What it does
Every SIMORGH product runs on the same substrate: governed model serving, data pipelines and identity. Cloud is that substrate, available on your infrastructure or ours.
- 3
- Deployment topologies
- RBAC
- Unified across products
- Audit
- Lineage on every inference
| Sign-in | Single sign-on |
|---|---|
| Hosting | Private · on-premises |
| Models | Local LLM |
| Backups | Daily |
| Audit | Every sign-in logged |
What is included
Model serving
Versioned inference endpoints with evaluation and rollback.
Data pipelines
Batch and streaming ingestion with lineage tracking.
Knowledge layer
Vector and graph stores backing retrieval across products.
Identity & RBAC
One role model spanning every SIMORGH application.
Deployment modes
On-premise, private cloud or hybrid with local ingestion.
Observability
Model, pipeline and application telemetry in one place.
The pipeline, end to end
Each stage is inspectable. Nothing is produced that cannot be traced back to the input that caused it.
Ingestion
Connectors for operational, spatial and document sources.
See it running
A recorded product walkthrough with an engineer narrating each decision the system makes.
| Sign-in | Single sign-on |
|---|---|
| Hosting | Private · on-premises |
| Models | Local LLM |
Where it is deployed
- Utilities
- Manufacturing
- Infrastructure
- Oil & Gas
Deployment runs on SIMORGH Cloud, on your own infrastructure, or as a hybrid with local ingestion and central analytics.
Questions engineers ask first
Products can run on your own Kubernetes footprint. Cloud is the managed path, not a requirement.
Works alongside
SIMORGH KARA
One platform to run a complex, multi-company organisation, a virtual enterprise.
ExploreSIMORGH ERP
From the signed order to the signed service report, one record for every panel you build.
ExploreSIMORGH DESIGN SUITE
From the client’s specification to the EPLAN project, in one traceable flow.
Explore
See Cloud against your own data
Demonstrations are run on a representative sample of your documentation or telemetry, not a canned dataset.