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Staple AI

Entrepreneur First '18

Singapore, SG · Founded 2018 · 2 known investors

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947 people in our graph share verified history with the Staple AI team — schools, employers, funds. One of them is your warm intro.

Vinnie Lauriaunlockedknows Joshua Kettlewell · together at National University of Singapore (overlapped)
knows the team · via National University of Singapore
knows the team · via Octopus
×3knows the team · via Entrepreneur First
×3knows the team · via The University of Sheffield
×2knows the team · via The University of Queensland

Staple is a data processing platform that ingests documents and data from any source, format, or language, then checks for tampering, extracts and verifies content, and produces audit-ready data before it enters enterprise systems. It serves large enterprises such as insurers and banks for use cases including invoice processing, e-invoice compliance, and data extraction across 300+ languages.

Also known as Staple · Staple AI

Founders & leadership

Staple AI was founded in 2018 by Ben Stein and Joshua Kettlewell.

BS
Ben SteininCo-founder · CEO at StapleBen Stein is a finance executive who qualified as a chartered accountant in three countries and also trained as a lawyer. Across roughly 17 years he has worked in technology, financial services, real estate, engineering and infrastructure, advising on major capital investments and business and technology programmes in North America, Europe and Asia.
JKJoshua Kettlewell
Joshua KettlewellinCofounder, CTOJoshua Kettlewell completed a PhD in quantum information at the Singapore University of Technology and Design, researching cryptographic uses of quantum mechanics outside of key distribution. He previously studied theoretical and mathematical physics at the University of Sheffield.

Investors · 2

Company profile

researched Aug 2026

Staple AI operates a document and data processing platform positioned at what the company calls the "first mile" of data processing: the point at which documents and data enter enterprise systems. The platform ingests structured and unstructured inputs from channels such as email, SFTP, portals and APIs, in any format or language, then classifies documents, splits mixed batches and runs forensic checks on the source file itself, producing a tamper confidence score and an evidence trail based on file metadata, pixel-level anomalies and document forensics.

After intake, the platform extracts fields from structured and unstructured documents in more than 300 languages using context-based extraction, including complex tables, irregular layouts and dot-matrix scans. Extracted fields are validated against external references such as tax authorities and business registries as well as customer master data, checked with AI contextual verification, business rules and anomaly detection, and reconciled across up to ten related documents. Outputs carry field-level lineage covering the source document, extraction method, verification steps and approver, and are cryptographically sealed so post-extraction changes become visible. The company states personal data redaction and data residency controls to support GDPR and PDPA.

Delivery components push verified data into enterprise systems, including pre-built modules for SAP ERP, SAP Concur and Yonyou integrations, direct connections to tax authority networks for e-invoicing in 60 countries, no-code configuration, and APIs and agentic integrations for AI applications. Named use cases include invoice processing and accounts payable, e-invoice compliance, consolidation of country-specific document tooling onto a single platform, and general data extraction.

Business model

Staple AI sells its platform to enterprises on subscription plans. The company describes three tiers: a Standard plan starting at $6,000 per year with a three-year minimum commitment, and Premium and Customised plans priced according to volume and requirements. All plans are stated to include data extraction, SAP integration and 300+ language support.

Annual subscription licensing with tiered plans; entry-level Standard pricing is stated at $6,000 per year, while higher tiers are quoted based on document volume and customer requirements.

Traction

Publicly stated figures include over 10 million documents processed annually for Fortune 100 companies and global financial institutions, live enterprise deployments in 60 countries, more than seven years of processing enterprise documents at scale, and a claimed 9x increase in processing throughput without added headcount. Customer examples cited include a Big 4 firm reporting elimination of 450+ employee hours per month from document processing and a global FMCG brand operating 5,600 stores with 99.6% extraction accuracy on Chinese, Korean, Thai and Vietnamese documents. Stated extraction accuracy exceeds 95% on standard digital documents.

Latest developments

Current website messaging centres on a "trust layer" positioning: tamper detection, cross-source reconciliation, cryptographic sealing and global e-invoicing compliance, with APIs and agentic integrations exposed for AI applications. Public GitHub repository activity includes a Gemini-based model tagging and detection project updated in February 2026.

Full profile — market position, technology, go-to-market, geography, risks & controversies

Market position

Staple AI positions itself against document processing tools that stop at extraction, arguing that extracted data is not verified data and that source verification, reconciliation and audit evidence are needed before data reaches downstream systems. It is listed in Singapore's IMDA Innovative Tech Companies Directory under Artificial Intelligence and Data Analytics tags as an IMDA Spark company.

Stated differentiators are pre-extraction tamper and forgery detection with a tamper confidence score, extraction across 300+ languages including difficult layouts and dot-matrix scans, validation against external authorities and reconciliation across up to ten documents, and cryptographically sealed field-level lineage intended to make outputs audit-ready. The company also cites a compliance posture spanning SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR and Peppol, SSO and role-based access control, and a dedicated China instance for data residency.

Technology

The platform combines document forensics (file metadata analysis, pixel-level anomaly detection) for tamper detection, automatic classification and batch splitting, context-based extraction across 300+ languages including table and dot-matrix handling, external validation against tax authorities and business registries, business-rule and anomaly checks, and reconciliation across up to ten related documents. A trust layer attaches per-field processing lineage and cryptographic sealing so subsequent modification is detectable, alongside redaction and data-residency enforcement. Integration is via pre-built SAP ERP and SAP Concur modules, Yonyou, tax authority network connections, no-code configuration, APIs and agentic integrations. The company maintains public GitHub repositories including a landing site, dashboard, API documentation fork, an internal Kubernetes file-storage backend and a Gemini-based model tagging/detection project.

Go-to-market

Direct enterprise sales led by demo requests, with 30-minute sessions run by a document processing specialist in which prospects' own documents are extracted live. Marketing emphasises compliance certifications and enterprise audit scope, and the company references APAC-based specialists handling demos. Distribution is reinforced by pre-built integrations with widely used enterprise systems (SAP, SAP Concur, Yonyou) and tax authority networks.

Large enterprises with high-volume, multi-entity and multilingual document workflows, including Fortune 100 companies, global financial institutions, banks and insurers, professional services firms (a Big 4 firm is cited as a customer), consumer goods retailers and telecom operators. Typical buyers are accounts payable and operations leads, often with IT or procurement involvement.

Geography

The company reports live enterprise deployments in 60 countries and connects to tax authority networks for e-invoicing across 60 countries. It maintains a dedicated China instance for data residency and references APAC-based document processing specialists; customer examples span Chinese, Korean, Thai and Vietnamese language documents.

Risks & controversies

No controversies are reported in the available sources. Performance and customer claims (document volumes, accuracy, throughput, deployment breadth) originate from the company's own website and are not independently verified in the material reviewed. The Standard plan's three-year minimum commitment is a notable commercial term.

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Countries connected for e-invoicing via tax authority networksJan 202660
Countries with live enterprise deploymentsJan 202660
Documents processed annuallyJan 202610,000,000 documents/year
Employee hours per month eliminated at Big 4 firm customerJan 2026450 hours/month
Extraction accuracy (multilingual: Chinese, Korean, Thai, Vietnamese) at global Jan 202699.6%
Extraction accuracy on standard digital documentsJan 2026exceeds 95%
Languages supported for extractionJan 2026300 languages
Maximum documents reconciled per cross-source checkJan 202610 sources
Processing throughput improvementJan 20269 x
Standard plan list priceJan 2026$6K
Years processing enterprise documents at scaleJan 20267 years

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Timeline · 1

launches, deals, and filings
Jan 2026
Listed in IMDA Innovative Tech Companies Directory as an IMDA Spark company

Staple AI appears in Singapore's Infocomm Media Development Authority directory of innovative tech companies, tagged IMDA Spark company, Data Analytics and Artificial Intelligence.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Staple AI do?
Singapore-based document data platform that verifies, extracts and audit-seals enterprise documents before they enter core systems.
Who founded Staple AI?
Staple AI was founded by Ben Stein, Joshua Kettlewell in 2018.
Who are Staple AI's investors?
Staple AI's investors include Entrepreneur First, Expert DOJO.
Where is Staple AI headquartered?
Staple AI is headquartered in Singapore, SG.