fileAI

fileAI is a cutting-edge AI-native data preparation platform that transforms complex, unstructured files into clean, contextualized, and validated data. Tailored for enterprises across industries, it automates knowledge-heavy data workflows—everything from rapid prototyping to fully autonomous operations. With modern APIs, intuitive no-code tools, and proprietary multimodal AI, fileAI brings industry-leading accuracy to file processing, classification, and enrichment.

• Advanced Data Ingestion: Parses, extracts, classifies, and verifies data from any file type, format, or language, using proprietary multimodal AI for unmatched accuracy.
• AI Schema Enrichment: Enriches files without manual intervention, enabling cross-document analysis and automatic extraction of insights based on user-defined schemas.
• Automated Data Validation: Instantly detects discrepancies, anomalies, and citation errors, automating validation of data against defined rules and references.
• Workflow Orchestration: Build and automate knowledge-heavy workflows using natural language prompts, including report generation, comparison tables, and decision flows.
• Multilingual Processing: Handles over 200 languages and handwriting recognition, making it suitable for global document-intensive operations.
• Security & Compliance: Meets SOC 2 Type II, ISO 27001, and GDPR standards, with options for private cloud and on-premise deployment.

1. Sign up for a free Self-Serve account on the fileAI website or schedule an Enterprise demo.
2. Upload or connect files via direct upload, email forwarding, or API integration—fileAI supports any format and language.
3. Define AI schemas to describe the fields, entities, and relationships you want to extract, or use pre-built templates.
4. Configure automation workflows using natural language instructions to trigger validations, enrichments, and cross-referencing tasks.
5. Process and validate your data; view extracted results, source citations, and anomaly alerts in the dashboard.
6. Export structured data to your preferred tool via out-of-the-box or custom integrations.

fileAI offers a freemium pricing model designed to accommodate both individual users and large enterprises. The Self-Serve tier is free and includes usage-based charges per page processed, while Enterprise plans offer custom pricing with advanced features and SLAs. Note: pricing information below may not be up to date; always check the official fileAI website for the latest details.

• Self-Serve: $0/month. Includes multiple proprietary vLM AI OCR models, up to two AI schemas, support for all file formats and 200+ languages, unlimited import integrations, one export integration, and unlimited users/workspaces. Charges apply per page processed.
• Enterprise: Custom pricing. Builds on Self-Serve and adds custom-trained AI OCR models, unlimited AI schemas, custom export integrations, workflow orchestration, private cloud/on-premise deployment, 99.9% uptime SLA, and a dedicated account manager.

• Web Application: Full-featured, browser-based dashboard for setup, monitoring, and management.
• REST API: Integrate fileAI’s parsing, enrichment, and validation into existing applications and data pipelines.
• Email Ingestion: Forward documents to a dedicated email address to trigger automated processing.
• Direct File Upload: Drag-and-drop or batch upload files directly within the web interface.
• Enterprise Deployment: Available on private cloud or on-premise for organizations with dedicated infrastructure requirements.

• Start with a clear schema design: map out required fields and validation rules before ingestion to improve AI accuracy.
• Use natural language prompts to quickly prototype workflows before locking in complex automations.
• Leverage email ingestion for recurring document types (e.g., daily invoices) to build a hands-free pipeline.
• Pair fileAI’s validation with your downstream systems’ checks to create a multi-layer quality assurance process.
• Monitor usage and page-level charges in the Self-Serve plan to optimize costs for high-volume processing.

• Data engineers looking to accelerate ETL pipelines with AI-driven parsing instead of custom Python scripts.
• Enterprise operations teams who manage thousands of documents daily and need automated, scalable data extraction.
• Insurance and claims professionals who want to reduce manual data entry and improve submission accuracy.
• Financial analysts and accountants seeking to automate reconciliation and reporting from unstructured financial documents.
• Supply chain managers responsible for collecting and standardizing data from diverse import/export paperwork.
• Compliance officers who need reliable, auditable data handling that meets strict regulatory standards.