About

Documents you can trust.

Everyone is racing toward AI‑enabled extraction. Powerful—until you assume it’s always right. Running a non‑deterministic system blindly across a 10k‑document set is a recipe for surprises. SAPR delivers intelligent extraction at scale with a robust, auditable process—because accuracy still matters.

Vision

Be the most reliable, accurate data extraction platform for mission‑critical documents at scale.

We focus where accuracy and timeliness matter: private credit, insurance/ILS, risk & compliance, ESG evidence, and specialty finance.

Thesis

Accuracy isn’t optional in non‑deterministic systems

Modern AI is probabilistic. Treating it as a black‑box oracle across thousands of documents creates silent failure modes that only surface downstream—in models, audits, or decisions. SAPR exists to pair intelligent extraction with verifiable evidence so leaders can trust the numbers they act on.

We optimize for reliability over novelty: evidence on every field, statistical validation where it counts, and places for human judgment to intervene. The result is fast, defensible outputs that hold up under review.

Approach

Evidence over assumption

Every extracted value carries its source context and confidence. Outliers are surfaced proactively instead of discovered after the fact.

Approach

Scale with safeguards

Large batches run concurrently, but always through a pipeline that measures performance and routes edge cases to review.

Approach

Privacy by default

Isolation and governance are built‑in. Data stays within tenant boundaries and never trains shared models without an explicit opt‑in.

Principles

  • Evidence first: every field has provenance and confidence
  • QA by design: stratified sampling with human review
  • Human‑in‑the‑loop where it matters
  • No black boxes: transparent model‑health monitoring
  • Privacy as a default, not a setting
  • Focused domains over “horizontal” breadth

What we’re not

  • A DIY no‑code ETL builder for casual users
  • An analytics platform—we focus on extraction quality
  • A generic horizontal tool—we prioritize a few high‑stakes domains