Platform.
Integrated system
1
Generative AI design
Antibody and nanobody sequences generated de novo from target sequence alone — no existing ligand, binder, or prior campaign data required. This lets us work on targets other platforms can't approach.
4
Functional validation
Confirmed binders are run through functional assays against the disease-relevant receptor. Results feed directly back into the generative model, so the next design cycle starts smarter than the last.
2
High-density receptor screening
Candidates are panned against the target receptor expressed in engineered cell lines, presenting it in its native membrane environment rather than as a purified, detergent-solubilised proxy — the format GPCRs typically require to fold and behave correctly.
3
Multiparametric developability triage
Binders are clustered by epitope and by developability properties simultaneously, so a partner receives a diverse, developable panel. Diversity here hedges against later-stage developability issues.
100B Ab-ag interactions probed
10x faster molecular dynamics simulations (vs human)
2000x greater hit rate vs naive library
100 million sequencing outputs
The Platform

Computational Models
Interconnected intelligence layers work in sequence – from target identification to sequence refinement – each informing the text.
We employ sequence-based design and structure-based design - alongside AI-guided molecular dynamics - to identify high-potential binders for challenging GPCRs and transmembrane targets - including those with no known binders.
Our ML models build in and filter for optimal therapeutic characteristics - safety, stability, cross-reactivity, etc. - from the first iteration, accelerating the path to the clinic.
Self-improving internal loop continuously refines our AI and ML models with GPCR, generating better predictions at each turn - driving our proprietary data moat.
Read the peer-reviewed publication on biologics for GPCRs and the Antiverse Platform.
In-House Wet Lab
Download the white paper on our proprietary stable cell lines for GPCRs and ion channels.
>60% hit rate for a Class A GPCR achieved by the Antiverse platform, by designing an optimized epitope-specific library and screening in an Antiverse-engineered stable cell line

>100 functional AGONISTS for a Class A GPCR confirmed by the Antiverse platform

