Bank statements parsed, matched to invoices, cleared automatically. 85% to 95%+ match rate in 90 days. Any remittance format, zero templates.
Vision Language Models read any document. Invoices, remittances, credit memos. Extract structured data and trigger downstream automation instantly.
Vision Language Models read any layout (PDF, scan, email, portal export) with >90% accuracy on structured fields.
Every extracted field carries a confidence score. Below threshold, route to review. Above, post automatically.
Cross-validates invoice header, line items, and remittance reference before handing off to the matching engine.
Reference parsing, amount matching, pattern recognition, fuzzy logic, and historical behavior analysis work together to resolve even the most complex payment scenarios.
Extracts invoice numbers, PO references, and customer IDs from free-text payment descriptions.
Handles partial payments, overpayments, rounding differences, and multi-invoice settlements.
Learns each customer's payment habits to predict and resolve ambiguous matches.
Vision Language Models understand invoices, bank statements, and remittance advice across any format. No OCR templates, no regex rules, no manual configuration.
MT940, CAMT.053, BAI2 and proprietary formats processed in real time.
PDF, email, Excel parsed with semantic understanding, not template matching.
SAP, Oracle, or any system via API. Matched payments posted directly. Real-time, not batch.
Every matched payment generates a validated journal entry, checks it against your posting rules, and clears it in your ERP. No manual intervention, full audit trail.
Every entry checked for balance, period, currency, and GL account before posting.
SAP, Oracle, NetSuite, or any system via API. Real-time, not batch.
Unmatched items route to a review queue with full context and AI recommendations.
Three steps. Fully automated. No manual intervention required.
DocSense reads remittance advice, bank statements, and payment emails from any source. Vision Language Models extract structured data with >90% accuracy.
AI applies five layers of matching logic to pair every payment with the right invoices, handling partials and deductions.
Journal entries are auto-generated, validated, and posted to your ERP. Exceptions route to a review queue with full AI context and audit trail.
Purpose-built matching engine using Vision Language Models. No OCR templates, no regex, no brittle rules that break on format changes.
Learn more →Handles EUR, USD, GBP, BRL and 40+ currencies. Consolidation across entities with local-currency precision.
Learn more →Posts to SAP, Oracle, NetSuite, or any system via API. Journal entries generated, validated, and cleared automatically.
Learn more →96% of payments matched and cleared without human touch. Exceptions route to a review queue with full AI context.
Meet Vero →See ClearMatch in action with your own data. First payments matched in days.
With Transformance our Cash App team reduced manual work from 15 hours per day to less than one hour. The AI handles even our most complex multi-currency settlements and remittance formats we thought were impossible to automate.
| Manual cash application | With ClearMatch | |
|---|---|---|
| Straight-through processing | ×Around 40 to 60% typical | ✓Above 90% STP |
| Time per statement | ×30 to 60 minutes | ✓Under 1 minute |
| Match accuracy | ×OCR template gaps + manual fixes | ✓Above 95% match accuracy |
| Format adaptation | ×Templates break on format changes | ✓Zero templates to maintain |
| Cash visibility | ×No visibility until month-end | ✓Real-time cash position |
GDPR Compliant
ISO 27001
End-to-end encryption
Full audit trail
Cash application software matches incoming payments to open invoices automatically, posts the cleared items to your ERP, and flags exceptions for review. It replaces the manual spreadsheet matching that most AR teams still run today.
AI reads the remittance document (PDF, email, EDI, or bank portal download), extracts payment details, matches them to open invoices using a mix of deterministic rules and machine learning, and routes exceptions to a human. Vision language models handle new formats without template training.
ClearMatch runs at 95%+ straight-through processing. Payments move from remittance to posted journal entry in minutes, not hours. Vision language models handle new document formats without template configuration, so accuracy holds even when customer remittance layouts change.
ClearMatch goes live in 2 to 4 weeks for the first matched payments, then 4 to 8 weeks for full rollout (ERP integration, bank feed, remittance ingestion). Weeks, not quarters. No template training. No dedicated admin required.
ClearMatch connects to SAP, Oracle, NetSuite, and Microsoft Dynamics out of the box. Bank statement ingestion supports MT940, CAMT.053, and BAI2 formats. Posting is validated before it touches the ERP.
Yes. ClearMatch uses vision language models that read documents natively. It handles PDFs, scanned images, email bodies, and portal downloads without template configuration. Accuracy is >90% on structured remittance data and 96.6% on complex multi-column tables.
Pricing scales with users, transaction volume, and AI usage. Pilots run on a slice of your AR data so you can measure match rates and time savings before you commit. No upfront template configuration fees.
ClearMatch deploys inside your VPC. Financial data never leaves your cloud boundary. The platform meets ISO 27001 standards, supports SSO/SAML and RBAC, and logs every action for audit.
See ClearMatch in action with your own AR data. First payments matched in days.
