial and commercial operations often face unpredictable energy consumption patterns, leading to higher costs, reduced equipment lifespan, and difficulty meeting sustainability targets. Traditional monitoring tools provide limited real‑time insights and lack predictive capabilities to proactively manage energy usage.
Solution
Primordis applies artificial intelligence to continuously analyze operational data and predict energy demand across equipment and processes. The platform generates actionable recommendations for load balancing, predictive maintenance, and optimal scheduling to extend the endurance of energy‑intensive assets. By integrating with existing SCADA and IoT systems, Primordis delivers real‑time dashboards and automated control signals that reduce waste, lower utility expenses, and support compliance with carbon‑reduction goals. The solution scales across facilities, offering both on‑premise and cloud deployment options to match security and latency requirements.
Target Audience
Primary customers are manufacturers, data center operators, and large‑scale commercial facilities seeking to improve energy efficiency and asset longevity.
Features
- AI-driven forecasting models that predict short‑term and long‑term energy consumption for individual machines and whole plants
- Real‑time optimization engine that adjusts loads and schedules to minimize peak demand and improve equipment utilization
- Predictive maintenance alerts based on anomaly detection in power signatures, helping prevent unexpected downtime
- Seamless integration with common industrial protocols (OPC-UA, Modbus) and IoT sensor stacks for data ingestion
- Interactive dashboards with KPI tracking, energy cost simulation, and sustainability reporting
- Flexible deployment options including edge‑compute modules for low‑latency control and cloud‑based analytics for enterprise oversight