Autonomous Processing for All Your Invoices

Enter, classify, match, and approve invoices without manual work or oversight – for all invoices and non-PO spend. Improve efficiency, cost, and control; and focus your team just on exceptions.


Autonomous invoice file extraction for all invoices

Detect multiple PDF attachments on a supplier email and upload all invoice images.

Autonomous parsing of cover letters or multiple invoices in a single file

Recognize multiple invoices embedded in a PDF and split them into separate invoices. Differentiate between cover letter text and actual invoices embedded within a single PDF, and extract the invoice.

Computer vision-driven understanding of supplier logos

Use supplier logos to enhance extraction and validation.

Best in class data extraction without templates

Deliver industry-leading invoice extraction with computer vision and AI that learns formats across customers and suppliers — without using templates.

Autonomous classification to the right spend category, GL code, and cost center

Classify non-PO and services invoices to a deep spend taxonomy, GL chart of accounts, and cost center – the same way every time, ensuring your spend categorization and invoice accounting is accurate and reliable.

Ensure policy compliance for Non-PO invoices

Flag non-PO invoices that should have had a PO per the purchasing policy, and based on spend category, supplier name, and value threshold (e.g., $5,000).

Ensure vendors don’t game your PO approval threshold

Aggregate spend across multiple invoices from the same supplier and compare cumulative spend with PO approval thresholds to flag invoices that require a PO.

Inline audit of all invoices and T&E claims prior to payment

Audit 100% of invoices and T&E claims proactively prior to payment. Flag duplicates across both invoice and T&E claims.

Trusted by industry leaders


The number one pain point that absolutely drives me nuts is the beginning portion of the AP process. We want to leverage the OCR extraction functionality from Oracle, but it doesn’t work 50% of the time.