fileAI is an AI-native, agent-driven platform that automates every stage of unstructured document processing—from ingestion and intelligent classification, to extraction, enrichment, validation, and seamless export. Serving industries like finance, legal, insurance, supply chain, and healthcare, it's trusted by enterprises including KFC, MSIG Asia, and Nippon Paint. The platform processes over 200 million files annually, delivering up to 82 % faster turnaround times and generating 240 % ROI within months.

• Agentic AI workflow: Deploy AI agents that validate data, cross-reference policies or other documents, and execute multi-step business logic—such as matching an invoice to a purchase order—without manual intervention.
• Zero‑shot schema generation: Automatically identify and extract structured fields from any document type—no templates, training needs, or model tuning required.
• Cross‑file & online enrichment (Coming Soon): Aggregate data from multiple documents and enrich datasets with context pulled from external sources and the web.
• Multilingual & multimodal OCR: Supports printed and handwritten content across over 200 languages and multiple file formats including PDFs, JPEGs, TIFFs, HEIC, CSV, DOCX, and ZIP archives.
• Batch processing & workflow automation: Handle high-volume uploads via API, email, or portal; process thousands of files in parallel and automate full back-office workflows.
• Custom export & integration: Easily export structured data into cloud systems, ERPs, or bespoke platforms via no-code configuration or powerful API.
• Enterprise‑level security & auditability: Encryption in transit and at rest, role-based access control, version history, audit trails, and field-level confidence scoring.
• API-as-infrastructure: A public REST API designed for document ETL, validation, and export in a single call—ideal as a foundation for larger AI-powered systems.

• Industry-leading accuracy & verification: Supports entity recognition, semantic understanding, and sentiment classification to reduce errors and elevate data quality.
• Significant time & cost savings: Achieves up to 82% reduction in document processing time and frees up hundreds of finance hours annually, often yielding millions in savings.
• Built for global scale: Designed to handle millions of pages daily, with schema flexibility, private-cloud deployment options, 99.9% uptime, and dedicated account management.
• Flexible deployment: Equally accessible to business users via UI and developers via API; its zero-shot design supports rapid deployment.

• Premium pricing: The enterprise-grade capabilities come with a higher price tag; smaller teams may find costs steep beyond the free tier.
• Initial configuration overhead: Setting up schemas, export rules, and integrations requires effort to optimize long-term automation benefits.
• Feature-rich interface might be overwhelming: Some users note a learning curve due to the extensive dashboard functionality, although this reflects the robust capabilities of the interface.

• Insurance claims intake: MSIG Asia reported a 60% acceleration in claims processing and a 40% reduction in operating costs within one month of implementation.
• AP/AR automation: Enables the full automation of invoice extraction, general ledger coding, ledger matching, and ERP posting—freeing finance teams to focus on analysis.
• Global supply chain documentation: Nippon Paint reclaimed 10% of staff time by automating goods received notes, bills of lading, and customs paperwork.
• KYC & loan origination: Processes multilingual documents for identity and risk verification in finance sectors, supporting rapid onboarding.
• Legal document review: Extracts clauses, metadata, party information, and expiration dates to streamline due diligence and compliance at scale.
• Healthcare record processing: Automates patient intake forms, prescriptions, and billing documentation under strict HIPAA compliance.
• Academic & research summaries: Pulls key insights, summaries, and citations from research papers, enabling natural-language querying across documents.