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Sentient Science

The most intelligent physical asset management & performance system in the world.

About Sentient Science

Sentient Science is a technology leader specializing in material science and physics-based prognostic modeling. Our core expertise lies in predicting the performance, reliability, and lifecycle of mechanical systems through advanced computational methods. By leveraging physics-based data and material science, we provide actionable insights that optimize maintenance schedules, enhance system reliability, and reduce operational costs. Our proven track record with defense and industrial clients demonstrates our ability to deliver innovative solutions to complex technical challenges.

Sentient’s DigitalClone® is a patented digital twin, AI SaaS solution, developed in partnership with NASA and the DoD that uses proprietary physics-based modeling to predict the life of mechanical systems, optimize advanced manufacturing, and recommend timely and life-saving maintenance. With detailed insight into microstructure properties, the physics of friction, lubrication, and wear, the software predicts fatigue, future performance, life cycle, and failure. Customers use DigitalClone® to unlock insights that lower the costs of designing, operating, and sustaining high value assets for rotorcraft, ground vehicles, industry equipment, and energy regeneration platforms. Think of advanced asset management for mission critical mechanical systems. As the market continues to mature particularly in advanced manufacturing, we are seeing rapidly increasing traction in the additive manufacturing/3D printing space where we have patented technology as well that builds on our core DigitalClone platform.

The company’s customer base includes Shell, Lockheed Martin, Raytheon, Rolls-Royce, NASA, Booz Allen, and Liberty Power, the US Army, the US Air Force, the US Navy, and the Department of Energy.

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Problem statement

Existing asset management and maintenance prediction methods rely on a combination of sensors, diagnostics, advanced analytics, and machine learning algorithms that typically leverage very outdated schematics and limited historical performance data. This generally results in failure and critical maintenance warnings occurring 0-4 months before failure. These approaches also generally only report when they expect the failure to happen with very little additional detail with much confidence. With our approach we are able to increase that time horizon to up to 18 months in advance as well as provide extremely accurate diagnostics that answer how and why the failure will occur with recommendations for improvement. This saves our clients both time and money and in certain cases, like with the US Army, it is lifesaving.

Traction information

- Awarded US Army Future Vertical Lift program which is projected to be $53 million in revenue over next 10 years
- 5-yr SBIR (non-dilutive govt funding) Phase III IDIQ with US Army
- 4 National Institute of Standards in Technology Awards
- Will reach just over $3 million in revenue in 2024 with virtually no sales and marketing team and on track to deliver $13 million in 2025.
- Clear roadmap to $100 million in revenue through existing client relationships
- Accepted into the Microsoft Startup Program to help us co-develop Microsoft compatible and platform agnostic client environments that leverage the best in GENAI

Updates

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