Data Processing Flow
Antei transforms unstructured financial and operational data from external systems into validated, compliance-ready records using a structured and secure processing pipeline. This page outlines how ingestion, extraction, mapping, classification, validation, and storage work together.Overview of the Flow
1. Data Ingestion
Raw data is pulled via integrations (e.g., Stripe, QuickBooks) using scheduled syncs, webhooks, or on-demand jobs. CSV imports are also supported.
2. Extraction Workers
Cloudflare Workers standardize and transform raw payloads into structured entities (invoices, transactions, contacts, etc.) with metadata.
3. Mapping & Enrichment
Extracted data is mapped to Anteiβs internal schema using registry-driven logic. Classification metadata is attached at the field level.
4. Validation Engine
Each entity is validated for schema completeness, reference links (e.g., contact β transaction), and duplication. Unprocessed records are flagged.
5. Unprocessed Item Handling
Incomplete or unmatched records are moved to the unprocessed queue. Users can review, complete, or override values through manual intervention.
Architecture Snapshot
π Visual architecture coming soon β this will illustrate how ingestion, workers, and validation modules interact with Xano, Cloudflare, and storage layers.
Key Guarantees
- β All data is encrypted in transit and at rest
- β No external data is written back to source systems
- β Every step is logged and auditable
- β
Each entity is tied to an
extracted_idandpayload_idfor traceability
Example Record Lifecycle
See Also
Questions?
If you have questions about how Antei processes and secures your data:- Reach out to tech@antei.com
- View logs in Org Settings β Audit Trail
- Refer to the Trust Center Overview for platform-wide guarantees