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Ask any document. Verify every answer.
Find what matters across thousands of pages, with citations.
Mirage understands document structure and reasons through sections to find answers with exact source pages. It works even on files too large for any AI to read at once.
1 query
One question searches every ready file in scope
Page-level
Evidence links make review fast and auditable
Workflow
Three steps from upload to a defensible answer
Start with real files, ask a question, and trace each answer back to the source.
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01 · Ingest
Ingest documents
Drop in PDFs and let background processing extract document structure while you and your team keep moving.
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02 · Index
Build a PageIndex
Mirage maps each document's structure, from sections to subsections, so questions are answered by reasoning through context, not matching keywords.
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03 · Retrieve
Return cited answers
Every answer traces back through the sections it actually used, with page-linked evidence you can validate in seconds.
Why Mirage
Built for everyone that cannot afford “probably right”
01
Works on any document
Structured reports, scanned contracts, manuals without a table of contents. PageIndex adapts to each file instead of requiring a specific format.
02
No size limit
Most AI tools break down when documents get long. PageIndex works section by section, so it stays precise on files no model could process in full.
03
Higher answer precision
PageIndex reasons through headings, sections, and context instead of guessing relevance from keyword matches or vector similarity.
04
Evidence first
Every claim links to exact source pages, so audits and peer reviews take minutes, not hours.
FAQ
Questions teams ask before rollout
How long does setup take?
Most teams upload existing files and ask live questions on day one. There is no upfront schema design or manual tagging required.
How do we trust the answers?
Mirage returns source-linked evidence with each response, so reviewers can inspect original context before sharing or acting.
How is this different from "chat with your PDF" tools?
Most tools split documents into fragments and match them by similarity, which breaks down on long or complex files. Mirage builds a structural map of each document and reasons through it, handling even files too large for any AI model to read at once while keeping answers grounded in exact pages.
Can we pilot before a broader rollout?
Yes. Start with one high-friction workflow, confirm citation quality, then expand to adjacent document-heavy use cases.
Ask once. Verify instantly. Move with confidence.
Keep your current document workflows and add Mirage as the reasoning layer that returns cited, review-ready answers.