01
Drug Discovery
Compound screening analysis. ADMET prediction. Target identification.
← Industries
LIFE SCIENCES & BIOTECH
Accelerate Discovery.
Drug discovery. Genomics. Clinical research. Computational biology moves fast — but compliance doesn’t sleep. Get the AI-powered analysis you need with the governance regulators require.
Life sciences data is sensitive. Period.
Patient data. Genomic sequences. Proprietary compounds. Clinical trial results. Your data is valuable, regulated, and a target.
The question-answering machine for your research data.
Real compliance. Real governance. Real productivity gains.
HIPAA-aligned — PHI stays protected: access controls, audit trails, and encryption at rest and in transit, mapped to the HIPAA Security Rule.
Part 11 support — Electronic records with the full audit trails 21 CFR Part 11 expects for FDA-regulated research.
Genomics at scale — Connect to sequencing pipelines, LIMS, and genomic databases. Query anything.
AI multiplier — Turn your bioinformaticians into 10x analysts. Natural language to SQL. Instant insights.
Multi-model flexibility — Use Claude for literature review. Local models for proprietary compound data.
Reproducible research — Same environment, every run. No dependency conflicts. No 'worked on my laptop.'
Computational biology, and the questions you can finally just ask it:
- Sequencing platforms and LIMS systems
- Clinical trial databases
- Literature and patent databases
- Internal compound libraries
- “Show me expression patterns for gene X across all cell lines”
- “Which compounds showed >50% inhibition in the last quarter?”
- “Summarize recent literature on target Y”
Life Sciences Capabilities
02
Genomics & Proteomics
Sequence analysis. Variant calling. Expression profiling.
03
Clinical Research
Trial data analysis. Patient stratification. Outcome prediction.
04
Biomanufacturing
Process optimization. Quality control analytics. Batch analysis.
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Regulatory Submissions
Generate analysis reports. Document findings. Prepare submission packages.
06
Scientific Literature
Literature review. Patent analysis. Competitive intelligence.
Deployment
How it deploys for life sciences.
Your data, your infrastructure, your control. Calliope AI deploys so patient data, genomic sequences and proprietary compounds stay inside the boundary they belong in, with controls that map to the HIPAA Security Rule and the audit trails 21 CFR Part 11 expects. Choose the mode that matches the program.
Dedicated cloud
Single-tenant deployment in your preferred cloud region. The fit for R&D teams that want managed infrastructure inside their own boundary, deployable under a BAA for PHI workloads.
Explore →On-premise
Deploy in your own datacenter for full data sovereignty. The footprint is light enough to run inside a lab VPC or cleanroom network without a major infrastructure lift — sequences and compound libraries never leave.
Explore →Air-gapped
Zero external connectivity for classified or highly sensitive research programs. The fit for proprietary compound data and trial results that can't tolerate any egress path.
Explore →Split the workload when it helps — sensitive data on-prem, general compute in the cloud — and use Claude for literature review while local models handle proprietary compound data. Every query, result and access is logged. AWS today, built to port.
Discovery at the speed of AI.
Calliope AI gives life sciences teams the AI-powered analysis they need while maintaining the governance regulators demand. Query any data source. Build any report. Stay audit-ready.
