What Sentient Science does

Sentient Science is a private US software company that builds DigitalClone®, a physics-based digital twin platform used by Tier 1 aerospace and defense organizations, wind farm operators, and heavy industrial OEMs to predict when critical components will fail and how they will degrade over time. The platform simulates material fatigue, wear, lubricant degradation, bearing failure, and additive manufacturing microstructure from first principles, using a curated materials database of more than 10,000 alloys refined over two decades across millions of operating hours. DigitalClone® is positioned for both design-phase qualification (replacing physical coupon and fatigue tests) and operations-phase prognostics (extending component life and overhaul intervals), with API-based integration into customer PLM, CMMS, and SCADA systems.

The company operates four primary verticals — Wind Energy, Aerospace, Defense, and Heavy Industry — and has recently added dedicated general management for Rail and Automotive. Its commercial motion is consultative enterprise sales with quote-based, multi-year platform licensing and an engineer-led engagement model. DigitalClone® outputs are designed to be explainable and audit-ready, supporting certification submittals (AS9100 workflows) and depot-level sustainment reviews, which is a structural fit for regulated mission-critical industries.

Headquartered in New York with a research office in West Lafayette, Indiana, Sentient Science has 11–50 employees and has raised roughly $23M in equity from Toba Capital and Georgian across 2015–2018, supplemented by National Science Foundation grants. Customer logos are not publicly disclosed, but published case studies reference an unnamed 1.2 GW wind fleet, Tier 1 aerospace primes, and defense logistics commands. The company has accumulated industry recognition including multiple first-place finishes in Air Force Research Laboratory additive manufacturing challenges. Revenue is not publicly disclosed and no funding rounds appear in the data after November 2018.

Name

Sentient Science

Legal name

Sentient Science

Website

https://sentientscience.com

Company type

Private

Founded year

2004

Operating status

Operating

Headcount range

11–50 employees

Short description

Sentient Science builds DigitalClone®, a physics-based digital twin SaaS platform that predicts component degradation and remaining useful life for Tier 1 aerospace, defense, wind energy, and heavy industrial customers, supporting certification and maintenance decisions.

Ownership category

akta.pro rank

Product category

Predictive Engineering Software

NAICS

Other Measuring and Controlling Device Manufacturing (334519)

SIC

Measuring & Controlling Devices, Nec (3829), Industrial Instruments For Measurement, Display, And Control (3823)

akta.pro primary industry

SCADA/HMI Platforms (IMAGABAB)

akta.pro secondary industries

Instrumentation, Controls & Automation (DCS/PLC/SCADA, SIS, Metering) (EUAEAFAC), Advanced Grid Integration & Control R&D (AI Forecasting, Digital Twins, Synthetic Inertia, Virtual Power Plants) (EUAMAOAG)

Keywords

• Physics-based digital twins
• Predictive maintenance software
• Remaining useful life forecasting
• Additive manufacturing qualification
• Failure prediction platform

Headquarters

HQ city

Buffalo

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D

Revenue model

1. Platform Licensing/Subscription: Enterprise software platform licensed to engineering and operations teams. Pricing is quote-based, likely with annual or multi-year contract terms given the enterprise sales motion and mission-critical asset focus.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels2 records

Core offering

Sentient Science develops and licenses DigitalClone®, a physics-based digital twin SaaS platform that simulates material degradation, fatigue, wear, and failure for critical components such as gears, bearings, and shafts. The platform ingests SCADA and engineering data to forecast remaining useful life and is applied across wind energy, aerospace, defense, and heavy industry fleets. It also predicts microstructure, residual stress, and distortion of additively manufactured parts to accelerate qualification cycles.

Product overview

Sentient Science offers DigitalClone®, a physics-based predictive engineering platform that provides digital twin capabilities for critical infrastructure assets. The platform predicts component degradation and remaining useful life using physics-of-failure models. DigitalClone® serves wind energy, aerospace, defense, and heavy industry sectors, enabling engineering and operations teams to prevent failures before they occur. The platform integrates with PLM, CMMS, and SCADA systems for comprehensive asset lifecycle management.

Differentiator

Problem solved

Functional benefit

Brands

• DigitalClone®: A physics-based digital twin platform that predicts how components and entire systems will degrade — long before they fail. The platform serves aerospace, defense, wind energy, and heavy industry applications.

Products and services

• DigitalClone® Platform

Quantifiable outcome

• 85% reduction in unplanned downtime events
• +10 more outcomes

Named customers3 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability5 records

Feature6 records

Scale indicators9 records

Recent moves6 records

Expansion highlights5 records

Broad incumbents

• ANSYS: ANSYS provides multiphysics simulation and digital twin software used across aerospace, automotive, defense, and energy. It is a broad incumbent that overlaps with DigitalClone® in physics-based engineering simulation, particularly for fatigue and structural life prediction, though Sentient specializes in operational degradation rather than design-phase FEA.
• Dassault Systèmes (3DEXPERIENCE): Dassault's 3DEXPERIENCE platform delivers industrial digital twins across aerospace, automotive, and heavy industry. Comparable to Sentient in targeting model-based systems engineering and asset lifecycle management, but with a much broader portfolio spanning design, manufacturing, and PLM rather than specializing in physics-of-failure prognostics.
• Siemens Digital Industries Software: Siemens Xcelerator and Simcenter portfolios serve aerospace, energy, and industrial customers with digital twin, simulation, and asset performance capabilities. Overlaps with Sentient in physics-based simulation and lifecycle analytics, but competes from a broader industrial-software stack perspective rather than a niche degradation-focused platform.
• Honeywell Forge: Honeywell Forge provides connected enterprise and asset performance software for aerospace, defense, and industrial customers. Comparable in targeting uptime and lifecycle-cost improvements via digital twins and predictive analytics, but as part of Honeywell's broader portfolio of avionics, controls, and industrial automation offerings.
• PTC (ThingWorx): PTC's ThingWorx and Creo platforms provide industrial IoT, digital twin, and PLM solutions used across aerospace, automotive, and heavy industry. Comparable in industrial digital-twin GTM, but broader in scope and less specialized in physics-of-failure fatigue and degradation modeling than Sentient.
• IBM Maximo Application Suite: IBM Maximo is an enterprise asset management platform widely deployed across energy, aerospace, defense, and utilities. Comparable to Sentient in targeting uptime and lifecycle-cost outcomes for critical assets, but positioned as horizontal EAM software rather than a physics-first degradation model.

Direct peers

• GE Digital (Predix / APM): GE Digital's APM and Predix platforms offer asset performance management and digital twins specifically for energy, aviation, and industrial operators. Most directly comparable to Sentient in wind drivetrain prognostics and industrial reliability analytics, with a similar enterprise-sales GTM motion toward fleet operators and OEMs.
• Augury: Augury provides AI-driven machine health monitoring and asset reliability for manufacturing, HVAC, and rotating equipment. Comparable to Sentient in targeting unplanned-downtime reduction and component-level prognostics, but with a sensor-plus-AI architecture rather than physics-first models, and a focus on commercial/industrial rather than aerospace and defense.

Emerging players

• Uptake: Uptake offers industrial AI and asset performance software for sectors including energy, rail, and heavy equipment. Comparable to Sentient in applying AI to industrial uptime and lifecycle management, with overlap in rail and wind, though from a data-driven rather than physics-based foundation.
• Bristlecone (part of Mahindra): Bristlecone delivers supply chain and asset performance analytics with digital twin capabilities for manufacturing and industrial customers. Comparable to Sentient in digital-twin-driven lifecycle management for industrial assets, with partial overlap in heavy industry and discrete manufacturing.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/sentient-science-corporation

Revenue estimate

Valuation estimate

Number of profiles

Profiles7 records

Funding overview

Funding rounds7 records

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Sentient Science