Staple AI
Entrepreneur First '18Singapore, SG · Founded 2018 · 2 known investors
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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.

Investors · 2
Company profile
researched Aug 2026Staple 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 reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 1
launches, deals, and filingsStaple AI appears in Singapore's Infocomm Media Development Authority directory of innovative tech companies, tagged IMDA Spark company, Data Analytics and Artificial Intelligence.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 8
primary sources listed
- Staple AIstaple.ai · web
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.

