- amount 1,234.00 EUR
- date 2026-05-19
- vendor acme co.
- doc_id inv_482
Document processing with zero retention by design.
Sensitive documents come in, get processed, and disappear — no storage, no reuse, no residual data. Engineered for healthcare, financial and regulated workloads where deletion is a compliance requirement.
Powering document extraction for teams at



Why document retention exists by default.
Most production pipelines retain documents intentionally — to support compliance, audit and continuous accuracy improvement. Retention is the baseline; zero retention is an additional layer engineered on top.
- inv_482.pdf InvoiceMay 12
- statement_a.pdf Bank stmtMay 12
- payslip_q3.pdf PayslipMay 11
- receipt_22.jpg ReceiptMay 11
- bundle_19.pdf Multi-docMay 10
- Improve extraction accuracy
Real documents continuously fine-tune the model, lifting precision and recall over time.
- Support audit and reference
Short-term storage enables traceability, dispute resolution and internal review.
- Backward debugging
Engineers can replay past documents to root-cause errors and re-process at no extra cost.
When zero retention is required.
Some workflows can't keep any trace of the underlying document. For those teams, zero retention is not a feature — it's a compliance requirement.
-
Healthcare and clinical data
Medical records containing PHI must be processed without persistence under HIPAA and equivalent frameworks.
-
Personally identifiable information
Names, addresses, government IDs and similar PII often demand strict erasure guarantees under GDPR.
-
Critical intellectual property
Proprietary documents, contracts and confidential filings need to leave no residual copy after processing.
-
Highly regulated environments
Banking, insurance, defense and government workflows where data residency and deletion are non-negotiable.
How zero retention processing works.
A deterministic, four-stage flow. Each document is processed, extracted and erased within a single bounded lifecycle — measured in seconds, never days.
- Step 01
Secure ingestion
Documents arrive over TLS into an isolated processing chamber with no disk persistence.
- Step 02
Extract defined fields
Only the explicitly approved fields are extracted. Everything else is discarded in-flight.
- Step 03
Optional training sample
If you explicitly opt in, an anonymised sample is retained for model improvement — otherwise skipped.
- Step 04
Hard delete
Documents and extracted artifacts are cryptographically erased after delivery — no residual trace.
How zero retention changes optimization.
Removing retention also removes the levers we normally use to improve. We configure zero retention internally and evaluate it against your specific scale — the tradeoff is intentional and explicit.
Zero retention processing is configured internally and evaluated based on document processing scale.
-
No historical analysis
Past documents can't be revisited for trend or batch-level analysis once deleted.
-
No backward debugging
Errors must be reproduced live — there's no replay against historical inputs.
-
Limited model fine-tuning
We can't tune the model on your real production data; accuracy improvements rely on broader datasets.