fileAI MCP

Product Introduction

1. The fileAI MCP is an AI-native data preparation platform that transforms unstructured files into structured, LLM-ready data through proprietary multimodal AI components and the Model Context Protocol (MCP). It enables secure, automated processing of documents via AI OCR, classification, and schema-based extraction for integration into agentic workflows.
2. The core value of fileAI MCP lies in its ability to streamline complex data preparation tasks, reducing manual intervention by up to 90% while ensuring enterprise-grade security and accuracy for industries like insurance, finance, and supply chain.

Main Features

1. The platform uses Beethoven OCR and model switching to parse, classify, and extract data from any file type or language with deterministic accuracy, producing structured outputs optimized for AI agents and RAG pipelines.
2. AI schemas and fileAgent tools enable cross-document analysis, contextual enrichment, and real-time data validation, allowing users to query files and integrate external web context for actionable insights.
3. The MCP Server automates end-to-end workflows by orchestrating validated data into decision systems, generating reports, and executing SOP-driven logic to ensure compliance and self-correction over time.

Problems Solved

1. fileAI MCP eliminates manual data entry and error-prone validation processes by automating the extraction, structuring, and verification of data from fragmented or unstructured files like invoices, claims, and shipping manifests.
2. The product targets enterprises in regulated industries such as financial services, insurance, and logistics, where high-volume document processing and compliance are critical.
3. Typical use cases include automating insurance claims processing, reconciling financial records from PDFs and spreadsheets, and validating supply chain documentation across multiple formats and languages.

Unique Advantages

1. Unlike generic OCR tools, fileAI MCP combines deterministic AI behavior with schema-aware reasoning, ensuring structured outputs that integrate directly into autonomous workflows without post-processing.
2. Proprietary innovations like zero-shot classification and multilingual support for 200+ languages enable rapid adaptation to new document types and global use cases without retraining models.
3. Competitive advantages include SOC 2 Type II and ISO 27001 certifications, in-place data processing for security, and prebuilt integrations with over 100 systems for touchless automation at scale.

Frequently Asked Questions (FAQ)

1. How does fileAI ensure data security during processing? fileAI MCP adheres to SOC 2 Type II and ISO 27001 standards, processes data in-place to avoid unnecessary transfers, and offers GDPR-aligned controls for regulated industries.
2. What file types and languages are supported? The platform processes 200+ languages and all major file formats, including PDFs, spreadsheets, emails, and images, using adaptive AI OCR and model switching.
3. Can fileAI integrate with existing ERP or accounting systems? Yes, fileAI provides APIs and 100+ prebuilt import/export integrations for seamless connectivity with tools like SAP, Oracle, and custom RAG pipelines.
4. How does the validation process work? Automated validation uses SOP-driven logic, citation checks, and anomaly detection to flag discrepancies, with built-in memory to refine accuracy over successive iterations.
5. Is there support for industry-specific schemas? Customizable AI schemas allow users to define domain-specific rules for extraction and enrichment, ensuring compatibility with insurance policies, financial reports, and other specialized formats.