Staple AI — Multilingual IDP Platform

Staple AI is a Singapore-based intelligent document processing (IDP) platform that processes up to 50 million documents annually per client at 98% straight-through processing accuracy and 99.999% data extraction accuracy, across 300+ languages. The company has raised $4.18M since 2019 from investors including Wavemaker Ventures and Delivery Hero Ventures, and operates across 58 countries with four data centers in China, Germany, the United States, and Singapore. It competes against established IDP vendors including ABBYY, Rossum, Infrrd, Docsumo, and Tungsten Automation on the basis of zero-template extraction and multilingual breadth.

Google Cloud partnership drives scale

Staple AI's platform runs on Google Cloud infrastructure, combining Cloud Vision API for OCR, Cloud Translation API for multilingual support, and Gemini Flash on Vertex AI for data extraction and summarization. BigQuery and Kubernetes Engine underpin the processing volumes that reach 40 to 50 million documents per year per client.

The Google Cloud case study documents a specific deployment where Staple AI processed over 1 million documents in two days at near-100% accuracy for PII redaction using Gemini Pro and Flash models. This LLM-based approach to document understanding distinguishes Staple AI from template-dependent competitors: rather than configuring extraction rules per document type, the platform uses vision-language model (VLM) inference to interpret document structure at runtime.

The reliance on Google Cloud infrastructure is a deliberate architectural choice, not a constraint. It gives Staple AI access to Google's model releases on Vertex AI without maintaining its own model training pipeline, though it does tie the platform's roadmap to Google's release schedule.

Self-learning architecture without templates

Staple AI's core differentiator is extraction without templates, rules, or coding. The platform automatically classifies documents, extracts structured data including line items and tabular content, and matches up to five documents for cross-document comparison. Documents arrive from Dropbox, Google Drive, email, and WhatsApp, and the system improves accuracy from user feedback over time.

The IMDA Singapore company directory describes the platform as bridging "documents, data and systems with its AI-powered Data Processing solution." In practice, this means the platform handles classification and extraction as a single pipeline rather than requiring separate configuration for each document type, which reduces onboarding time for new document categories.

Unlike UiPath or Microsoft Azure AI Document Intelligence, which require template configuration or model training for new document types, Staple AI's zero-shot approach targets organizations processing high document variety at scale. The tradeoff is that template-based systems can achieve higher precision on narrow, well-defined document types where the structure is fixed.

Cross-border fintech expansion via Baiwang

On March 2, 2026, Staple AI announced a strategic partnership with Baiwang, a Chinese fintech company, to develop cross-border tax compliance and IDP solutions. The partnership includes API integration with Malaysia and Singapore tax administration platforms and targets Chinese enterprises expanding into Southeast Asia.

This signals a deliberate pivot toward regulated compliance use cases, specifically tax and e-invoicing, rather than general document processing. The PEPPOL e-invoicing integration and tax administration API connections indicate Staple AI is building vertical depth in finance and operations automation, where compliance requirements create switching costs and reduce price sensitivity. The Korean OSORI APIM integration MOU signed in November 2025 follows the same pattern: distribution through established regional platforms rather than direct enterprise sales.

Enterprise customer base and global infrastructure

Current named deployments include Delivery Hero, Foodpanda, and ST Engineering, with customers processing several hundred to millions of documents daily. The four-region data center footprint, covering China, Germany, the United States, and Singapore, supports data residency requirements for multinational enterprises operating under GDPR and regional data localization rules.

The platform is available through Microsoft AppSource, providing enterprise procurement access alongside direct API deployment. This dual-channel approach positions Staple AI for both IT-led procurement and finance-team-led adoption.

Industry-specific applications

Staple AI's three primary verticals are manufacturing, financial services, and healthcare. Each uses the same underlying extraction engine but with different downstream integrations and compliance requirements.

In manufacturing, the platform handles invoice processing from suppliers where document formats vary widely. A regional IT manager at a global FMCG brand reported that a previous OCR tool failed on dot-matrix documents, while Staple AI processed them at near-100% accuracy. Dot-matrix output is a known failure mode for template-based OCR systems that rely on clean print quality.

In financial services, the platform processes contracts, invoices, and financial statements through its self-learning system. Direct integrations with Xero and QuickBooks, alongside SAP Concur, connect extraction output to accounting workflows without manual data entry. The PEPPOL integration extends this to e-invoicing compliance across Southeast Asian markets.

In healthcare and insurance, a digital innovation director at a global health and life insurer noted that onboarding new document types is fast using no-code tools and pre-trained models, describing the platform as "robust and user-friendly for efficient data extraction from semi-structured documents." SOC 2 Type II and HIPAA certifications enable deployment in regulated healthcare environments where Hypatos and ABBYY also compete.

Competitive positioning

CB Insights positions Staple AI against Infrrd, ABBYY, Lazarus, Tungsten Automation, Docsumo, and Cogniquest. The competitive frame is a 47-person Singapore startup with $4.18M in funding competing against enterprises with significantly larger engineering and sales organizations.

The differentiation argument rests on three factors: zero-template extraction that reduces deployment time, 300+ language support that exceeds most competitors' coverage, and Google Cloud infrastructure that provides access to frontier model capabilities without proprietary model development costs. Where Turian.ai notes the IDP market has "matured beyond OCR engines and point extractors," Staple AI's Gemini Flash integration positions it in the LLM-based extraction tier rather than the legacy OCR tier.

The Baiwang and OSORI partnerships suggest Staple AI is building market presence through regional platform integrations rather than competing head-on with enterprise sales cycles against ABBYY or UiPath. This is a viable strategy for a company at its funding stage, though it creates dependency on partner distribution channels.

Technical specifications

Resources

• Website
• Microsoft AppSource: Staple AI Platform
• Google Cloud Case Study
• IMDA Singapore Company Profile
• LinkedIn

Company information

Headquarters: Singapore Founded: 2018 Founders: Josh Kettlewell, Ben Stein Employees: 47 Funding: $4.18M from Wavemaker Partners, SAP.iO, Delivery Hero Ventures Operations: 58 countries, four data centers (China, Germany, United States, Singapore)