From rocket ascent to drug ADMET, from tokamak plasma to chip signoff, from robot trajectory to fast-charge thermal — Aether is the AI doing the work. One foundation model, every industry that ships into the real world.
Three things we hold true about the AI we're building — and the reason it's showing up in industries that used to think AI was a chat box for their engineers.
Aether is a foundation model that does the work — plans the study, picks the method, runs the agents, validates against measured reality, writes the memo. The substrate for general physical-world intelligence, not a chat interface.
The same weights serve docking, structural FEA, chip signoff and wet-lab campaigns. Specialisation lives in agents and workloads — not in different models with different blind spots per industry.
We train on simulation trajectories, instrument data and design history — not on scraped text. The model gets better the more reality it touches, and reality is what tells it when it's wrong.
Twelve domains where the AI is already running — from drug discovery to cosmology, from tokamak plasma to chip signoff. Each section shows what Aether computes, the headline result on a representative workload, and the physics the model is reasoning about. The simulations animate as you scroll.
AI that docks ligands at −9.2 kcal/mol, validates with FEP, predicts 18 ADMET endpoints, runs the synthesis route — and hands off a plate-ready candidate to the autonomous wet-lab. Hypothesis to measured hit in nine weeks.
AI for novel materials — DFT-grade phonon dispersion, band structure, formation energy. Screens 10⁶ candidate compositions against your target property in a single autonomous study. Couples with the wet-lab for validation.
AI that drives variational eigensolvers, builds noise-aware circuits, runs QAOA optimisation, and decodes surface-code measurements. 64-qubit ground-state energy to chemical accuracy on NISQ hardware.
AI for the largest simulations we run — ΛCDM N-body, halo finding, weak-lensing emulators, BAO and CMB likelihoods. The substrate for survey-scale analysis at LSST and CMB-S4.
AI that runs ascent CFD, certifies structural margins, designs reusable launchers and tapes out mission-critical avionics. Sovereign-deployed where the data can't leave the boundary. ITAR-clean.
AI that runs tokamak MHD equilibrium, divertor thermal under 18 MW/m² heat flux, magnet structural at 4 K, breeding-blanket neutronics. The infrastructure for the energy of the next century.
AI for external aero, battery pack thermal under fast-charge, crash with battery intrusion, ADAS sensor coverage. Wind-tunnel correlated, road-tested, ready for the homologation cycle.
AI for rotor wake CFD, flight-dynamics flex-body coupling, acoustic emission for community-noise compliance. The whole vehicle simulated under one solve, with link-budget and gust ingestion.
AI for inverse-kinematics planning, flex-body link FEA, contact dynamics, motor electrothermal — the whole robot, from controller to gripper. Tested against real fixtures and real payloads.
AI for real-gas thermochemistry, shock-boundary-layer interaction, TPS ablation. The physics the incumbent CFD codes linearise, treated end-to-end. Re-entry, propulsion, defence applications.
AI for cell-level electrochemistry, pack thermal under fast-charge, thermal-runaway propagation, crash with cell intrusion. Solid-state, silicon-anode, sodium chemistries on the same model.
AI for orbital thermal under sun and Earth IR, structural under launch loads, attitude control with reaction-wheel saturation, comms link-budget. The whole bus, sized and certified.
These are the customers we're allowed to talk about. The pattern repeats — one workload at a time, one pilot, one signed comparison memo. The AI earning the relationship.
Retired a $1.8M CAE renewal across two quarters.
Closed the discovery loop on a fibrosis programme.
RTL to signoff on a 4nm SoC — without an incumbent-EDA renewal.
One coding agent across every IDE surfaces.
Sovereign Aether deployment, air-gapped, ITAR-clean.
The AI is in production in the industries that take production seriously. Sovereign-air-gapped sites, GxP-audited pharma programmes, ITAR-clean compartments, national-lab consortia.
Every industry today. The list grows when a new industry brings us a workload we haven't seen yet. Click through for the AI work, the customers and the agents at play in each.
The incumbent computational-chemistry stack + the wet-lab, replaced by one model.
The incumbent EDA spine, collapsed.
CFD, FEA, EM and aeroelasticity — one project, one model.
Fusion, fission, grid, renewables — under one foundation model.
DFT, MD and the bridge between them.
Liquid handlers + dispensers + open-source robotics, with audit out of the box.
The incumbent coding-agent stack, behind one model.
Coupled thermal-fluid-chemical, in production.
Free academic tier, classroom-safe deploys, citation-grade reproducibility.
Coupled physics + numerical methods + memory provenance for regulated quants.
Drug discovery + ADMET + biostatistics, with HIPAA-grade deploys.
Long-horizon legal reasoning with provenance and audit baked in.
The same coupling that powers multiphysics, applied to commerce.
Long-running productions, audience modelling, rights-aware planning.
Sovereign deploys, FedRAMP-roadmap, audit-grade trace.
Discovery through CMC, on one substrate with ALCOA+ audit.
Donated and discounted access for nonprofit programmes.
Long-horizon analysis, CVE-aware review, capability-gated tool use.
Customer-state-aware automation, capability-gated refunds.
Whole-repo edits, CVE-aware review, fifteen adapter surfaces.
Legacy-codebase migrations across six languages, diffable.
Long-horizon runtime, capability gating, eval-gated deploys.
Where zero bytes leave the boundary.
The bespoke sim, RL and sim-to-real stack, collapsed into one world model.
IT/OT security on the one model that already simulates the physics.
RF, RAN and slicing on the one model that already does the physics.
Send us the workload that hurts. We'll scope a 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.