Your environment stays yours
Deploy into customer-controlled cloud, on-premises, hybrid, or mixed infrastructure.
Governed federated AI
Run approved AI on data you can't move.
Daulat lets institutions collaborate across independently controlled data environments—while policy, ownership, approved execution, and verifiable lineage travel with every run.
Operating contract
Boundaries remain real.
Ownership stays independent
Organizations retain authority over data, algorithms, approvals, and participation.
Trust travels with every run
Policy decisions, approved runtime identity, signatures, and lineage bind the workflow.
One governed lifecycle
Control before compute. Evidence after.
The platform treats data, algorithms, runtimes, and models as separate governed assets—not interchangeable files in one orchestration system.
- 01
Declare
Register governed assets, owners, policy labels, versions, and intended use.
- 02
Authorize
Evaluate identity, consent, licensing, custodian approval, and consortium policy.
- 03
Execute
Run platform-approved signed workloads where protected data is controlled.
- 04
Verify
Record outputs, signatures, lineage, policy decisions, logs, and reproducible versions.
Governed separately
- Data
- Algorithms
- Runtimes
- Models
Healthcare first
Collaborate around protected health data without building a new data pool.
Support governed cohort preparation, multi-site model development, and reproducible research collaboration while each participant retains its own data boundary.
- Node-resident datasets with accountable custodians
- Policy-aware collaboration across institutional boundaries
- Approved algorithm and runtime execution close to protected data
- Versioned outputs and lineage for technical review
The journey, end to end
One collaboration, from source data to a signed model.
Governed acquisition, sharing under custodian policy, training inside each participant's own boundary, and a model whose lineage runs back to the data it learned from.
A governed healthcare collaboration, from source data to a signed model
How Daulat carries protected clinical data through governed acquisition, cross-institution sharing, federated training, and a signed model with complete lineage—without the data leaving its custodian.
- Healthcare
- Multi-institution training
- Data stays with its custodian
- Signed model lineage
Acquire → Publish → Authorize → Execute → Verify
See the full journeyOne trust model, distinct constraints
Healthcare is the lead. The boundary problem crosses industries.
Daulat is for collaborations where participants cannot simply surrender data, infrastructure, algorithms, or approval authority to one operator.
Financial services
Collaborate on fraud and financial-crime research without pooling participant transaction data.
Explore the use caseLife sciences + research
Coordinate governed work across cohorts, institutions, algorithms, and research programs.
Explore the use casePublic sector
Run policy-bound analytics across independently governed departments or agencies.
Explore the use caseTrust made inspectable
Controls are part of the execution path.
- Policy before executionIdentity, attributes, approval, intended use, and licenses are evaluated before a run.
- Approved workloadsPlatform-approved signed images establish which runtime may execute.
- Customer-controlled boundariesData stays within the environment governed by its custodian.
- Audit + provenanceDecisions, versions, signatures, output identifiers, and lineage support review.
A good pilot starts with a real boundary
Bring the workflow, participants, and governance constraint.
A first conversation maps the collaboration before defining a pilot:
- Constraint
- What data, IP, or infrastructure cannot move?
- Participants
- Who owns, approves, runs, or consumes the work?
- Controls
- Which policies, execution rules, and evidence are required?