Make data trustworthy before your systems act on it.

Staple ingests documents and data from any source, structured or unstructured, in any format or language. It checks the source, extracts and verifies the content, and makes it audit-ready before it enters your systems. That is the first mile of data processing.

Trusted Globally by Fortune 100 Companies

60

Countries with live enterprise deployments

7+

Years processing enterprise documents at scale

10M+

Documents processed annually for Fortune 100 companies and global financial institutions

9x

Higher processing throughput without added headcount

Where enterprises put Staple to work

Invoice processing

Multiple entities, languages, document types, and high volume. Invoices are extracted, verified, and delivered to your AP systems with audit-ready data.

Streamlining operations across the globe

Replace scattered country-specific tools with a single data processing platform spanning regions, languages, and document types.

E-invoice compliance

One platform for every country. Connect to tax authorities worldwide, handle AP and AR in the same flow, and stay ahead of mandates without a new IT project every time regulations change.

Data extraction

When extraction strength is the deciding factor. Complex tables, messy layouts, dot-matrix scans, 300+ languages, accuracy that holds at volume.

We check the document, verify the data and prove the output

Document: Has the document been tampered with?

Before a single field is extracted, Staple checks the container itself. File metadata, pixel-level anomalies, and document forensics catch edits the eye cannot see. Every document gets a tamper confidence score and a supporting evidence trail.

Data: Is the data accurate, verified, and consistent?

Staple processes structured and unstructured inputs at scale across 300+ languages, then verifies the data. AI contextual verification, external validation with tax authorities, internal business rules and anomaly checks, and reconciliation across up to 10 sources, all before data reaches your systems.

Trust: Can every result withstand an audit?

Every field carries its full processing history: what was extracted, how, by whom, and under which rules. Results are cryptographically sealed. Any unauthorized change is immediately visible. This is what makes it audit-ready data.

How Staple turns documents into audit-ready data

Know what you're processing, and whether the source can be trusted, before extracting.

Staple receives files and data from any channel, classifies each document, splits mixed batches, and runs forensic checks on the source itself. Nothing moves downstream until Staple knows what the document is and whether it can be trusted.

Staple structures, enriches, verifies, and reconciles data before delivery.

Staple converts structured and unstructured inputs into clean, verified business information across 300+ languages using context-based extraction. Then every field is checked, validated against external sources, and reconciled before it reaches your systems.

Trust evidence travels with the data, instead of being reconstructed after the fact.

Every result carries its full processing history: what was extracted, how, by whom, and under which rules. Staple seals each field so any change made after extraction is immediately visible. When an auditor asks where a number came from, the answer already lives inside the record.

Most document processing stops at extraction. But that's where the risk starts.

Documents arrive in different formats: PDFs, scans, spreadsheets and photos. Your team processes them, pushes data downstream, and chases errors by hand.

Then an auditor asks where a number came from. A file has been tampered with. A figure doesn't add up. And nobody can trace the source. Because extracted data is not the same as verified data.

The first mile is where data risk starts. Staple stops it at the source.

What our customers say

“Staple AI became another team member for us. The tool processes high invoice volumes with minimal effort, pushes data into our warehouse management system automatically, and significantly reduces errors. It has truly transformed how we handle invoice processing."

Robert Habib

Senior Director, Finance Business Services, foodpanda

"Our company is using another OCR tool that struggles to recognise dot-matrix documents, however, it worked perfectly with Staple at almost 100% accuracy."

Regional IT Manager

Global Luxury Brand

“Feedback from the various teams is tremendous and encouraging. We have already implemented Staple AI for a global telecom giant client.”

Partner

Big 4 Professional Services Firm

“There is a lot of excitement around Staple internally! There are so many potential applications for Staple to deliver automation to the broader group.”

Delivery Lead

Global Bank

"We can find extraction tools from a number of vendors today, but what Staple provides is so much more. You have explainability, audit trails, and liability protection from regulators, to whom we need to demonstrate ongoing compliance year in and year out. This is the elevated protection that Staple provides."

Head of Audit

Major Insurer

Results from enterprises like yours

Global Insurance

A global insurance provider managing £108.9B across 500,000+ customers needed sensitive data redacted and defensible under audit. Staple handled it at scale, across formats and languages, with no templates.

Global Investment Bank

A global investment bank ran document processing across 5+ countries, with teams drowning in non-standardized formats, layouts, and languages. Staple consolidated it onto one platform, no templates to maintain, no rules to rewrite as complexity grew.

Enterprise-grade from day one

SSO, role-based access control, and a full audit trail included. Dedicated country-specific instances for data residency, wherever you operate.

Common questions

What does Staple do?

Staple handles the first mile of data processing. Most enterprise automation focuses on what happens after data is already clean and structured. Staple sits before that: ingesting invoices, contracts, emails, PDFs, spreadsheets, and forms, extracting and verifying the data, and ensuring everything entering your core business systems is accurate, verified, and ready for automation.

What is the first mile of data processing?

The first mile of data processing is the point where documents from the outside world enter an organization. Unlike internal data created inside controlled systems, external documents arrive in formats, languages, and layouts the receiving organization does not control. This is where tampering, falsified data, extraction errors, and unverifiable outputs create the highest downstream risk. Staple processes and verifies documents at this point, before data moves into ERP, accounting, or compliance systems, so what enters downstream is accurate, verified, and audit-ready.

What is the difference between data extraction and data verification?

Data extraction converts document content into structured digital data. Data verification checks whether that data is accurate, consistent, and trustworthy. Most document processing tools stop at extraction. Verification adds AI contextual checks at the line-item level, external validation against tax authorities and business registries, cross-source reconciliation across multiple related documents, and business rules enforcement against your thresholds. Without verification, extracted data can contain errors, falsified figures, or inconsistencies that only surface during an audit. Staple performs both in a single pipeline.