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1 Seneca St 29th 59, Buffalo, NY 14210, USA
Buffalo
United States of America
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2 years, 5 months agoDigital twin SaaS solutions for automotive, aerospace & defense, and wind
Sentient Science Corporation provides digital twin technology to predict the life of mechanical systems. Sentient’s DigitalClone® SaaS solutions use proprietary physics-based modeling and machine learning AI to unlock insights that lower the costs of designing, operating, and sustaining high value assets in Automotive, Aerospace & Defense and Wind.
Sentient Science is a leader in prognostic solutions with patent for physics-based life prediction and many others pending. The technology has been recognized by the SBIR program with the 2014 Tibbetts Award, by Bloomberg as New Energy Pioneer Award in 2016, Frost & Sullivan in 2017 with the New Product Innovations Award for Wind Prognostics, Top 10 Aviation Providers 2020 by Aerospace & Defense Review: Aviation 2020 Edition and by NIST in 2022 for best Additive Manufacturing simulation software.
DigitalClone has five Product Offerings:
DigitalClone for Additive Manufacturing: a multi-scale and multi-physics tool that uniquely links the process, microstructure and fatigue to provide design and computational testing
DigitalClone for In-Situ Monitoring: a hardware and software solution embedded in a 3D printer to detect AM print defects in real time and control the AM printer to correct the defect in-situ
DC-E DigitalClone for Engineering: a physics-based patented and validated design solution to model drivetrains and predict individual component's life under real-world operating conditions
DigitalClone for Operations and Maintenance: an AI/ML based digital twin that detects underperformance and damage based on the current “as maintained” configuration of an asset in operation. such as but not limited to wind turbines
DigitalClone for Sustainment: an integrated physics-based and ML-based digital twin for sustainment planning from cradle to grave, relying on physics at the early data-poor stage of operations and increasingly on machine learning at the data rich operational stage
Computational Testing, Prognostic Condition Based Monitoring, Tribology, Material Science, Mechanical Failure, Digital Twin, 3D Printing, Life Extension, Wind Turbine, Helicopter, eVehicle, Life Prediction, Drivetrain, Gearbox, and Powertrain
DigitalClone Software predicts the short and long-term failure rates of mechanical systems to identify life extension actions that reduce cost.