Energy. Done by the model.
Aether serves the energy transition end-to-end. Tokamak MHD equilibrium and divertor thermal at 18 MW/m². Advanced-reactor safety analysis. Grid-resilience simulation. Wind-turbine aeroelasticity and battery-pack thermal under fast-charge. The substrate the next century of energy infrastructure runs on — built for sovereign, ITAR-clean and national-lab consortium deployment.
What the model actually computes.
These are the workloads the AI runs in energy — rendered live in SVG. Each panel is the geometry the model is reasoning about, the physics it solves for, and the validation it lands against measured reality.
Aether is the AI doing the energy work.
Three things to know about the AI underneath every workload on this page. We aren't building a chat surface for your team — we are training a foundation model that plans, runs and reports.
The AI does the discipline
Not a chat interface over your engineers. A foundation model that plans the study, picks the method, runs the agents, validates against measured reality and writes the report. The same shape an experienced practitioner would follow — done by the model.
One model, your context
We don't ship a sibling model per industry. The same Aether weights serve every discipline, but the agents on top are trained against your standards, your historical data and your regulatory posture.
Reality is the regulariser
We train on simulation, instrument and design data — not scraped text. The model gets better the more reality it touches. Reality is what tells it when it's wrong.
National Labs Consortium.
“The model runs inside our compartment. Nothing leaves. The same Aether our partners use in industry, on our hardware, under our boundary.”
Sovereign Aether deployment, air-gapped, ITAR-clean.
The work, done by Aether.
These are the workloads Aether already runs in energy. Not a wish-list. Each ships with validated benchmarks and traces a senior engineer can read end-to-end.
- 01
Fusion
Tokamak and stellarator MHD equilibrium, edge plasma transport, divertor heat exhaust, breeding-blanket neutronics, magnet coils at 4 K under fault loads. ITAR-clean compartments where the work demands it.
- 02
Advanced fission
Reactor-physics neutronics, thermal-hydraulics, fuel-performance modelling for Gen-IV designs — SMRs, MSRs, sodium-cooled. Coupled multiphysics on one mesh.
- 03
Wind & renewables
Wind-turbine aeroelasticity, gust response, fatigue spectra. Solar-thermal receiver flux, photovoltaic degradation modelling, hydrogen-electrolyser coupling.
- 04
Battery & storage
P2D electrochemistry coupled with pack-level thermal. Thermal-runaway propagation, fast-charge degradation, solid-state and silicon-anode chemistries on the same model.
- 05
Grid & power electronics
Resilience simulation under disruption, transient stability, power-electronics converter design. From substation to silicon under one foundation model.
- 06
Hydrogen & catalysis
Electrolyser design, electrocatalyst discovery via DFT screening, fuel-cell membrane modelling. Materials work feeding directly into the engineering loop.
“We are building the AI that does energy — not the one that talks about it. Aether doesn't ask your engineers to drive its solvers. It runs the work, validates the artefact and writes the memo.”
The stack today.
The typical stack in energy — a half-dozen seven-figure renewals stitched together with internal glue code. We replace the spine; we don't touch the niches that work.
The agents in the mix.
Aether coordinates these specialist agents for energy. Each is independently deployable, but the coordination — and the foundation model underneath — is what makes them more than a folder of scripts.
How we ship into regulated energy.
The pieces that matter to procurement, security review and the regulator. We ship into industries where the boundary is real and the audit is unforgiving.
ITAR-clean compartments for defence and aerospace work
Export-control gating on agent capabilities by jurisdiction
Sovereign / air-gapped deployments — zero outbound traffic
Reproducible runs signed by model-version hash for design-review
Other companies shipping with us.
A slice of the customers we're allowed to name. The pattern repeats: one workload, one pilot, one comparison memo we co-author.
- Aerospace
Northwind Aerospace
Retired a $1.8M CAE renewal across two quarters.
62%wall-clock reductionRead the story - Drug discovery
Lyrebird Therapeutics
Closed the discovery loop on a fibrosis programme.
9 weekshypothesis → measured hitRead the story - Chip design
Helix Silicon
RTL to signoff on a 4nm SoC — without an incumbent-EDA renewal.
0EDA license serversRead the story
The AI is also running here.
A foundation model that serves twenty-two industries today. The same weights, different agents, different pilot patterns. Browse the ones nearest yours.
Questions about energy.
What does Aether replace in energy?
The incumbent stack here — Plasma-physics codes, Reactor-physics & neutronics suites, Grid-simulation platforms, Wind-turbine multiphysics tools and more — collapses into one model and one project file, with Aether for engineering and Aether for drug discovery doing the work under one safety story.
What outcomes should we expect?
18 MW/m² (divertor heat flux resolved); 54 °C (T_max · pack thermal · 4C fast charge); 3 (national-lab consortia · sovereign deploy) — scoped to your workload and measured against your own acceptance criteria.
How does a pilot work?
Three to eight weeks against a workload and a win condition you co-author. We run alongside your incumbent stack on real cases; if we aren't better on the metric by quarter end, the rest of the quarter is on us.
Can it deploy inside our boundary?
Yes — managed, in your VPC, on-prem or fully air-gapped on Aether Cloud, with the audit trail and provenance the regulated parts of this work require.
The AI is ready for energy.
Send us the workload that hurts. We'll come back with a scoped pilot — three to eight weeks, win condition co-authored. If we aren't better on the metric by quarter end, the rest of the quarter is on us.