01
Research analytics
Give researchers notebooks, data connections, and model assistance inside an approved environment with visible queries and reproducible work.
← Industries
Healthcare and pharma
Make the PHI boundary part of the AI design.
Place Calliope AI Workbench and workloads inside the approved environment, define which models may receive each class of data, and add Zentinelle AI policy and evidence where the workflow requires agent-level control.
Healthcare AI starts with a data-flow decision.
PHI, clinical trial data, research results, and patient records cannot be routed into a model simply because the interface is useful.
Calliope AI gives healthcare and pharma teams a sanctioned environment for code, notebooks, data tools, and agents. The workload location, model endpoint, credential path, access record, and policy surface can be reviewed as one architecture.
A BYOC deployment keeps Workbench and workload data in the customer account. A hosted model provider is still a separate destination. Use a local or in-boundary model when PHI cannot be sent to an external provider.
Controls to decide before the workflow ships:
- Workload boundary · select BYOC, managed, on-premises, or isolated deployment based on the data class
- Model destination · approve external providers by workload or require local inference
- Identity and access · use SSO, RBAC, and workspace access records around the Build environment
- Agent policy · add Zentinelle AI separately for runtime evaluation, enforcement, and evidence
- Contract and evidence · request the current security packet, DPA, subprocessor list, and BAA availability
- Customer obligations · keep architecture, operating controls, model agreements, and HIPAA responsibilities explicit
Use cases
02
Lab workflows
Use agents for analysis, experiment support, and internal automation with deployment and model access matched to the laboratory network.
03
Administrative copilots
Build internal documentation and operations assistants with approved sources, explicit model destinations, and policy checks appropriate to the data involved.
Deployment
Choose the topology from the data class.
Not every healthcare workload needs the same isolation, and not every model is approved for PHI. Start with the actual data flow and assign the deployment, model endpoint, operator access, and evidence requirements from there.
BYOC
Run Workbench and workloads in the customer AWS account while customer IAM, network policy, storage, logging, and region remain in force.
Explore →On-premises
Scope deployment inside a facility or laboratory network when the workload needs a customer-operated local boundary.
Explore →Air-gapped
Use an isolated design and local models when the program cannot permit external model or management connectivity.
Explore →AWS is the supported cloud path today. On-premises and air-gapped environments are scoped with the customer. Calliope AI does not claim that deployment location alone creates HIPAA compliance.
