Aetherion AI

Engineering becomes software.

Aetherion is the proprietary computational intelligence layer of H₂-Enterprises. It encodes engineering logic into reusable computational models that AI agents can generate, simulate and optimise continuously.

01Scientific knowledge

Engineering intelligence, built on scientific knowledge.

Aetherion integrates and connects to more than 15 TB of scientific and engineering knowledge across physics, chemistry, materials science, thermodynamics and related disciplines.

Domain inputs

  • Physics
  • Chemistry
  • Materials science
  • Thermodynamics
  • Related disciplines
  1. 15+ TB scientific & engineering knowledge
  2. Physics models
  3. AI agents
  4. Design · Simulation · Optimization
  5. Real-world validation
  6. Updated knowledge

Updated knowledge returns to the knowledge base.

Domain inputs feed more than 15 TB of scientific and engineering knowledge, which informs physics models and AI agents; they drive design, simulation and optimization, results are checked through real-world validation, and the updated knowledge returns to the knowledge base.
Aetherion computational engineering interface shown on a laptop, with a design assistant, a three-dimensional aerospace cooling concept and a component assembly panel.

02Aetherion AI · An H₂-Enterprises platform

Aetherion — the computational intelligence behind H₂-Enterprises

Engineering becomes software. H₂-Enterprises is encoding its engineering logic into reusable computational models that AI agents can generate, simulate and optimize continuously — across every product family.

The Aetherion flywheelSixteen years of engineering and scientific and engineering data feed Aetherion AI. Aetherion drives computational design, then simulation and optimization, then a physical prototype, then testing and field data, which becomes new proprietary knowledge that returns to Aetherion AI. Every product makes the platform smarter.16 years of engineeringScientific & engineering dataFOUNDATION INPUTAetherion AIComputationaldesignSimulation &optimizationPhysical prototypeTesting &field dataNew proprietaryknowledge
The Aetherion flywheelSixteen years of engineering and scientific and engineering data feed Aetherion AI. Aetherion drives computational design, then simulation and optimization, then a physical prototype, then testing and field data, which becomes new proprietary knowledge that returns to Aetherion AI. Every product makes the platform smarter.Aetherion AIComputationaldesignSimulation &optimizationPhysical prototypeTesting &field dataNew proprietaryknowledge

Foundation input16 years of engineeringScientific & engineering data

Every product makes the platform smarter.Each development cycle adds proprietary knowledge that strengthens future engineering capabilities.

Development logic

Traditional model

  1. Design
  2. CAD
  3. Physical prototype
  4. Test
  5. Redesign

↺ repeated physical iteration

Aetherion model

  1. Requirements
  2. AI design
  3. Physics simulation
  4. Optimization
  5. Manufacturing model
  6. Physical prototype

Geometry is generated, simulated and optimised in software before hardware is built — the physical prototype moves to the end of the process.

  • Generate

    • AI agentic engineering
    • Generative engineering

  • Simulate

    • Computational Fluid Dynamics (CFD)
    • Thermal simulation
    • Digital twins

  • Optimize

    • Materials engineering
    • Catalyst optimization
    • Manufacturing optimization

  • Learn

    • Scientific knowledge integration
    • Autonomous engineering agents

04Technology moat · Computational IP

Every product family reuses the same engineering backbone.

The defensible asset is not a single machine. It is the computational engineering layer underneath all of them — and the proprietary knowledge that compounds inside it.

Platform architecture: Aetherion AI drives computational engineering, which serves nine reusable technology domains, which produce multiple product families for multiple markets.

Intelligence layer

Aetherion AI

Engineering backbone

Computational engineering

Reusable technology domains

  • LOHC
  • SOFC
  • SOEC
  • Thermolysis
  • Pyrolysis
  • Synthetic fuels
  • Thermal systems
  • Materials
  • Aerospace

Product families → markets

  • LOHC-SOFC power
  • SOEC-LOHC storage
  • Waste & synthetic fuels
  • Mobility & aerospace systems

Energy · Data centers · Real estate · Industry · Grid · Maritime · Automotive · Autonomous systems

  1. 01

    Reusable computational IP

    Engineering models, simulation set-ups and design logic owned by H₂-Enterprises — built once, reused by every product family.

  2. 02

    Sixteen years of engineering knowledge

    LOHC storage and release, energy conversion and thermal integration experience since 2010, including the 2016 dehydrogenation prototype.

  3. 03

    Platform, not projects

    The business is built around reusable computational IP and multiple product families rather than single site-specific projects.

  4. 04

    Compounding proprietary data

    Every prototype, test and field result feeds back into Aetherion — the platform gets better with each product.

Aetherion as a Software Platform

Planned Software Licensing

Built for H₂-Enterprises, designed to scale beyond H₂-Enterprises.

Beyond powering H₂-Enterprises’ engineering pipeline, the company intends to license Aetherion to selected industrial and engineering customers.

The planned program will offer access to computational engineering workflows, domain-specific AI agents and physics-informed simulation and optimisation capabilities, subject to product maturity and commercial agreements.

Planned software revenue paths

  1. Enterprise Licensing
  2. Domain-Specific Engineering Agents
  3. Computational Engineering Platform Access
Discuss Aetherion Licensing

Who it is for

  • Industrial engineering
  • Energy systems
  • Advanced manufacturing
  • Research & development