The teams shipping with Aether.
We publish customer stories with numbers — the workload, the comparison, the cycle-time. Every story below was reviewed and approved by the team that ran the campaign. Reproduce the methodology if you can; we'd rather you didn't have to trust us.
Customers across every continent — every shape.
Managed cloud for most. Customer VPCs for the data-sensitive. Sovereign and air-gapped sites where the boundary is real. The dots below pulse if the site is sovereign.
Six reasons teams pick the model over the incumbent.
We earn each pilot on the metric. These are the reasons teams choose Aether when the comparison is honest and the numbers are public.
The AI does the work
Not a copilot waiting on prompts. Aether plans the study, runs the agents, validates the artefact and writes the memo. The work itself, done by the model.
One model, every discipline
The same foundation model serves docking, structural FEA, chip signoff and wet-lab campaigns. No sibling models, no per-vertical surrogate weights, no per-industry blind spots.
Numbers we'll publish
Every customer engagement starts with a written win condition. We co-author the comparison memo. If we aren't better on the metric by quarter end, we say so on the same page.
Sovereign by default
We deploy where your data already lives. Managed cloud, your VPC, on-prem, air-gapped. Zero outbound traffic in sovereign mode — including from the model weights themselves.
Built for the regulated parts
GxP, 21 CFR Part 11, ITAR, SOC 2 Type II. Immutable per-run traces, eval-gated promotion, signed by model version and agent ID. The audit story isn't an afterthought.
No demo workspaces
Every customer story below ran on real data in the customer's real environment, paired with a forward-deployed engineer. No staged datasets, no curated screenshots.
Five stories, every discipline.
One AI shows up differently in every discipline. The case studies below trace what changed for each team — and what the same model did underneath.
- Aerospace · Aether for engineeringNorthwind Aerospace
Retired a $1.8M CAE renewal across two quarters.
62%wall-clock reduction10 / 12cases Aether won$1.8Mrenewal retired - Drug discovery · Aether for drug discoveryLyrebird Therapeutics
Closed the discovery loop on a fibrosis programme.
9 weekshypothesis → measured hit12compounds to benchGxPaudit pass — first try - Chip design · Aether for semiconductorsHelix Silicon
RTL to signoff on a 4nm SoC — without an incumbent-EDA renewal.
0EDA license serversFirst-revfunctional silicon17agents drove the flow - Software · Aether for softwareFern Platform Co.
One coding agent across every IDE surfaces.
15vendor adapters in production+18%PR merge velocity−42%review-cycle time - Public sector · AetherNational Labs Consortium
Sovereign Aether deployment, air-gapped, ITAR-clean.
0 bytesleaving the boundaryAir-gappeddeployment shapePer-upgradered-team verification - Robotics · Aether for roboticsStrider Robotics
Took a humanoid manipulation policy from lab demo to factory line in one quarter.
1 quartersim-trained policy → production line4 → 1bespoke sim tools retired1world model, two embodiments - Cybersecurity · Aether for cybersecurityMeridian Financial
Cut a critical-CVE triage from a two-day fire drill to an afternoon.
2 days → hourscritical-CVE triage to confirmed fixDigital twinexploit confirmed off a sandboxed copy0actions taken against production to prove it - Critical infrastructure / OT · Aether for cyber-physical securityCascade Grid Operator
Ranked OT intrusions by what they'd do to the grid, not by CVSS.
Feeder-levelconsequence ranking, not severity scoresCoupled twinnetwork + power-flow, one model0active scans against live controllers - Materials science · Aether for materials scienceHelix Turbine
Hit a creep-life target with an alloy the database didn't contain.
Target-firstcomposition designed to the spec, not searchedInverseproperty → composition, not the reverse5-wayphysics gates before any melt - Energy · Aether digital twinsBraeburn Power
Caught a compressor fouling trend six weeks before it tripped a unit.
6 weeksearly warning before the failure windowLiving twinsynced to plant telemetryCyber vs. faulttold apart by physics - Aerospace & motorsport · Aether generative designVelocity Motorsport
Cut a suspension upright's mass by a third — qualified, on the first print.
First printvalidated and producible, no DfM reworkIn-the-loopFEA on every candidateParetomass vs. stiffness, not one answer - Telecom · Aether for 5G & telecomcompliance-automation toolsge Mobile
Cut drive-testing by most of it — and tuned the RAN against a twin instead.
Most drive-testsretired for a planning twinRay-tracedcoverage from the physicsClosed loopRAN tuned on the twin
“We expected an AI that would write Python around our existing tools. We got something that replaces them. The renewal we were dreading is the renewal we retired.”
Aether is in production across every physical-world discipline.
A breakdown of where the AI is running today, by industry. The numbers are live deployments, not letters of intent. The pattern: we earn each industry one workload at a time.
- 11Aerospace
primes, suppliers, defence integrators
- 9Pharma & biotech
small-molecule, biologics, CGT
- 6Semiconductors
fabless, design services, IP houses
- 5Automotive
OEMs, tier-1 suppliers, EV start-ups
- 3Public sector & national labs
sovereign air-gapped deployments
- 4Energy & fusion
ICF programmes, magnetic confinement
- 8Software
platform teams, hyperscale infra
- 5Materials & chemicals
novel formulations, catalysis
Eight weeks from scope to signal.
No demo workspaces. No staged datasets. Every customer story above started with a paid pilot scoped to one real workload, a written win condition, and a forward-deployed engineer paired with the team.
- 01Week 0
Scope
We sit with your engineers and name the workload that hurts most. Agree the data, the boundary, and the metric we'll be measured on in writing.
- 02Weeks 1–2
Stand up
Aether deploys into your environment — managed cloud, your VPC, on-prem or air-gapped. We connect to the data we agreed on; nothing else.
- 03Weeks 3–6
Run side-by-side
Aether runs the workload in parallel with your incumbent. Every artefact carries the model version that produced it. You see every trace.
- 04Weeks 7–8
Comparison
We co-author the comparison memo. If we aren't better on the metric, we say so on the same page — and the rest of the quarter is on us.
What customers say when the comparison is over.
Quotes pulled from pilot retrospectives and customer reviews. Attributed to the role and the org, not the individual — we respect customer-side discretion.
“We expected an AI that would write Python around our existing tools. We got something that replaces them. The renewal we were dreading is the renewal we retired.”
Head of CAEglobal aerospace prime“It's the first platform we've used where the readout actually goes back into the model. Not into a CSV, not into an email — into the model.”
VP, Computationalfibrosis-stage biotech“We taped out a 4nm SoC without an incumbent-EDA renewal. The signoff pack is signed by the model version that produced it.”
SoC architectfabless silicon“Same agent across our editors, our hosted runners, and our CI. Our engineers don't reonboard between contexts. The agent travels with them.”
Head of Platformenterprise SaaS
Built for the regulated parts of the work.
The compliance frameworks the platform is built against — not retrofitted for. Every certification below is live, audited, and renewable on the published cadence.
- SOC 2 Type II
- ISO 27001
- 21 CFR Part 11
- ALCOA+
- ITAR-clean compartments
- Export-control-aware
- GxP-grade audit
- Versioned red-team corpus
Be the next number on this page.
Send us your workload. If it's a fit, we'll run a paid pilot with a defined win condition — and write the case study together if it lands.