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Apex
Apex Labs

Open research, alongside the product.

Apex Labs is the research and safety programme that sits alongside the commercial product. We fund external safety research, provide free access to academic groups, run an open-benchmark programme, and are spinning up a civilisational-scale model series for the problems no commercial customer pays for directly.

11
visiting researchers hosted to date
23
open benchmarks published
3
partner institutions · civilisational-scale pilot
0
retaliations against good-faith research
Programmes

Six programmes running now.

Each programme has a brief, an application path, and a written commitment from Apex to support it. The brief is published; the commitment is reviewed quarterly.

Active

Free academic access

Free Research-tier access for any accredited academic group.

Citation-grade reproducibility, the published benchmark cases, and the smaller model variants — at zero cost for non-commercial use. We require attribution and basic responsible-use commitments; nothing more.

Funding open

Safety-evaluation grants

Grants for external safety research on Aether.

Grants for academic groups working on AI evaluation, biosecurity refusal-corpus methodology, or red-team techniques for autonomous-lab systems. Reviewed by an external panel; decisions and dissents published openly.

Active

Open-benchmark programme

Publish reproducible benchmarks against Aether.

We commit to open benchmarks for every new release: the case, the mesh, the solver settings, the extraction script, and the model checkpoint hash. Academic groups can publish head-to-head comparisons under a non-commercial licence; we provide reasonable compute support.

Pilot

Civilisational-scale model series

A model series targeted at civilisational-scale problems.

Climate, pandemic preparedness, fusion, food security. Specialised model variants pretrained on the corpora that matter for each problem class, released to qualified non-commercial users at no cost. Pilot launching with three partner institutions in 2026.

Active

Sovereign research access

Air-gapped access for export-controlled academic work.

For academic groups doing research under ITAR, EAR, or equivalent export-control regimes. Sovereign deployment templates and a clearance-aware engagement model. Applications reviewed quarterly.

Funding open

Visiting-researcher fellowship

Three- to twelve-month fellowships at Apex for academic researchers.

Compute, mentorship, and a salary stipend for academics working on problems adjacent to Aether. Output is published openly; intellectual property follows the fellow. Two cohorts per year.

Civilisational-scale series

The problems no commercial customer pays for directly.

The Labs civilisational-scale model series targets six problem classes — work we believe matters at the multi-decade horizon and that commercial revenue doesn't naturally fund. Specialised model variants released to qualified non-commercial users at no cost.

  • Climate & earth system

    Coupled atmosphere–ocean–cryosphere simulation at survey resolution, regional downscaling, extreme-event attribution. The substrate for IPCC-grade analysis you can run yourself.

    Storm-track shifts · ice-sheet retreat · coupled biogeochemistry · regional downscaling
  • Pandemic preparedness

    Pathogen-evolution modelling, transmission dynamics, intervention simulation, biosecurity-grade refusal corpora. Built with biosecurity advisors; never sold; access reviewed by external panel.

    Surveillance signal integration · sequence-aware risk scoring · NPI impact modelling
  • Fusion energy

    Magnetic and inertial confinement physics — MHD equilibrium, edge plasma transport, divertor heat exhaust, breeding-blanket neutronics. Released to fusion programmes with verified safety posture.

    Tokamak operating scenarios · stellarator optimisation · cryogenic structural · tritium handling
  • Food security & agriculture

    Crop-genome breeding simulation, soil microbiome dynamics, drought-resilience screening, supply-chain modelling under climate stress. The science that makes farming the next century viable.

    Yield prediction under stress · CRISPR target prioritisation · pest-resistance modelling
  • Materials for the energy transition

    Catalysts for hydrogen and CO₂ reduction, solid-state battery chemistries, photovoltaic and thermovoltaic absorbers. DFT-grade screening with synthesisability constraints.

    Electrocatalyst design · solid electrolytes · perovskite stability · permanent-magnet alternatives
  • Mental health & neuroscience

    Computational psychiatry, biomarker discovery, intervention modelling. A specialist variant trained on de-identified longitudinal data with research-use-only licensing.

    Treatment-response prediction · longitudinal trajectory modelling · biomarker discovery
How Labs operates

Three commitments that shape the work.

Labs sits inside Apex but operates under different incentives. Customer urgency does not bend the safety findings; commercial sensitivity does not bend the published benchmarks.

Open by default

Benchmarks, methodology, reproduction kits are open. Customer data is not. Where the line falls in between is documented case by case.

Adversarial review welcome

External red-teams and safety researchers are paid for findings under our vulnerability-disclosure programme. We do not retaliate against good-faith research.

Independence preserved

Labs programmes are funded out of operating revenue and report through a separate governance line. Customer relationships do not influence safety findings.

The shared model

Every Labs project runs on one foundation model.

Labs partners get research-tier access to the same Aether that ships to customers. The architecture below is the same backbone in every engagement — different agents on top, same weights underneath.

EVERY MODALITY THE WORK PRODUCESONE SIMULATION-NATIVE FOUNDATION MODEL · SHARED WEIGHTSDISCIPLINE HEADS · OUTPUTS△CAD geometry◇Mesh▦RTL · netlist⌬Molecule∿Spectra◉Plate data</>Code≋Sensorembed · every modalityself-attn · multi-headcross-modal fusionphysics-aware mlpself-attn · multi-headdecoder · discipline routingAether · shared backbone△EngineeringCFD · FEA · controls⌬Discoverymolecules · ADMET▦SemiconductorsRTL → GDS◉Autonomous labsprotocols · analysis</>Softwarewhole-repo edits⌑MaterialsDFT · band structureOne model · shared weights · trained on simulation, instrument and design data — not scraped textv1.0 · sparse-MoE · every modality · every discipline
Partner contributions

What each partner is working on.

A snapshot of the briefs Labs partners are running right now. We name the institution, the principal investigator, the workload and the open question the engagement is set up to answer.

  • MIT · Climate
    Prof. R. Okafor

    Coupled atmosphere-ocean ML emulator

    Open question: “Can a simulation-native model close the climate-emulator scaling gap with reanalysis-grade physics?”

  • Princeton · Plasma
    Prof. K. Yamada

    Tokamak MHD equilibrium + divertor

    Open question: “Where does the model's predicted q-profile diverge from EFIT-reconstructed equilibria, and why?”

  • ETH Zürich · Materials
    Prof. M. Steinmann

    Solid-electrolyte conductivity screen

    Open question: “Can DFT + ML potential surface dopant compositions that outperform the literature panel by 0.5σ?”

  • Stanford · Biology
    Prof. J. Park

    Antibody developability + humanisation

    Open question: “What does the model do that a humanisation expert cannot — and where does the expert still beat it?”

  • Caltech · Aerospace
    Prof. L. Marchetti

    Hypersonic re-entry · TPS thermochemistry

    Open question: “How does the model handle non-equilibrium air chemistry past Mach 10, where ground-truth is sparse?”

  • Cambridge · Mathematics
    Prof. S. Mehta

    Long-horizon trajectory stability

    Open question: “What loss function gives the cleanest forward-roll past 10⁶ steps without compounding drift?”

  • Cornell · Chemistry
    Prof. A. Halberstadt

    Reaction mechanism + transition state search

    Open question: “Can the model propose a kinetically plausible mechanism that an experienced chemist would have written?”

  • Berkeley · CS
    Prof. D. Liang

    Long-horizon agent evaluation

    Open question: “How do you score a multi-day autonomous engineering run when ground truth is the resulting artefact?”

Partner institutions

The universities working alongside us.

A slice of the academic partners running grants, fellowships or civilisational-scale pilots with Labs today. Each engagement is named and reviewed; the funded briefs are public.

PARTNER INSTITUTIONS · 8 universities · 3 continentsApex LabsMITclimatePrincetonplasmaBerkeleybenchmarkStanfordpandemicCambridgebiosecUCLneuroOxfordfusionETH Zürichmaterialsall engagements published · funded briefs are public · IP follows the institution
swipe horizontally to see the full map →
  • MIT — climate & earth-system pilot
  • Stanford — pandemic preparedness
  • Oxford — fusion energy operating scenarios
  • ETH Zürich — materials discovery
  • Princeton — plasma physics
  • UCL — computational neuroscience
  • Cambridge — biosecurity governance
  • Berkeley — open-benchmark methodology
FAQ

The questions we get most often.

Application eligibility, IP terms, review timelines and the operating principles of the Labs programme. If yours isn't here, send it to labs@apexworldlabs.com — same-day reply where we can.

  • Who is eligible for Labs access?

    Accredited academic groups, non-commercial research institutes, and 501(c)(3) / equivalent non-profits doing work in the civilisational-scale problem classes. Industry researchers should apply via the commercial track.

  • What can I do with the models?

    Research, publication, education, and reproduction of published benchmarks. Commercial use requires a separate licence. Re-distribution of weights is not permitted; re-distribution of derived results is encouraged.

  • Do you take IP in funded work?

    No. The Labs grant agreement explicitly assigns IP to the funded researcher and their institution. We retain a non-exclusive licence to reproduce the published outputs for our own research and educational use.

  • What's the review timeline?

    Two business days to first response. Two weeks for small grants. Four weeks for material funding, which goes to external review.

  • How is the external panel chosen?

    Public call for nominations, two-year terms, conflict-of-interest disclosure published. Members are named on the Trust Center. Funding decisions are theirs to make; we publish the dissents alongside the consensus.

  • What happens if Apex's commercial priorities change?

    Labs programmes run on multi-year commitments. If we need to wind a programme down, we publish six months of notice and complete outstanding obligations. We have never closed a programme to date.

Working on something Labs should fund?

Send a one-page brief to labs@apexworldlabs.com. Decisions in two weeks; partial funding negotiable.