Prometheus
Prometheus provides an AI-native operations platform that ingests real-time data from industrial sensors, PLCs, and SCADA systems to build dynamic digital models of production processes. The platform applies machine learning to detect anomalies, forecast equipment performance, and recommend optimal control actions, enabling manufacturers and energy producers to shift from reactive maintenance to proactive operations management.
- Manufacturing / Industry 4.0
- Industrial Automation
- Artificial Intelligence
- Internet of Things
- Software Only
- Data & Analytics
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Industrial operations generate vast amounts of sensor and process data that remains underutilized, leaving manufacturers and energy producers unable to respond quickly to changing conditions. Traditional analytics tools require specialized expertise and operate retrospectively, delaying the identification of inefficiencies, equipment risks, and quality issues until after they have already impacted production.
Solution
Prometheus provides an AI-native operations platform that continuously ingests real-time data from industrial sensors, equipment controllers, and enterprise systems to build dynamic digital models of production processes. The platform applies machine learning algorithms to detect anomalies, forecast equipment performance, and recommend optimal control actions automatically. Operators interact with an intuitive dashboard that presents actionable insights, prioritized alerts, and predicted outcomes with clear confidence scores. The system learns continuously from new data, improving its recommendations over time and enabling a shift from reactive maintenance to proactive, autonomous operations management.
Target Audience
Primary customers are manufacturing plants, energy utilities, and process industries that rely on continuous or batch production and seek to reduce downtime and operational costs through AI-driven optimization.
Features
- Real-time data ingestion from industrial sensors, PLCs, SCADA systems, and historian databases
- Machine-learning-based anomaly detection and predictive maintenance models tailored to industrial equipment
- Digital twin simulation capabilities for what-if analysis and process optimization
- Automated control recommendations with confidence scoring and operator override options
- Role-based dashboard with prioritized alerts, trend visualizations, and audit trails for compliance
- RESTful API and integration adapters for connecting to commonly used industrial software and ERP systems