- Tool type
- AI enterprise document-understanding platform
- Made for
- Teams preparing enterprise data for AI and analytics
- Runs on
- Enterprise data connectors and structured output
What it does
Iris.ai Axion turns documents and other enterprise data into a structured knowledge layer. It connects to sources such as PDFs, databases, cloud applications and scanned files, then extracts content, divides it into contextual segments and adds metadata. Industry-oriented schemas help organize material such as patents, contracts, financial statements and research documents.
The output can feed analytics, retrieval-augmented generation and other AI applications, including Iris.ai’s Neuralith product. Axion is useful when inconsistent file formats and disconnected repositories make downstream automation unreliable. Plans range from a small one-off extraction to larger deployments, with a demo used to establish the scope. Test the schema and extraction on difficult examples, inspect quality reports and agree on the data connections before moving a full corpus through the system.
What it can do
- Document understanding
- Contextual chunking and indexing
- Metadata extraction
- Industry schemas
- Unified data access
- Structured output for AI systems
Before you choose
- Plan allowances differ by documents, pages and credits.
- Validate extracted structures before using them in downstream decisions.
Listed under
Get started
- Provide representative files and the target data structure.
- Review extraction quality, contextual segments and metadata.
- Agree on integrations, volume and deployment before processing the full corpus.
Plans and prices
Starter covers a one-time extraction of up to ten documents; larger plans add page and credit allowances. Confirm the price and integration scope with Iris.ai.
Iris.ai Axion doesn’t publish prices. You get a quote by contacting sales. See their pricing page ↗
Sources for this overview
Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.
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Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.