Absci vs Latent Labs (2026)

AI Health Index verifiedOctober 12, 2026
Verdict

Absci and Latent Labs both generate antibodies and binders from scratch with AI, and CB Insights lists Latent Labs among Absci's competitors. One develops medicines; the other sells design capacity. Absci uses Origin-1 and lead optimization models with its own wet lab to design antibodies against chosen epitopes, and develops them itself, with ABS-201 in a Phase 1/2a trial for pattern hair loss. Latent Labs, founded by AlphaFold 2 codeveloper Simon Kohl, runs its Latent-X models and the Latent-Y design agent as a web platform: approved researchers get 250 free designs a day and pharmaceutical teams work under partnership agreements. Its technical reports give hit rates target by target, and it states that it does not train on user data. Absci suits a partner that wants candidates carried into development; Latent Labs suits a research team that wants to run de novo design itself.

The case for Absci
  • Its own wet lab tests every design before it advances.
  • A clinical stage antibody, ABS-201.
  • Lead optimization for developability, half life and immunogenicity.
  • A listed company that reports revenue, spending and cash.
The case for Latent Labs
  • A browser platform with 250 free designs a day for approved researchers.
  • An agent, Latent-Y, that can run a whole design campaign.
  • Hit rates published target by target in technical reports.
  • A stated commitment not to train on user data or outputs.

This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Absci and Latent Labs are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded

At a Glance

Plain facts

Fact Absci Latent Labs
Primary category Drug Discovery AI Drug Discovery AI
Founded 2011 Not recorded
Headquarters Vancouver, Washington London, United Kingdom
Website absci.com latentlabs.com
Attribute Matrix

Side by Side

Select any grade to read the note behind it.

Axis
A
Absci
L
Latent Labs
AI Centrality
Autonomy and Oversight Model
Model and Technology Transparency
Model Supply Chain Disclosure
Clinical and Operational Evidence
AI Safety and PHI Stewardship
HIPAA and BAA Posture
Security Certifications and Trust Center
FDA and Regulatory Status
AI Governance and Bias Disclosure
AI Liability and Recourse
EHR and Interoperability Depth
Deployment Model and Data Residency
Commercial Transparency
Setting and Specialty Coverage
Citable Summaries

Each vendor in one paragraph

Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached.

Absci

Absci is a drug creation company: its Origin-1 model designs antibodies de novo, lead optimization models refine them, and its own laboratory tests each design before the best become internal or partnered programs.

Source: AI Health Index, October 2026

Latent Labs

Latent Labs offers de novo protein and antibody design as a web platform, with the Latent-X2 model for nanobodies, scFv fragments and macrocyclic peptides and the Latent-Y agent for whole campaigns, free to approved researchers and licensed to pharmaceutical teams.

Source: AI Health Index, October 2026

FAQ

Questions buyers ask

Can a research team use each directly?

Latent Labs gives approved researchers browser access with a free daily allowance. Absci does not offer platform access; partners work with its scientists on a program. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 12, 2026. No vendor pays for placement.

How is design success reported?

Latent Labs reports hit rates and design counts per target in technical reports posted on arXiv. Absci reports a 66.6 percent success rate for one fine tuned model in a 2026 mAbs paper and interim clinical data for ABS-201. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 12, 2026. No vendor pays for placement.

What happens to a user's data?

Latent Labs states that it does not train on user data or outputs and that researchers keep their sequences. Absci does not state how partner data is kept or whether it trains its models. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 12, 2026. No vendor pays for placement.

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Disclosure

Latent Labs is privately funded, with a $40 million Series A co led by Radical Ventures and Sofinnova Partners; Absci is listed on Nasdaq.