Use cases
The collaboration matters more than the cloud map.
USE CASES / 02
Daulat is designed for work that crosses independently governed data, infrastructure, policy, and intellectual-property boundaries. Healthcare leads the product story; the same trust model applies where other sectors share the constraint.
01 / PRIMARY
Healthcare
Protected health data stays under institutional control.
- Constraint
- Clinical and research data is sensitive, distributed, operationally difficult to centralize, and governed by accountable custodians.
- Collaborative workflow
- Prepare governed cohorts, share dataset versions through consortium policy, execute multi-site model development, and preserve reproducible lineage.
- Governance mechanism
- Institution identity, custodian approval, intended-use policy, independently governed algorithms, and platform-approved signed runtimes.
- Appropriate outcome
- A technically reviewable collaboration path and versioned result—not a claim of clinical validity or improved patient outcomes.
02 / ADJACENT
Financial services
Investigate shared risk without pooling transaction data.
- Constraint
- Institutions may need a cross-participant view of fraud or financial-crime patterns while retaining separate data ownership and infrastructure.
- Collaborative workflow
- Coordinate approved analytics or federated model development across participant-held transaction datasets.
- Governance mechanism
- Explicit consortium membership, asset licenses, purpose-bound policy, signed runtime identity, and auditable run versions.
- Appropriate outcome
- A governed research or investigation capability that can be technically reviewed without representing regulatory approval or loss reduction.
03 / ADJACENT
Life sciences and research
Coordinate cohorts, methods, and institutions without erasing ownership.
- Constraint
- Research programs span institutions, protected cohorts, proprietary algorithms, approval protocols, and independently operated infrastructure.
- Collaborative workflow
- Publish governed cohort versions, authorize methods, execute approved work near data, and record reproducible outputs.
- Governance mechanism
- Separate custodianship for data and algorithms, version pinning, policy evaluation, runtime signing, and source-to-output lineage.
- Appropriate outcome
- A reproducible collaboration pathway and governed research artifact—not a scientific-performance or discovery claim.
04 / ADJACENT
Public sector
Work across departments while preserving policy boundaries.
- Constraint
- Departments and agencies hold distinct mandates, data classifications, approval chains, and operating environments.
- Collaborative workflow
- Compose approved analytics across independently governed sources without first creating one shared warehouse.
- Governance mechanism
- Attribute-based policy, delegated approval, platform-approved execution, environment boundaries, and reviewable provenance.
- Appropriate outcome
- A policy-bound analytics capability and evidence trail—not an assurance for a specific jurisdiction or program.