Deploy predictive intelligence as controlled infrastructure.
Run Noah within your environment, with governance, auditability and full control over data and workflows.
For regulated teams, predictive intelligence must be controlled, auditable and integrated into existing systems. Noah can be deployed as a managed service, private environment or fully controlled internal system. The same signal and analytical capability can operate inside your governance framework, not outside it.
Three deployment shapes. Same engine. Same audit trail.
Pick the level of isolation and control your environment requires. Every option produces the same structured, auditable outputs.
Hosted SaaS
Managed environment with fast deployment and secure access controls.
- Managed environment
- Fast deployment
- Secure access controls
- Same audit-ready output shape as private deployments
Private Cloud
Dedicated tenant with controlled data environment and custom configuration.
- Dedicated tenant
- Controlled data environment
- Custom workflows and configuration
- Compliance- and audit-ready by default
Behind the Firewall
Fully isolated deployment on customer-approved infrastructure.
- Fully isolated deployment
- Customer-approved infrastructure
- Integration with internal systems
- Maximum control and security
Built for environments where access, data and outputs must be controlled.
Role-based access, audit logs, dedicated environments and customer-approved data ingestion — all configurable to your governance framework.
Control & governance.
- Role-based access by team, data type and action
- Audit logs: who accessed what, when and from where
- Report tracking and investigation history
- Controlled workflow execution
- Optional approval layers for sensitive outputs
Data control & isolation.
- Dedicated environments per client
- Customer-approved data sources where required
- Separation from other client environments
- Controlled ingestion of internal datasets
Drops into the systems and workflows you already run.
API access, structured exports and configurable workflows mean Noah operates inside your existing process — not alongside it.
Integration.
- API access for internal systems
- Integration into underwriting, research or risk workflows
- Exportable structured data bundles
- PDF and report outputs for compliance and review
- Custom connectors where required
Workflow configuration.
- Premade workflows for risk, markets and policy
- Custom frameworks aligned to internal processes
- Save and rerun investigations
- Support for bespoke analytical methods
Every investigation produces the same auditable shape.
Whether the deployment is hosted, private or behind the firewall, the output is structured, traceable and ready for independent review.
What's produced
- Structured output
- Evidence references
- Confidence and direction
- Audit identifier
- Machine-readable data bundle
What this allows
- Independent verification
- Compliance review
- Internal validation
{
"investigation": "<subject>",
"decision": {
"posture": "<structured>",
"composite": 0–100,
"direction": "<direction>"
},
"confidence": "<directional>",
"evidence_count": n,
"audit_id": "<identifier>"
}No black box. No hidden logic.
Noah operates as a structured analytical system. The method is defined. The signal is measurable. The output is auditable.
- The method is defined — every investigation runs the same shape
- The signal is measurable — every read points to its evidence
- The output is auditable — every bundle can be re-opened and rerun
This allows teams to trust the result and understand how it was produced.
Built for the institutions that need control as much as capability.
Test it inside a real workflow before committing.
A structured 6-month evaluation that proves the value against your existing processes.
Six months. Structured. Reviewed.
A defined evaluation against your real use-cases — configured, validated and reviewed alongside the team that will use it.
- 6-month structured evaluation
- Workflow configuration to your processes
- Real use-case testing
- Regular review cadence
- Output validation against existing processes
- Clear path from pilot to deployment
Configure deeper as the deployment matures.
Expand from a private tenant into a fully internal deployment with custom data feeds and proprietary integrations.
Available options.
- Dedicated private cloud
- Fully internal deployment
- Custom data feeds
- Integration with proprietary datasets
- Extended workflow configuration
You are not buying software seats.
You are deploying:
- Predictive analytics capacity.
- Structured signal intelligence.
- Repeatable analytical workflows.
- Auditable decision support.
Intelligence is only valuable if it can be trusted, controlled and verified.