Access & Support

TwinCell is in alpha and accessible through the API and its companion Python package, deeplife. We are onboarding early collaborators through DeepLife's early access program — output scope and prediction throughput may vary by access tier.

Community & academic access

We work closely with the research community and want TwinCell to be easy to try:

• Free trials — evaluate TwinCell on your own data before committing.
• Academic credits — free or discounted quota for non-commercial academic research.
• Workflow collaborations — have a use case the current workflows don't cover? We'd like to hear it and can help shape the API around it.

To request a trial, academic credits, or to discuss a workflow, get in touch below.

Rate limits & quota

Your current usage and remaining quota are displayed on the Overview page of the TwinCell console. Limits depend on your access tier and are reset periodically.

Capabilities & tiers

Capability	Status
Target validation — target efficacy (% of DEGs covered) against an observed state change, plus the supporting causal paths / mechanism	Available
Simulation — predict DEGs from a target + control state	Coming soon

Output scope and prediction throughput vary by access tier. Higher throughput and additional applications are available on request.

Get in touch

To expand your use cases, request more quota, or explore other applications of TwinCell, reach out to the DeepLife team at francesco.grillo@deeplife.co.

You can also open issues directly on the toolkit's repository: github.com/deeplifeai/deeplife/issues.