Healthcare & life sciences. Done by the model.
Healthcare and life sciences span discovery, clinical, and operations — three workflows that conventionally use three different software stacks. Aether handles all three on one substrate. Discovery agents propose molecules and run lab campaigns. Clinical agents handle biostatistics, trial design and submission packaging. Operations agents handle ADMET surveillance and post-market signals.
What the model actually computes.
These are the workloads the AI runs in healthcare & life sciences — 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 healthcare & life sciences 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 healthcare & life sciences. Not a wish-list. Each ships with validated benchmarks and traces a senior engineer can read end-to-end.
- 01
Drug discovery
Docking, FEP, MD, ADMET, generative chemistry. The drug-discovery discipline of Aether.
- 02
Clinical-trial design
Adaptive trial design, virtual control arms, biostatistics. Supports submission-grade documentation.
- 03
Biostatistics
Survival analysis, mixed-effects models, longitudinal analysis. Statistical methods at the same fidelity as commercial packages.
- 04
Pharmacovigilance
Adverse-event signal detection, causality assessment, post-market surveillance. Long-horizon memory tracks signals across years of data.
- 05
Real-world evidence
Claims, EHR and registry-data analysis. Provenance-tracked queries support regulatory submissions.
- 06
Regulatory submissions
Assembly of submission packages, formatting, traceable provenance from raw data to summary statistics. eCTD-friendly outputs.
“We are building the AI that does healthcare & life sciences — 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 healthcare & life sciences — 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 healthcare & life sciences. 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 healthcare & life sciences.
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.
GxP-grade chain-of-custody from compound to candidate
21 CFR Part 11 audit-ready electronic records
FDA AI/ML guidance-aligned model lifecycle management
Biosecurity refusals and dual-use gating at the model layer
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 healthcare & life sciences.
What does Aether replace in healthcare & life sciences?
The incumbent stack here — Per-domain commercial bio software, Bespoke clinical-trial design tools, Specialised biostatistics packages, Vendor pharmacovigilance systems — collapses into one model and one project file, with Aether for drug discovery and Aether for autonomous labs doing the work under one safety story.
What outcomes should we expect?
HIPAA-ready (BAA available, audit-grade); Closed-loop (discovery + wet-lab + bench); GxP + 21 CFR 11 (compliant deploys) — 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 healthcare & life sciences.
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.