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:
The vast majority of enterprise data is in files like PDFs and spreadsheets. That includes everything from financial statements to medical records. Reducto helps AI teams turn those really complex documents into LLM-ready inputs with exceptional accuracy.
Hundreds of companies have signed up to use Reducto since our launch, and we're now processing hundreds of millions of documents for teams ranging from leading startups like Scale AI to Fortune 10 enterprises.
We're hiring a Founding Recruiter to build the team that will take Reducto to the next level. As our Founding Recruiter, you'll work directly with the founders to develop and execute our talent acquisition strategy from the ground up. You'll be responsible for the entire recruiting lifecycle—from sourcing exceptional candidates to creating an outstanding onboarding experience that sets new team members up for success.
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.
fulltimeSan Francisco, CA, USMachine learning$150K - $240K0.10% - 1.00%3+ years
fulltimeSan Francisco, CA, USFull stack$140K - $240K0.10% - 1.00%3+ years
fulltimeSan Francisco, CA, USFull cycle$115K - $170K3+ years
fulltimeSan Francisco, CA, USMachine learning$200K - $300K0.10% - 1.00%3+ years