DOCUMENT EXTRACTION PLATFORM

Trusted data from high-stakes documents.

Results in hours, not days. Accuracy you can prove. Privacy by design.

Validated accuracy
99%+
Batch throughput
8k+ pages/hr
Privacy
100%

Accuracy you can prove

Every value comes with a confidence score and a source reference.

  • Statistical QA for every batch
  • Anomaly queue for quick review
Details → Accuracy

Throughput that keeps deadlines

Large batches complete in hours — even at peak load.

  • Massively parallel processing and surge lanes
  • SLA-backed capacity for critical timelines
Details → Speed

Privacy by design

Isolated tenant environments.

  • Dedicated database, storage, and compute
  • Region pinning for data sovereignty
Details → Privacy

Use cases

Where teams use SAPR

Built for workflows where mistakes cost money and delays hurt.

  • Private Credit (covenants & compliance certs)
  • Insurance / ILS parameter extraction
  • Risk & Compliance documentation
  • Specialty finance data extraction
  • ESG evidence gathering
View all use cases

CUSTOMER RESULTS

"Dropping manual uploads for SAPR cut our diligence cycle by 70% and eliminated re-key errors. Risk finally gets the proof they need."
Partner, Private Credit fund
Docs processed
200k+
Faster onboarding
Backlog cleared
4 days
Data protected
$100M+

Why SAPR vs. other approaches

Evaluate vendors on what actually matters for high-stakes work: accuracy, provenance, speed, privacy, and auditability.

Criteria SAPR Generic IDP or LLM Manual Review
Accuracy Validated accuracy with CI and anomaly review Inconsistent; hard to verify High, but slow and expensive
Provenance Field-level source references and audit report Limited or none Possible, but manual to maintain
Throughput 8k+ pages/hr with surge capacity Varies; often interactive-optimized Constrained by human hours
Privacy Per-tenant data isolation Shared services; unclear data paths Good, but slow and costly
Auditability Immutable logs plus downloadable report Minimal Manual artifacts; hard to standardize

Turn your document backlog into trusted data.

Share a sample set, see validated outputs, and scope a 20-minute rollout plan.