Run the same investigation again, and know what changed.
Save, rerun and integrate structured investigations into your workflows.
Most analysis is one-off. Decisions are not. Noah allows teams to save investigations, rerun them as conditions change and integrate the output into internal systems.
The result is continuous decision support, not isolated reports.
Seven jobs Saved Reports & API are built for.
Risk, underwriting and research teams use Saved Reports to keep reading — and the API to feed structured outputs into the systems they already run.
What you can do.
- Save any investigation
- Rerun the same analysis on demand
- Track changes in direction and confidence
- Monitor exposures, companies or risks over time
- Export structured outputs
- Integrate results into internal systems
- Automate repeat investigations
Example questions.
- Has this risk changed?
- Is this position improving or deteriorating?
- What is different since last week?
- Should we review this again?
- Has the signal shifted?
The change between two reads — not just the latest position.
Every saved investigation carries its history. Each rerun returns a comparable output and a delta against the previous read — so the change is the data, not just the result.
K&R exposure · UAE
- Increased regional instability signals
- New incident reporting
- Stronger consistency across sources
{
"frame": "saved_report",
"subject": "UAE K&R exposure",
"previous": {
"composite": 66,
"direction": "watchful"
},
"current": {
"composite": 71,
"direction": "deteriorating"
},
"delta": {
"composite_change": 5,
"direction_change": true
}
}Most systems answer once. Noah tracks movement.
Saved Reports turn a single investigation into a continuous signal read.
You are not just seeing a position. You are seeing how that position evolves — every rerun anchored to the same framework, the same lanes and the same audit trail.
Run it. Save it. Rerun it. Compare.
Every rerun uses the same framework and the same lanes — but reads them against the latest signal environment. The result is a measurable trajectory, not a stack of unrelated reports.
How it works.
- 01Run an investigation
- 02Save the result
- 03Rerun on demand or on schedule
- 04Compare outputs over time
- 05Track directional change
Continuous monitoring.
- Exposure monitoring
- Company tracking
- Regulatory watch
- Geopolitical risk tracking
Drop Noah's structured outputs straight into your existing systems.
- Structured JSON responses
- Consistent schema across domains
- Integration into internal tools
- Automation of repeat investigations
- Underwriting systems
- Trading workflows
- Risk dashboards
- Compliance systems
The API ships the same audit-ready bundle as the workspace — same shape, same fields, same traceability.
Exports that travel. Investigations that schedule themselves.
Investigations leave the workspace as machine-readable bundles, PDF reports or scheduled API jobs — depending on what the downstream process needs.
Data packs & exports.
- PDF reports
- Machine-readable data bundles
- Structured outputs for external analysis
Workflow automation.
- Investigations can be scheduled
- Triggered by events or thresholds
- Integrated into pipelines
Built for the desks that run the same question more than once.
From individual saved reports to enterprise-wide automation.
Saved Reports and API access are available across every deployment shape Noah ships — from individual workspaces to private deployments.
Individual saved reports
Save any investigation in your workspace and rerun it on demand with full delta tracking attached.
Team workspaces
Shared saved investigations with consistent decision frameworks across an underwriting, research or risk desk.
API integration
Structured outputs delivered straight into your internal systems — schema-stable, automation-ready.
Private deployment
Audit-ready, behind-the-firewall deployments with full saved-investigation and API capability inside your governance framework.
The first answer matters. The change matters more.
Movement, not just position.
The same investigation, re-run. Composite, direction and drivers compared against the previous read — so monitoring shows what's shifting, not just where the read currently sits.
New drivers since last run.
- Increased supplier stress signals
- New regulatory pressure
- Stronger consistency across sources