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
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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.
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2. Extraction Workers
Cloudflare Workers standardize and transform raw payloads into structured entities (invoices, transactions, contacts, etc.) with metadata.
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3. Mapping & Enrichment
Extracted data is mapped to Antei’s internal schema using registry-driven logic. Classification metadata is attached at the field level.
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4. Validation Engine
Each entity is validated for schema completeness, reference links (e.g., contact → transaction), and duplication. Unprocessed records are flagged.
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5. Unprocessed Item Handling
Incomplete or unmatched records are moved to the unprocessed queue. Users can review, complete, or override values through manual intervention.
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6. Structured Storage
Clean, normalized data is written to the system of record with classification and retention rules applied automatically.
Architecture Snapshot
📌 Visual architecture coming soon — this will illustrate how ingestion, workers, and validation modules interact with Xano, Cloudflare, and storage layers.
Key Guarantees
- ✅ All data is encrypted in transit and at rest
- ✅ No external data is written back to source systems
- ✅ Every step is logged and auditable
- ✅ Each entity is tied to an
extracted_id
andpayload_id
for 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 → Audit Trail
- Refer to the Trust Center Overview for platform-wide guarantees