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Reducto
The agentic document platform for leading AI teams
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0.8MB · 10,707px tall · uses reductosans, Inter, reductoSerif
Industry
AI Infrastructure, Data, Devtools
Style
Minimal, Editorial
Stage
Series B
Built with
Next.js
About the site
Reducto is an agentic document platform that turns complex PDFs, scans, spreadsheets, and tables into structured, citation-ready data. The site makes that infrastructure feel calm and editorial: a centered serif hero, precise purple accents, and quiet rule lines lead into interactive diagrams of documents moving through the platform. A polished reference for AI infrastructure without dense dashboards or dark gradients.
How this page sells
For AI teams whose pipelines break on messy documents: calm design, a new-model launch and a five-billion-page track record.
Primary navigation
- Product
- Industries
- Customers
- Resources
- Pricing
ClickTap a section to see it on the page
A lilac bar ('Introducing r-1: Reducto's new SOTA document parsing model') over 'Turn documents into data.' with 'data.' in purple monospace, 'for leading AI teams who demand enterprise performance at scale', and one Try for free button.
Why it converts: The serif-to-code contrast in the headline shows the transformation it sells, and a single button keeps the first move self-serve.
A 'What's new' card with the founders on video: r-1 is 'our most capable parsing model yet, replacing complex, multi-tool pipelines with a single model for just 1¢ per page', with Try for free and Book a demo.
Why it converts: A price per page next to 'replacing multi-tool pipelines' gives an engineer both the technical and the cost reason to switch in one sentence.
'A toolbox of flexible APIs for all your needs', a copyable 'pip install reductoai' with Python and Node tabs, then Parse, Extract, Split and Edit as separate capabilities with a document preview.
Why it converts: Showing the install command before any feature detail tells developers they can test on their own documents within minutes.
Industry tabs (Finance, Healthcare, Insurance, Legal, Try your own) over a finance example parsing revenue tables, with a quote from a top-five global hedge fund: 'It's probably the only AI product that has actually worked for us.'
Why it converts: A hedge fund saying 'the only AI product that actually worked' speaks to the reader's own history of failed tools, the exact frustration that sends them looking.
A layered 'Aa' disc illustration with three notes: see the whole document, reason through complex structure, and produce 'structured, grounded output' with granular citations.
Why it converts: Combining OCR with vision language models is the technical reason accuracy is higher, and citations answer the AI-output trust question.
'Over 5,000,000,000 pages processed' set huge in serif inside a scatter of coloured pixels.
Why it converts: A five-billion-page track record reassures buyers that edge cases have already been seen and fixed on someone else's documents.
A feature grid: layout extraction, file types (PDFs, images, spreadsheets, slides), 100+ languages, LLM-optimised chunking, image support for faxes and handwriting, and graph extraction.
Why it converts: Each tile answers a 'but can it handle…' question an engineer has from past failures, like handwritten forms or mixed-language documents.
A dark band: 99.9%+ uptime, SOC 2 and HIPAA compliance, forward-deployed support with SLAs, and deployment in your own environment, above logos for Scale, Vanta, Harvey, Medallion and Toast.
Why it converts: Self-hosting and HIPAA unlock regulated buyers, and Vanta, a compliance company, as a customer is a pointed trust signal.
'Questions, answered.' (trials, free credits, handwriting, HIPAA, MCP), then 'Make your first API call in minutes.' with Try for free and Request a demo over a giant 'reducto' wordmark.
Why it converts: Free credits and a pay-as-you-go tier let an engineer prove value before involving procurement, and 'in minutes' sets a low bar for the first step.
