Accelerating the best candidate
Opsin brings your assays, predictions and rounds into one workspace, learns from every result, and drafts the experiment that moves your best candidate forward.
Incubated and supported by
Every round in one workspace
Octopus learns from every result, ranks the next designs to make and packages the batch for the lab.
One platform, adapted to your molecule
AI agents combine modality-specific models, biological evidence and your experimental results to guide candidate optimization and plan what to test next.
Small molecules
Identify what limits your chemical series and which changes to test next.
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Peptides
Guide sequence and chemistry changes for stability without losing activity.
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Protein degraders
Optimize for selective target degradation, not just stronger binding.
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ADCs
Learn from each round which linker–payload designs to test next.
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Deployed in your environment, on your terms
Your data and your outputs stay yours
- Customer ownership: You own the data you bring and every output produced from it.
- No shared-model training: Never used to train shared models or another customer’s models without your written consent.
- Retention and deletion: Defined retention, deletion on request, and tested recovery.
Isolation and control at every layer
- Encryption: In transit and at rest.
- Tenant segregation: Each customer's environment is isolated from every other.
- Access control: Role-based permissions with multi-factor authentication.
Every result traceable to what produced it
- Versioning: Models, datasets and runs are versioned together.
- Scientific provenance: Every value marked measured, predicted, derived or literature-supported.
- Audit trail: Decisions stay attributable, reversible and exportable.
Configured around the programme, not the other way round
- Cloud or your own infrastructure: Managed cloud, dedicated environments or private deployment.
- Data and model integration: Ingestion, internal models and custom endpoints configured with your team.
- Scientific onboarding: Programme configuration, training and dedicated reviews.
Customer ownership
No shared-model training
Retention and deletion
Access control
Tenant segregation
Encryption
Versioning
Scientific provenance
- Measured
- Predicted
- Derived
- Literature
Audit trail
Cloud or your own infrastructure
Data and model integration
Scientific onboarding