Biomedical AI for R&D Organisation
Drylab accelerates research cycles and transforms how Biotech and Pharma's R&D teams analyze data, create reproducible workflows, and make decisions.
Trusted by scientists from thousands of research institutions
Deploy into any cloud — or your own metal
One CloudFormation click deploys the full Drylab stack—data, sandboxes, and agents—inside your account. Run LLMs on your GPUs or your preferred provider.
Own your IP
Data, workflows, and know-how never leave your boundary. Drylab and providers don’t train on or retain your inputs or outputs.
Adopt in an afternoon
REST + MCP APIs integrate with existing pipelines. Bring your own keys and models, and access 200+ accelerated tools over HTTP.
Have questions?
We’re happy to chat.
What makes Drylab different from a general Al tool?
Drylab is trained on biological datasets, experimental data, and scientific workflows, so it understands biological concepts and performs multi-modal analysis general models can't. It doesn't just generate code snippets — it plans, writes, and runs analyses in a sandbox with one click, on pipelines that learn from your workflow.
How can I ensure our internal data and IP remain secure?
Data is encrypted in transit and at rest with strict access controls, and can be stored in Vault — secure storage with strong encryption and MFA. For the highest level of security, Drylab deploys on-prem or fully air-gapped, so your data never leaves your machines. Your IP is never used to train any model.
Can we bring our own models and API keys ?
Yes. Drylab is model-agnostic. A unified gateway routes each role to Azure OpenAI, Bedrock-class endpoints, or a self-hosted OpenAI-compatible server (vLLM, Ollama). You bring your own keys, so inference and spend stay in your accounts.
What kinds of datasets can Drylab run?
Multimodal data — genomics, transcriptomics, proteomics, epigenomics, metabolomics, imaging, spatial omics, and clinical/phenotypic data — plus 200+ GPU-accelerated tools across structure prediction, protein & binder design, docking, molecular dynamics, genomics, and single-cell analysis.
Can we add our own data sources?
Yes. The custom platform reasons across internal + external sources mounted to your existing storage — S3, NFS, Lustre, iRODS — and integrates through a programmatic API and MCP so Drylab plugs into the systems you're already building.
