What Twinify Technologies does

Twinify Technologies, LLC is a New York-based, private B2B SaaS company that builds, deploys, and manages digital twin software for power generation and other asset-intensive industries. Founded as a wholly-owned subsidiary of the American Society of Mechanical Engineers (ASME), Twinify sells an OEM-agnostic platform that ingests sensor, operational, and historical data from generating assets — combustion turbines, solar/battery installations, on-site industrial power — and applies machine learning, physics-informed AI, and standards-based engineering calculations (Performance Test Codes, IEC documents) to produce five modular applications: Performance, Risk, Financial Analysis, Sustainability, and Strategy. The platform is positioned as composable and embeddable via APIs so it can layer onto a customer's existing digital enterprise rather than replace it, with targeted value propositions including reduced unplanned maintenance, asset performance benchmarking, production cost forecasting, ESG/sustainability reporting, and strategic scenario simulation.

The company operates an enterprise field-sales motion: pricing is quote-based, contracts are multi-year, and the buying process is driven by tailored demo applications (e.g., Solar Performance, Combustion Turbine Fuel Performance, Maintenance, Strategy) and consultative selling. Go-to-market targets energy producers and large industrial operators as primary customers, with supporting asset-focused segments in green energy (solar, wind, battery storage), simple-cycle combustion turbines, and on-site power generation. Demand generation supplements direct sales through a content-led program (Forbes Technology Council thought leadership, white papers, blog resources) and Hubspot/Mailchimp email nurture.

Twinify is a small organization of 11-50 employees, headquartered at 2 Park Avenue, New York, and led by a team of Black & Veatch veterans (President April Anderson, Chief Architect Brian Baker, Director of Software Development Joshua Bowen), with Raymond Wong as Senior Director of Business Development and an advisory board drawn from clean energy, aerospace, and power-industry backgrounds. The business is privately funded within the ASME parent, with no external venture or private equity capital identified.

Name

Twinify Technologies

Legal name

Twinify Technologies, LLC

Website

https://twinify.com

Company type

Private

Operating status

Operating

Headcount range

11–50 employees

Short description

Twinify Technologies builds an OEM-agnostic, ML- and physics-AI-powered digital twin SaaS platform that monitors, predicts, and optimizes performance, risk, financial, sustainability, and strategy outcomes for power generation and other asset-intensive enterprises, sold enterprise-direct by the New York-based ASME subsidiary.

Ownership category

akta.pro rank

Product category

Digital Twin Software for Energy Assets

NAICS

Software Publishers (513210), Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Predictive Maintenance Analytics & APM Software (AI/ML, Digital Twins) (EUAEAKAH)

Keywords

• Digital twin software
• Asset performance management
• Predictive maintenance platform
• Energy analytics software
• Industrial IoT platform

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Software as a Service (SaaS) Platform: Twinify operates as a SaaS platform providing digital twin solutions to asset-intensive energy companies. The platform offers applications for performance, risk, financial analysis, sustainability, and strategy. Revenue is generated through software subscriptions with tailored solutions delivered rapidly to clients.

Pricing tiers

Go-to-market motion1 record

Distribution channels2 records

Marketing channels5 records

Core offering

Twinify builds a cloud-based digital twin SaaS platform that creates virtual replicas of physical energy assets such as solar fields, batteries, and combustion turbines. The platform uses machine learning, physics-informed AI, and engineering models to deliver real-time performance monitoring, predictive maintenance, risk assessment, financial analysis, sustainability tracking, and strategic scenario planning for asset-intensive energy producers. Capabilities are delivered as modular, embeddable applications that customers can integrate via APIs into their own systems.

Product overview

Twinify Technologies offers a cloud-based digital twin platform for asset-intensive energy industries. The core Twinify Platform creates virtual replicas of physical energy assets using data, engineering math, modeling, and simulations. The platform consists of five primary applications: Performance (monitoring asset health and benchmarking), Risk (assessing and evaluating asset risk), Financial Analysis (production costs and ROI), Sustainability (ESG and environmental metrics), and Strategy (scenario exploration and strategic planning). Additionally, specialized asset-specific modules cover Green Energy (solar), Simple Cycle (combustion turbines), and On-Site Power generation. Twinify's solutions are OEM-agnostic and designed to integrate with existing enterprise systems, offering composable and embeddable digital twin capabilities.

Differentiator

Problem solved

Functional benefit

Products and services

• Twinify Digital Twin Platform Cloud-based digital twin platform that creates virtual replicas of physical energy assets such as solar fields, battery storage, combustion turbines, and on-site power generation assets. Uses machine learning, physics-informed AI, and engineering models to provide real-time monitoring, predictive maintenance, risk assessment, financial analysis, sustainability tracking, and strategy/scenario planning. Designed for asset-intensive energy producers and delivered through modular, embeddable applications with API access.
• Performance Application Application within the Twinify platform that provides real-time performance monitoring, baselining, and predictive maintenance for energy assets, evidenced by customer deployments on solar fields and combustion turbines.
• Risk Application Application within the Twinify platform that delivers risk assessment for asset-intensive energy operations, enabling operators to identify and quantify operational and asset-level risks using the digital twin.
• Financial Analysis Application Application within the Twinify platform that performs financial analysis on energy assets, using the digital twin to evaluate financial performance, asset-level economics, and investment scenarios.
• Sustainability Application Application within the Twinify platform that tracks sustainability metrics for energy assets, using the digital twin to monitor environmental performance and emissions.
• Strategy Application Application within the Twinify platform that supports strategic scenario planning for energy producers, using the digital twin to model scenarios and inform long-term asset and portfolio decisions.

Quantifiable outcome

• Up to 60% less time-to-market for new capabilities
• +1 more outcomes

Named customers2 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature9 records

Partnerships

One partnership is on record.

• ASME (American Society of Mechanical Engineers)coreOthersTwinify Technologies is a subsidiary of ASME. This parent-subsidiary relationship provides Twinify with the backing and credibility of a well-established engineering organization. ASME's industry standing enhances Twinify's positioning as a trusted provider of digital twin solutions for asset-intensive energy industries.

Scale indicators5 records

Recent moves6 records

Expansion highlights4 records

Broad incumbents

• Siemens Xcelerator: Siemens Xcelerator (including MindSphere) provides digital twin and asset analytics for power and industrial assets, with deep combined-cycle gas and utility relationships. Comparable in target buyer and digital-twin use cases, but bundled into a much broader OT/IT suite.
• Schneider Electric (EcoStruxure): Schneider Electric's EcoStruxure platform delivers asset performance and energy management digital twins for utilities, distributed energy, and industrial customers. Comparable target buyers and digital-twin scope, with stronger EMEA presence and broader energy management offering.
• GE Digital (Predix): GE Digital's Predix platform offers asset performance management and digital-twin capabilities for power generation and industrial customers. Directly comparable as an enterprise APM/digital-twin platform competing for the same utility and IPP buyers, but with far broader scale, OT integration, and a full industrial-software portfolio.
• AVEVA: AVEVA provides industrial software including asset performance, simulation, and digital twin capabilities for power, utilities, and process industries. Closely comparable in serving engineering-rich asset-intensive customers, with a stronger footprint in EPCs and engineering design.
• C3 AI: C3 AI provides enterprise AI applications including asset performance and reliability digital twins for energy and industrials. Comparable in AI/ML-based asset analytics at enterprise scale, with broader applicability beyond pure power generation.
• Honeywell Forge: Honeywell Forge offers predictive maintenance, asset performance, and digital twin solutions for industrials and power producers. Comparable APM and digital-twin functionality for similar enterprise energy and on-site-power buyers, but as part of Honeywell's broader process-controls portfolio.
• ABB Ability: ABB Ability provides asset health, predictive maintenance, and digital twin solutions for power generation, grids, and industrial assets. Comparable in serving utility and industrial asset operators, with deep installed base in turbines, drives, and controls.

Emerging players

• Augury: Augury offers AI-based asset health and process optimization for industrial and energy assets, with composable solutions and strong OEM partnerships. Comparable in AI-driven predictive analytics for energy/industrial customers, but with a stronger vibration/sensor-hardware angle.
• Uptake: Uptake provides AI-driven asset performance management and predictive maintenance for industrial and energy customers, including renewables. Comparable in predictive analytics for energy assets and in OEM-agnostic data aggregation philosophy.

Direct peers

• Bentley Systems (iTwin Platform): Bentley's iTwin platform is an open digital-twin cloud service for infrastructure and industrial assets, including power generation. Highly comparable as a digital-twin platform targeting engineering-driven asset-intensive industries with composable, embeddable architecture.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/twinify-technologies
• Xx.com/twinifytech
• Facebookfacebook.com/TwinifyTechnologies

Revenue estimate

Valuation estimate

Number of profiles

Profiles7 records

Funding overview

Funding rounds

Investors

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 Twinify Technologies