
Reducto turns unstructured documents—like PDFs, images, and spreadsheets—into clean, structured data ready for any workflow. Our multi-pass parsing system combines OCR and vision-language models to…

Reducto turns unstructured documents—like PDFs, images, and spreadsheets—into clean, structured data ready for any workflow. Our multi-pass parsing system combines OCR and vision-language models to…
What they do: Convert PDFs, images, spreadsheets and 30+ formats into structured, LLM-ready data via APIs and a no-code Studio.
Tech differentiator: Vision-first, multi-pass pipeline combining layout-aware computer vision, vision-language models, and agentic OCR.
Enterprise posture: Offers SOC 2 and HIPAA compliance, zero-data-retention options, and on-prem/VPC deployment.
Funding: Raised seed and Series A; Apr 2025 Series A $24.5M led by Benchmark; total ~ $33M after that round.
Document ingestion and information extraction for AI and enterprise workflows.
2023
Software Development
$24.5M
Dealroom reported this round and that total funding reached nearly $33M.
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About Reducto Reducto helps AI teams ingest real world enterprise data with state of the art accuracy.
The vast majority of enterprise data — from financial statements to health records — is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale.
We’ve grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale), through to enterprise (FAANG, top 3 trading firm).
We're raised over 100M from world class investors like A16z, Benchmark, and First Round Capital, and are hiring a Product Engineer.
The Role
As a Lead Product Engineer, you'll define and build the features and platform used by our customers to power their critical business workflows. You'll work closely with our founders and leadership to make document data accessible to anyone, developers and non-developers alike. You'll build a rich end-to-end product suite that helps customers retrieve the data they want from their documents, in the size and shape they need. This includes features like interactive and agentic document editors to delightful interfaces for viewing and managing expansive datasets. Just as much as you'll define what we build, you'll shape our culture of how we build excellent products.
We Would Love To Meet You If You:
The Core Work Will Include:
Bonus Points If You:
This is an in person role at our office in SF. We're an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.
About Reducto Nearly 80% of enterprise data is in unstructured formats like PDFs PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to dozens of wasted hours every week.
Traditional approaches fail at reliably extracting information in complex PDFs OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.
Reducto Breaks Document Layouts Into Subsections And Then Contextually Parses Each Depending On The Type Of Content. This Is Made Possible By a Combination Of Vision Models, LLMs, And a Suite Of Heuristics We Built Over Time. Put Simply, We Can Help You:
Benefits at Reducto
At Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:
Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.
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