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AutomatedData RoomReconciliation.

Stop eyeballing thousands of PDF pages. STET extracts, matches, and flags discrepancies with deterministic precision - in minutes, not late nights.

Designed for Deal Teams. Deterministic-first - no AI fabrication.

1Anchor
2Semantic
3Float
4Redline
stet-match.stream
119
Matched
12
Flagged
93.7%
Confidence

Engineered for deal teams

5-pass deterministic-first matching
Evidence-linked discrepancies
Audit certificate with dataset hash
VDR connector (Box, Dropbox)
±3 business day float matching
Semantic synonym matching
The Problem

Missing millions in manual reconciliation.

Analysts spend countless hours matching PDF statements to Excel ledgers. Errors slip through. Discrepancies go unnoticed. Audits become nightmares. The cost is real: missed entries, compliance risk, and late nights.

Before

PDF Chaos

Excel Mess

Manual Match

The Solution

The Certainty Engine.

STET automates the entire process. Connect your VDR, upload your ledger, and watch discrepancies surface in real time — then export an audit-ready certificate in minutes. Every decision is evidence-linked and reproducible.

After

12,440 Matched

!

73 Flagged

Certificate

Process

How it works

Four steps from data room to audit certificate.

01

Connect

Link your Box or Dropbox VDR and upload your local ledger

Browse and select VDR files directly — no ZIP archives or manual downloads

02

Match

5-pass deterministic matching algorithm

Anchor (exact) → Fuzzy (85%) → Semantic (ML) → Float (±3d) → Redline

03

Triage

Review flagged discrepancies with context

Evidence-linked to source PDF/CSV rows with confidence scores

04

Certify

Export immutable audit certificate

SHA-256 hash + match breakdown + discrepancy types + full audit trail

Capabilities

Everything you need to reconcile.

From data ingestion to audit certificate — built for accuracy, speed, and compliance.

VDR Connect

Connect Box or Dropbox directly. Browse and select VDR files for audit — no ZIP archives or manual downloads.

Box — Q4 Data Room

14 files • Connected

3 PDFs2 CSVs127 rows

5-Pass Deterministic Matching

Anchor (exact) → Fuzzy (85%) → Semantic (ML embeddings) → Float (±3 days) → Redline (flag). Rules first, AI second — zero hallucinations.

1. Anchor2. Fuzzy2.5 Semantic3. Float4. Redline
Pass 1 complete: 9,140 exact matches

Evidence-Linked Triage

Don't just see the error — see the proof. Every flag links directly to the source PDF page and Ledger row.

Missing EntryID: DSC-047

$1,850.00

Consulting Fee - XYZ Partners LLC

⚠ Found in PDF row 47, no match in Ledger

Audit-Ready Export

Generate a SHA-256 hashed certificate of your entire reconciliation. Defensible, reproducible, and compliant.

sha256:a7f3c9b2...

Reproducible • Verifiable

Security & Privacy

No model training on your data. Deterministic logic ensures auditability.

🔒Deterministic-first📍Evidence-linked🔄Reproducible🚫No AI fabrication

Full Audit Trail

CSV export, PDF reports, issue pack, and complete logs for compliance.

CSV ExportPDF ReportIssue PackAudit Log
Bank-Grade Security

Deterministic-First. No AI Fabrication.

Every match decision is evidence-linked and reproducible. Same inputs always produce the same verified output. ML enhances matching but never fabricates results. Accuracy depends on input data quality.

No Data Training

Your data stays yours

Deterministic Logic

Rules before ML

Evidence Linked

Every decision traced

Reproducible

Same inputs = same outputs

Ready to eliminate uncertainty?

Start with our free tier. Upgrade when your deal flow demands it.