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:
As Reducto’s first growth hire, you’ll lead our demand generation efforts across channels. You'll have the autonomy to run creative experiments, build our content engine, and find unconventional ways to reach AI teams. This is a rare opportunity to shape the growth strategy for a rapidly scaling AI infrastructure company.
The vast majority of enterprise data — from financial statements to health records — are locked in unstructured file formats like PDFs and spreadsheets. Reducto is the most accurate way to parse and extract data from complex documents.
Today we power ingestion pipelines for hundreds of leading AI teams, ranging from popular startups to Fortune 10 enterprises. We’ve grown incredibly quickly (0→7 fig in ARR in 6 months), are loved by customers (>300M pages parsed), and are well funded by tier 1 investors.
80% of time:
20% of time:
fulltimeSan Francisco, CA, USFull stack$140K - $240K0.10% - 1.00%3+ years
fulltimeSan Francisco, CA, USMachine learning$150K - $240K0.10% - 1.00%3+ years
fulltimeSan Francisco, CA, USMachine learning$200K - $300K0.10% - 1.00%3+ years
fulltimeSan Francisco, CA, US$110K - $180K1+ years
fulltimeSan Francisco, CA, US$90K - $140K1+ years
fulltimeSan Francisco, CA, US$100K - $160K0.10% - 0.30%Any (new grads ok)