Unlocking data behind complex documents
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. This means they can build more reliable products while saving engineering time.
In less than a year we've scaled to 7 figures in ARR, serving customers from ambitious startups to Fortune 10 enterprises. We're now processing tens of millions of pages monthly and looking for a Chief of Staff to help accelerate and structure our growth across all company functions
As Chief of Staff, you'll work directly with our CEO to execute across operations, go-to-market, recruiting, planning and more. You'll be the CEO's force multiplier, helping to identify opportunities, remove obstacles, and ensure our team executes effectively during this period of rapid growth. This role offers unique exposure to all aspects of building a fast-growing AI infrastructure company.
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.
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: