Prescient Devices, Inc. Employee Directory

Technology, Information and InternetMassachusetts, United States11-50 Employees

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.

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