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In Q3 2025, fileAI opened its platform to the public and shipped three core capabilities: AI schemas, which auto-classify files and generate editable extraction schemas you can enrich with natural language prompts and internet search; AI Validation, which anchors every extracted value to its source with a citation and the reasoning behind it; and developer access through the fileAI API and an MCP server that embeds fileAI directly into AI agents.

In Q3 2025, fileAI opened its platform to the public and shipped three core capabilities: AI schemas, which auto-classify files and generate editable extraction schemas you can enrich with natural language prompts and internet search; AI Validation, which anchors every extracted value to its source with a citation and the reasoning behind it; and developer access through the fileAI API and an MCP server that embeds fileAI directly into AI agents.

We’ve been busy launching fileAI’s public platform this quarter, bringing enterprise-grade AI automation to everyone. In Q3 2025, fileAI shipped three major updates: AI schemas, AI Validation with citations, and developer access through a new API and MCP server. Together, they give you the building blocks for faster, more reliable workflows (and we’re just getting started). Read on for a few key updates to get you up to speed.

What are AI schemas in fileAI?

fileAI AI schema editor adding an internet search field, Currency Conversion Rate, to a Layers Co. invoice

AI schemas turn messy files into clean, ready-to-use data without manual configuration. fileAI auto-classifies each file and generates a schema you can edit and enrich using natural language prompts. Add new fields via internet search, set guardrails to keep extracted data consistent, or format fields to fit your needs. Flexible and easy to use, AI schemas put you in control of your data.

Learn more in the AI schemas documentation.

How does fileAI show where extracted data comes from?

fileAI AI Validation panel flagging a missing PO number on an invoice, with the reasoning and source citation shown next to the extracted fields

Now you can see exactly where extracted values come from. With our new AI Validation component, fileAI anchors every result to its original source, displaying both the citation and the reasoning behind it. This makes it easy for your team to verify critical information, reduce manual checks, and build trust in AI outputs.

Learn more in the citations and validations documentation.

How can developers build with fileAI?

fileAI MCP connecting receipts, sales summaries and claims in multiple languages to verified, structured documents

We’ve launched two major ways for developers to build with fileAI. Our new API lets you programmatically access document processing and validation, while the fileAI MCP (Model Context Protocol) server makes it possible to embed fileAI directly into your AI agents. Together, these tools give you flexible, secure access to fileAI wherever you’re building.

Get started with the fileAI API documentation or the fileAI MCP documentation.

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今すぐはじめる

実行するほど、組織の記憶が育つ

実行するほど、組織の記憶が育つ

今すぐはじめる

実行するほど、組織の記憶が育つ

Building the foundation for agentic AI

Building the foundation for agentic AI

Building the foundation for agentic AI