Data preparation pipeline
fileForge provides a five-step data preparation pipeline that covers classification, extraction, AI schema creation, reasoning, and enrichment for structured outputs.
fileAI turns unstructured files into structured, validated data and automated workflows for enterprise teams.
fileAI is an AI-native data preparation and workflow automation platform for enterprises that need to turn unstructured files into structured, validated data. The site positions fileForge as the foundation platform, with fileLedger for financial operations and fileShield for insurer-focused case management.
The product is built around governed execution: it captures data from many file types, prepares and validates outputs, and orchestrates SOP-driven workflows with auditability. The published pricing page shows a self-serve plan and an enterprise plan, with enterprise options for custom models, custom integrations, and private cloud or on-premise deployment.
fileForge provides a five-step data preparation pipeline that covers classification, extraction, AI schema creation, reasoning, and enrichment for structured outputs.
The platform uses multimodal AI OCR, classification, schemas, and workflow validation to process complex files and prepare them for downstream use.
fileAI applies SOP-driven workflow orchestration so teams can route, match, validate, and execute work across file-based processes.
The platform logs extraction, validation, and transformation steps with citations and timestamps so teams can trace how outputs were produced.
fileAI includes AI Query and configurable matching options for comparing information across files and schemas using natural language or guided setup.
The pricing page states that self-serve plans include document ingestion by email, API, or direct upload, plus unlimited users and workspaces.
Use fileLedger to automate invoice capture, validation, matching, and posting for accounts payable workflows that need ERP-connected output.
Use fileLedger to compare bank statements, ledgers, payment gateways, and sales lists using natural language or guided configuration for reconciliation work.
Use fileShield for case, claim, and contract workflows in insurance and other regulated environments that need structured review and orchestration.
Use fileForge when operations teams need to classify, extract, normalize, and enrich data from large volumes of files before routing work downstream.
Use the platform for business processes that involve diverse file formats, handwritten content, and multi-language documents.
fileAI supports most common document and data file types, including JPEG, PNG, TIF, TIFF, HEIC, HEIF, PDF, CSV, XLSX, XLS, DOC, DOCX, ZIP, and WEBP. The pricing page says the team can also handle other formats on request.
Yes. fileAI says its AI OCR engines recognize printed and handwritten text in more than 200 languages, and the pricing page notes support for handwriting as well.
Yes. The pricing page states that fileAI can extract, process, and understand documents with hundreds of pages.
The pricing page says the Starter plan is billed per page processed. One billable page is counted as either one document page or one sheet.
fileAI says it encrypts files in transit and at rest, uses role-based access with audit logs, and offers private cloud and on-premise deployment options. It also states that its controls satisfy GDPR and are independently audited for SOC 2 Type 2.
Traffic data is for reference only.
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