Certainty in an
Uncertain World.
Automated reconciliation for investment banking analysts. Deterministic matching + semantic intelligence. Audit-ready.
No hallucinations. Evidence-linked outputs. Reproducible results.
Designed for deal teams
Features
Everything you need to reconcile.
From data ingestion to audit certificate—built for accuracy, speed, and compliance.
Data Room Ingestion
Upload ZIP files with mixed PDFs and CSVs. Auto-classified and aggregated.
dataroom-q4.zip
14.2 MB • Uploaded
Multi-Pass Assay Engine
5-pass algorithm prevents greedy matching and maximizes accuracy.
Discrepancy Triage
Actionable list with evidence links and suggested resolutions.
$1,850.00
Consulting Fee - XYZ Partners LLC
⚠ Found in PDF row 47, no match in Ledger
Audit Certificate
SHA-256 hashed, reproducible reports for sign-off and compliance.
sha256:a7f3c9b2...
Reproducible • Verifiable
Security & Privacy
No model training on your data. Deterministic logic ensures auditability.
Export & Audit Trail
CSV export, PDF reports, issue pack, and complete audit log.
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. Upload your Data Room, watch the assay stream, triage discrepancies, and export an audit-ready certificate—in minutes, not days. Every decision is evidence-linked and reproducible.
After
119 Matched
12 Flagged
Certificate
Process
How it works
Four steps from data room to audit certificate.
Inject
Upload Data Room ZIP with PDFs and CSVs
Automatic file classification and row extraction
Assay
Multi-pass matching algorithm runs
Anchor → Fuzzy → Semantic → Float → Redline
Triage
Review flagged discrepancies
Evidence-linked with candidate matches
Certify
Export audit certificate
SHA-256 hash + thresholds + counts
Deterministic-First. No Hallucinations.
Every match decision is evidence-linked and reproducible. ML enhances accuracy but never fabricates.
No Data Training
Your data stays yours
Deterministic Logic
Rules before ML
Evidence Linked
Every decision traced
Reproducible
Same inputs = same outputs