Bringing Asset Performance
into the Data Age
TRUSTED BY GLOBAL LEADERS
Prescient builds real-time, history-accurate operational digital twins to improve asset health, reduce non-productive time, and achieve quick economic wins.
Build context-aware predictive algorithms that understand operational conditions
Integrate data from sensors, machines, control systems, and maintenance logs
Optimize and standardize maintenance practices based on data science
Achieve 100% digital twin coverage for Precision Drilling
105
Rigs
236
Mud Pumps
100%
Coverage
52%
Non-Productive Time Reduction
Precision Drilling, a major North American oil & gas drilling company, achieved 100% coverage of its active fleet with 236 mud pump digital twins across 105 rigs. Precision reduced Non-Productive Time by 52% and established itself as an industry leader in equipment quality and operational advantages as ranked by independent research organizations.
Prescient’s technology advantage in processing complex, distributed data systems enables customers to accelerate adoption and scaling to meet today’s demand for rapid innovation.
Distributed functional block programming technology saves 95% engineering time.
Process data at the edge, in the cloud, and rapidly scale with click of a button.
Optimized CPU, memory, and database performances to process high-speed, high-volume data at low compute cost.
Enabling Rapid Data Collection for Bosch Digital Twin Industries
Prescient helps Bosch to automate the data collection and validation process to enable the Bosch team to get high-speed, real-time data in as short as a few days.
Bosch digital twin industries is a leading provider of best-in-class predictive maintenance solutions for asset intensive industries. Having major customers across the globe, it faces the challenge of collecting data from a variety of sensors, machines, and control systems from complex OT/IT environments.
“Prescient knows what it takes to unlock analytics and AI at the edge. They are a major enabler for discovering insights from complex, distributed data at the edge which can take every product to its next level.”
Amir Kashani, Director AI and Digital Product development - Stanley Black & Decker
Start scaling today.
Request a demo and one of our specialists will reach out to answer your solution-specific questions.