Education & research. Done by the model.
Aether is built so academic groups can use it without contortion. A free Research tier covers most teaching and non-commercial work; classroom-scale deploys ship with capability gating tuned for student environments; every benchmark in the platform reproduces from a published kit so it can be assigned as coursework.
What the model actually computes.
These are the workloads the AI runs in education & research — 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 education & research 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.
The work, done by Aether.
These are the workloads Aether already runs in education & research. Not a wish-list. Each ships with validated benchmarks and traces a senior engineer can read end-to-end.
- 01
Teaching CFD and FEA
Pre-built course materials, validated cases, and a student-friendly project canvas — without the per-seat licence dance.
- 02
Research reproducibility
Every published Apex benchmark ships with the case, the mesh, the solver settings and the extraction script. Reproduce in a lab session.
- 03
Cross-discipline coursework
A single tool that handles fluid, structural and chemistry projects is straightforward to teach. Students learn the discipline, not the licence server.
- 04
Departmental clusters
Run Aether on your university's cluster without round-trips to a commercial cloud. Air-gapped configurations supported for sensitive work.
- 05
Graduate research
First-class access for graduate research programmes, with model-card co-authorship for work that publishes against our benchmarks.
- 06
Open-science integration
Hand-off to community open-source solvers as tool calls. Aether does not lock graduates into a proprietary scripting language.
“We are building the AI that does education & research — 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 education & research — 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 education & research. 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 education & research.
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 education & research.
What does Aether replace in education & research?
The incumbent stack here — Per-seat commercial CAE in teaching labs, Per-paper computational-chemistry licences, Locally-maintained legacy codes, Closed cloud notebooks — 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?
Free (Research tier for academic groups); Published (reproduction kit per benchmark); Sovereign (deploys for departmental clusters) — 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 education & research.
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.