What H2E Power Systems does

H2E Power Systems (DBA: h2e POWER) is an Indian clean-technology company that develops AI-powered autonomous control systems for solid oxide electrolyzer (SOE) technology used in green hydrogen production. The company's core offering combines proprietary autonomous control software with SOE hardware, deployed on a 20 kW pilot system that has achieved over 6,000 hours of stable operation and demonstrated a roughly 10% reduction in the levelized cost of hydrogen — equivalent to approximately €500,000 in annual savings for a typical 10 MW plant. The control system is built on Microsoft Azure AI infrastructure and integrated with Schneider Electric's EcoStruxure Automation Expert platform, enabling unified engineering, simulation, commissioning, and operations workflows.

H2E Power sells to industrial hydrogen producers and energy-intensive manufacturers seeking to decarbonize via green hydrogen, with the system positioned to address legacy hardware-locked controls, high engineering costs, and the complexity of scaling SOE-based production. The revenue model is described as subscription/recurring for industrial automation solutions, with pricing provided on an enterprise-quote basis. Go-to-market is enterprise field sales in India combined with indirect distribution through Schneider Electric's global industrial automation channel.

The company operates as a founder-led private entity (co-founders include CEO Siddharth Mayur, Mahesh Agashiwala, Amarnath Chakradeo, and Bhavana Mayur) with 1-10 employees. As of April 2026, H2E Power's deployment is its own proof-of-concept, with Schneider Electric and Microsoft serving as core strategic and technology partners rather than paying customers, indicating the company is at an early commercial stage despite operational validation milestones.

Name

H2E Power Systems

Legal name

H2E Power Systems

Website

https://h2epower.net

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

1–10 employees

Short description

H2E Power Systems is an Indian cleanTech company that builds AI-powered autonomous control systems for solid oxide electrolyzers used in green hydrogen production, selling to industrial manufacturers and energy infrastructure operators via enterprise channels and partnerships with Schneider Electric and Microsoft.

Ownership category

akta.pro rank

Product category

Green Hydrogen Production Technology

NAICS

Relay and Industrial Control Manufacturing (335314), Turbine and Turbine Generator Set Units Manufacturing (333611)

SIC

Electrical Industrial Apparatus (3620), Electronic & Other Electrical Equipment (No Computer Equip) (3600)

akta.pro primary industry

Hydrogen Energy Storage & Power-to-X Equipment (electrolyzers, storage, fuel cell systems) (IMAGAHAM)

akta.pro secondary industries

Industrial Electrification of Drives & Equipment (Motors, VFDs, Compressed Air, Pumps) (EUABAJAE), Safety, Monitoring & Compliance for PtX Storage (Leak Detection, Hazard Mgmt, Standards) (EUAFAFAJ)

Keywords

• Green hydrogen production
• Solid oxide electrolyzers
• Industrial automation software
• AI process control
• Clean energy systems

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Industrial Automation Solutions: Providing AI-powered autonomous control systems for industrial hydrogen production facilities, with deployment and integration services for enterprise customers in the green hydrogen sector.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels2 records

Core offering

H2E Power Systems deploys AI-powered autonomous control systems on solid oxide electrolyzer (SOEL) technology to enable industrial-scale green hydrogen production. The company combines solid oxide electrolyzer hardware with autonomous control software co-developed using Schneider Electric's EcoStruxure Automation Expert and Microsoft Azure AI, targeting large industrial facilities focused on decarbonization. Its reference deployment on a 20 kW electrolyzer has demonstrated over 6,000 hours of stable autonomous operation and a ~10% reduction in levelized cost of hydrogen.

Differentiator

Problem solved

Functional benefit

Products and services

• AI-Powered Autonomous Control System for Solid Oxide Electrolyzers Software-based autonomous control platform that operates solid oxide electrolyzer (SOEL) systems with minimal human intervention for green hydrogen production. Aimed at large industrial enterprises and energy infrastructure operators seeking automated, reliable hydrogen production at scale.

Quantifiable outcome

• 10% reduction in levelized cost of hydrogen production, equating to approximately €500,000 annual savings for a typical 10 MW plant
• +3 more outcomes

Named customers1 record

Segments3 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Feature3 records

Partnerships

Two partnerships are on record, tiered core.

• Schneider ElectriccoreStrategic or Co-development Partner · 1 April 2026Schneider Electric partnered with H2E Power as an early adopter for AI-powered autonomous control systems in green hydrogen production. The deployment on a 20 kW solid oxide electrolyzer achieved over 6,000 hours of stable autonomous operation, demonstrating the viability of AI-driven industrial automation in hydrogen production. Schneider Electric showcased this deployment at Hannover Messe 2026 as a flagship customer success case.
• MicrosoftcoreTechnology or Integration · 1 April 2026Microsoft collaborated with H2E Power to deploy Azure AI-powered autonomous control systems on solid oxide electrolyzer technology. The partnership combines Microsoft Azure cloud and AI infrastructure with H2E Power's hydrogen production expertise, achieving significant cost reductions and operational stability improvements. H2E Power served as proof of concept for the Azure AI factory tools developed by Microsoft and Schneider Electric.

Scale indicators5 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• Sunfire: Sunfire is a leading European manufacturer of solid oxide electrolyzers (SOEC) for green hydrogen and Power-to-X. As a direct hydrogen hardware peer working in the same SOE technology space that H2E Power's AI control layer targets, Sunfire is the most comparable peer for end-customer overlap and technology alignment.
• Topsoe: Topsoe is a major provider of SOEC solid oxide electrolyzer stacks and plant technology for green hydrogen. Comparable to H2E Power in targeting the same SOE-based hydrogen production niche, though Topsoe is the underlying hardware OEM while H2E is the control-software integrator.
• Bloom Energy: Bloom Energy manufactures solid oxide fuel cell (SOFC) systems and has expanded into electrolyzer technology. Closely adjacent to H2E Power in operating in the SOE/SOFC technology family for hydrogen, though Bloom is much further along in commercialization and a likely future acquirer or integrator of H2E-style control software.

Broad incumbents

• AVEVA: AVEVA is a global industrial software leader offering process simulation, control, and AI-driven optimization for industrial plants. Comparable to H2E Power as an industrial AI control and operations platform targeting process industries (chemicals, energy), though AVEVA is a broad incumbent across many verticals rather than hydrogen-specific.
• Siemens Industrial AI: Siemens offers industrial AI and process automation (including via Siemens Energy) for hydrogen production facilities. Comparable to H2E Power in targeting AI-driven optimization of industrial hydrogen plants, but with vastly broader scope across automation, electrification, and energy verticals.
• Honeywell Forge / Process Solutions: Honeywell provides industrial automation, process control, and AI software (Forge) widely used across energy and chemical plants. Comparable to H2E Power as a process automation vendor that could serve hydrogen production customers, though much broader in scope and a potential competitor on the autonomous-control layer.
• ABB Industrial AI: ABB provides industrial automation, robotics, and AI-driven control systems for process and energy industries. Comparable to H2E Power in offering automation/control technology for industrial hydrogen and clean-energy applications, though operating across a much broader portfolio of industrial verticals.
• Emerson (AspenTech): Emerson, via AspenTech and Ovation, is a leading industrial process control and AI optimization software vendor for energy and process plants. Comparable to H2E Power as a control software platform for industrial production, though much broader in scope with deep entrenchment across chemicals, refining, and power.

Emerging players

• Nel ASA: Nel ASA is a Norwegian electrolyzer manufacturer focused on alkaline and PEM hydrogen production. Comparable to H2E Power in the green hydrogen production space, but with different stack technology (alkaline/PEM vs H2E's SOE focus) and a more mature commercial-scale footprint.
• C3.ai: C3.ai provides industrial AI applications for process industries including energy and manufacturing customers. Comparable to H2E Power in delivering AI-driven optimization for industrial operations, though C3 is a broader enterprise AI software company while H2E is vertically specialized in hydrogen.

Market position

Strengths4 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/h2epower
• LinkedInlinkedin.com/company/h2e-power-systems-pune

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds1 record

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 H2E Power Systems