Prescient

Founded in 2018 and headquartered in Boston, Prescient delivers cutting-edge distributed data collection and analytics solutions for industrial equipment monitoring and predictive maintenance. Our platform empowers industrial organizations to digitize and optimize maintenance operations using a differentiated drag-and-drop functional block programming model that slashes development time by 95%, enabling ultra-fast deployment of customized solutions. By combining edge computing with cloud orchestration, we enable vendor-agnostic data integration, real-time diagnostics, long-range predictive analytics, and rapid scaling—across complex, multi-site industrial environments. WHAT WE DO We solve three key industrial challenges: - Asset Health Monitoring - Operational Performance Optimization - Supply Chain Visibility With our Operational Digital Twin framework, we unify sensor, equipment, control system, and maintenance data to enable context-aware Condition-Based Maintenance (CBM) and AI-driven Asset Life Modeling (ALM)—delivering failure predictions up to 142 days in advance. PROVEN IMPACT → 52% reduction in Non-Productive Time (NPT) → 40% drop in operating costs → 91% accuracy in component life prediction → Deployed across multiple asset classes including mud pumps, top drives, and generators KEY TECHNOLOGY FEATURES - Edge + cloud hybrid architecture - Drag-and-drop functional block programming (20x faster than software coding) - High-speed, high-volume distributed data processing - Real-time + historical event processing with Transformer-based models - Custom connectors for PLCs, rig data, and industrial protocols - Smart alerts with feedback loop for algorithm training - Operational dashboards for remote and field teams - On-rig predictive AI with minimal network bandwidth needs Achieve impactful maintenance cost reduction and operational performance improvements with Prescient’s leading data technology today.