Akashic 1.0
Akashic 1.0.Generally available 1 November 2026.
Every module on one governed foundation, with the same access control, lineage and audit under each one.
[01] Generally available
Seven modules.One governed foundation.
Every module reads the same entities, definitions and permissions as the rest.
Data Pipelines. Three sources join into one governed table. Nothing rejected. See it with your own data
- 01Data PipelinesIngest and validate every source
- Ready-made connectors
- Streaming · batch · CDC
- PDF, email & OCR intake
- Schema validation
- 02Master DataResolve every entity to one golden record
- Exact + fuzzy matching
- Survivorship rules
- Steward review queue
- Hierarchy management
- 03Data WarehouseModel data and define metrics once
- Dimensional models
- Governed metric layer
- Your warehouse or ours
- Sub-second queries
- 04Machine LearningTrain, deploy and monitor models
- Notebooks & experiments
- Feature store
- Staged deployment
- Drift & bias monitoring
- 05Ask AkashicAnswer questions in plain language
- Text to SQL · cited
- Bring your own model
- PII masking
- Prompt audit log
- 06Business IntelligenceServe metrics to every surface
- AI-built charts
- Dashboards & alerts
- Row-level security
- Embedded analytics
- 07GovernancePermissions, lineage and audit under every module
- Row and column access
- Column-level lineage
- Append-only audit log
- PII classification
[02] In preview
Agents, with design partners.The groundwork they need, already live.
Agents work on the governed foundation and stop for a person's approval. The access control, lineage and audit around them ship in 1.0.
Pipeline agentsPreview
Help build and monitor data pipelines.
Matching agentsPreview
Suggest entity matches for data stewards to approve.
[03] Where it runs
Three footprints.The same platform in each.
The modules, governance and answers are the same in all three.
[01]
Multi-tenant SaaS
Operated by DHIRA on AWS, isolated at the data, storage, identity and network levels.
[02]
Your private cloud
Deployed in your own AWS, Azure or GCP account, for data residency and control.
[03]
On-premise
Installed in your data centre on Docker and Kubernetes.
Start
Start with one use case.Grow on the same foundation.
Bring the question that matters most, on your own data. Move up a plan as use grows, with no data migration and no metrics to redefine.