Amazon S3
Object storage for scheduled file exchange and archives
Polygrade integrates with Amazon S3 as a data destination, not a claims source. Amazon S3 is the object storage many data architectures use as a landing zone before data is loaded into a warehouse. Polygrade writes claim, parts, and payment events into it for reporting and analytics.
Amazon S3 is the object storage many data architectures use as a landing zone before data is loaded into a warehouse. For Polygrade, Amazon S3 isn’t a claims system to read from, it’s a landing zone Polygrade writes exported files into ahead of warehouse loading. The direction runs the other way from most of Polygrade’s integrations: Polygrade is the source, Amazon S3 is the destination.
What Polygrade writes into Amazon S3
As Polygrade works a claim, intake, triage, authorization, parts sourcing, and payment, it generates a structured record of what happened at every stage. That record is what flows into Amazon S3: structured claim, parts, and payment files staged for downstream processing.
Every one of those events traces back to a real interaction, a homeowner’s SMS thread, a technician’s status update, a supplier’s shipping confirmation, not a manual log entry. That’s what makes the data landing in Amazon S3 usable for analysis rather than another reporting gap to fill by hand.
That includes the metrics Polygrade is built to move: homeowner SMS engagement, truck rolls avoided through triage, parts procurement overspend identified against optimal routing, and cycle time from claim to payment, all landing in Amazon S3 in a form your team can query directly.
How the Amazon S3 connection works
Polygrade writes structured export files into an S3 bucket you control, which your existing pipeline, Fivetran, Airflow, or a custom loader, can then pick up and load into a warehouse.
A Forward Deployed Engineer sets up the export format and schedule against Amazon S3 during deployment, matching whatever structure your existing reporting already expects.
What stays in Amazon S3
Everything else already living in Amazon S3, your other data sources, existing models, and reporting logic, is untouched. Polygrade adds a new, accurate source of claims data; it doesn’t touch what’s already there.
Data handling and security
Data written into Amazon S3 comes from a company-specific Polygrade instance, one client’s claim and financial data are never accessible to another before they reach Amazon S3. Polygrade is SOC 2 compliant, with both Type I and Type II audits complete.
Every underlying recommendation that produced the data landing in Amazon S3 carries a confidence level and the inputs behind it, so the data itself is auditable back to the decision that created it.
Deploying the integration
A dedicated Forward Deployed Engineer configures the export into Amazon S3 to match your schema and cadence, so it plugs into existing dashboards and models rather than requiring new tooling.
Frequently asked questions about Polygrade and Amazon S3
Does Polygrade read claims from Amazon S3?
No. Amazon S3 is a destination for Polygrade’s own claim, parts, and payment data, not a source Polygrade reads a claim record from.
How does Polygrade connect to Amazon S3?
Polygrade writes structured export files into an S3 bucket you control, which your existing pipeline, Fivetran, Airflow, or a custom loader, can then pick up and load into a warehouse.
What kind of data lands in Amazon S3?
Structured claim, parts, and payment files staged for downstream processing, structured and ready to query alongside whatever else already lives in Amazon S3.
