Bring your data into the same signal environment.
Ingest, structure and analyse your sources alongside Noah's global signal archive.
Integrate portfolio company data and internal reporting into the same signal environment.
Noah operates on a large, continuously updated archive of structured public signal. But many organisations also have internal data, proprietary sources or specialist feeds that matter to their decisions.
Custom Data Feeds allow those sources to be ingested, structured and analysed within the same system, so internal and external signal can be measured together.
Six jobs Custom Data Feeds are built for.
Enterprise teams use Custom Data Feeds to extend Noah beyond the public archive — and run analysis on the combined signal environment.
What you can do.
- Ingest internal or proprietary data sources
- Add specialist or niche external feeds
- Combine internal data with global public signal
- Analyse all sources within the same framework
- Maintain control over sensitive inputs
- Rerun investigations using enriched signal
Example questions.
- What does our internal data say compared to the outside world?
- Are we seeing something others are not?
- Does our signal confirm or contradict public signal?
- What changes when we include internal data?
- Where do we have an information advantage?
A combined read — public and internal, measured together.
Every Custom Data Feed investigation returns a structured position with the evidence split visible: how much came from the public archive, how much from your sources, and where they confirm or diverge.
Supply chain risk · internal + public signal
- Internal operational delays not visible in public reporting
- External disruption signals aligning with internal stress
- Increased consistency between internal and external indicators
{
"frame": "custom_data_feed",
"subject": "supply_chain_risk",
"decision": {
"posture": "watch_elevated",
"composite": 69,
"direction": "deteriorating"
},
"confidence": "high",
"evidence": {
"public": 16,
"internal": 8
}
}Most systems separate internal and external data. Noah measures them together.
Public signal shows what the world is seeing. Internal data shows what you are experiencing. Combining both is where decision confidence comes from:
- Earlier detection — internal signal often moves first
- Stronger confirmation — when both align, the read is decision-grade
- Better decision confidence — divergence is itself a signal worth measuring
Ingest. Structure. Combine. Analyse.
Custom Data Feeds are pulled into the same signal pipeline as the public archive — classified, timestamped and ready for investigation.
How it works.
- 01Ingest the data into the system
- 02Structure into Noah's signal format
- 03Classify alongside existing data
- 04Incorporate into workflows
Supported data types.
- Internal reports
- Operational data
- Proprietary datasets
- Partner feeds
- Specialist industry sources
Three streams. One investigation.
- Where the data aligns.
- Where it diverges.
- Where advantage exists.
Noah names which is which — and treats the gap as part of the position.
Your data stays yours. The advantage compounds.
Custom data feeds operate inside controlled environments — and the longer they run, the sharper the signal becomes.
Data control & security.
- Client data remains within controlled environments
- Access is governed by roles and permissions
- Data can be isolated by team or project
- Integration respects internal policies
Continuous use.
- Enriched investigations
- Ongoing monitoring of internal vs external
- Improved accuracy over time
- Deeper insight into internal conditions
Built for teams whose data already does work.
Where Custom Data Feeds typically deploy.
Custom Data Feeds operate inside structured enterprise environments where data control, integration and governance are already in place.
Private environments
Custom data ingested into a dedicated tenant where it stays separated from any other client environment.
Enterprise deployments
Full deployment shape — including custom feeds — operating inside the client's governance and audit framework.
Integrated systems
Internal data fed through API or pipeline into the Noah signal environment, alongside the public archive.
Behind the firewall
Audit-ready, behind-the-firewall deployments where both signal and method must stay internal — and internal data never leaves.
Your data becomes more valuable when it is measured against the world.