Platform.

TheThe AntiverseAntiverse PlatformPlatform designsdesigns developable,developable, functionalfunctional biologicsbiologics forfor GPCRsGPCRs andand otherother challengingchallenging targets.targets.

TheThe AntiverseAntiverse PlatformPlatform designsdesigns developable,developable, functionalfunctional biologicsbiologics forfor GPCRsGPCRs andand otherother challengingchallenging targets.targets.

TheThe AntiverseAntiverse PlatformPlatform designsdesigns developable,developable, functionalfunctional biologicsbiologics forfor GPCRsGPCRs andand otherother challengingchallenging targets.targets.

Integrated system

TheThe loop.loop.

TheThe loop.loop.

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

ProprietaryProprietary AIAI && MLML EngineEngine

ProprietaryProprietary AIAI && MLML EngineEngine

ProprietaryProprietary AIAI && MLML EngineEngine

Interconnected intelligence layers work in sequence – from target identification to sequence refinement – each informing the text.

DeDe NovoNovo andand DifferentiatedDifferentiated DiscoveryDiscovery

DeDe NovoNovo andand DifferentiatedDifferentiated DiscoveryDiscovery

DeDe NovoNovo andand DifferentiatedDifferentiated DiscoveryDiscovery

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.

Epitope-SpecificEpitope-Specific FunctionalFunctional PredictionPrediction

Epitope-SpecificEpitope-Specific FunctionalFunctional PredictionPrediction

Epitope-SpecificEpitope-Specific FunctionalFunctional PredictionPrediction

We combine biology expertise and purpose-trained AI models to design epitope-specific libraries that are enriched for functional binders - increasing the likelihood of selecting hits with the desired therapeutic function

We combine biology expertise and purpose-trained AI models to design epitope-specific libraries that are enriched for functional binders - increasing the likelihood of selecting hits with the desired therapeutic function

DevelopabilityDevelopability OptimisationOptimisation

DevelopabilityDevelopability OptimisationOptimisation

DevelopabilityDevelopability OptimisationOptimisation

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.

PerpetualPerpetual FlywheelFlywheel RefinementRefinement

PerpetualPerpetual FlywheelFlywheel RefinementRefinement

PerpetualPerpetual FlywheelFlywheel RefinementRefinement

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

FromFrom predictionprediction toto proof.proof.

FromFrom predictionprediction toto proof.proof.

FromFrom predictionprediction toto proof.proof.

Native Membrane Screening

Proprietary human stable cell lines present GPCRs in their native confirmation, the critical difference for accurate and translatable hit discovery.

Native Membrane Screening

Proprietary human stable cell lines present GPCRs in their native confirmation, the critical difference for accurate and translatable hit discovery.

Functional Validation

Cell based functional assays confirm agonist, antagonist, or modulator activity, demonstrating therapeutic biological effect.

Functional Validation

Cell based functional assays confirm agonist, antagonist, or modulator activity, demonstrating therapeutic biological effect.

Successful Binder Discovery

Rapid discovery of binding sequences - even for the smallest and most hidden epitopes - with quantitative affinity data, triaging candidates with speed and precision.

Successful Binder Discovery

Rapid discovery of binding sequences - even for the smallest and most hidden epitopes - with quantitative affinity data, triaging candidates with speed and precision.

Integrated Workflow

Wet lab outputs feed directly back into Al models, creating a closed-loop system that accelerates every subsequent design cycle.

Integrated Workflow

Wet lab outputs feed directly back into Al models, creating a closed-loop system that accelerates every subsequent design cycle.

Download the white paper on our proprietary stable cell lines for GPCRs and ion channels.

Industry-leadingIndustry-leading functionalfunctional hithit discoverydiscovery

Industry-leadingIndustry-leading functionalfunctional hithit discoverydiscovery

>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

PUBLICATIONS

Our published research on antibody design
and discovery.

Article

1/20/26

Advances in Therapeutic Antibody Discovery and Development Targeting G Protein-Coupled Receptors

Poster

10/8/25

PEGS Poster (2025)

Article

3/28/26

Confidence scoring for deep learning-predicted antibody–antigen complexes: AntiConf as a precision-driven metric

Better biologics for the toughest targets.

©2026 Antiverse. All rights reserved.

Better biologics for the toughest targets.

©2026 Antiverse. All rights reserved.

Better biologics for the toughest targets.

©2026 Antiverse. All rights reserved.