it's pretty annoying how good @aditabrm is at sales - i mean he sold me on joining reducto! but his mindset is inspiring - you should be glad if something is a skill issue. it means you can get good at it. see more of his wisdom and energy drink addiction in the full inside startups episode!

Hundreds of millions of pages move through Reducto every week 📃 On October 27th, we’re bringing together the people who power the infrastructure behind them. Join us at our HQ in San Francisco for a chat with Siddhant Pagariya and Lijie Zhou from our Infra Team. They will walk us through real projects and afterwards, we'll turn it over to you to try an interactive Capture the Flag with a live leaderboard. Expect great food, drinks, and time to connect with fellow infrastructure engineers 🔮

AI agents can reason over enormous amounts of information, but much of the world's actual work is still trapped in PDFs, spreadsheets, scans, and other formats that models struggle to reliably understand. Reducto co-founder and CEO Adit Abraham argues that solving this document layer is essential if agents are going to take on consequential work in healthcare, legal, finance, and insurance. Adit joins a16z General Partner Jennifer Li to explain why traditional OCR breaks down on messy real-world documents, how Reducto combines vision-language models with specialized infrastructure to reach high accuracy without sacrificing cost or latency, and why frontier models can silently drop information on long extraction tasks. Reducto now processes billions of pages each month, and crossed its 7 billionth page the morning of this recording. 0:00 Why AI agents need to read PDFs 2:12 From 1990s OCR to vision models 5:00 Training R1 on the messiest docs 7:46 When agents beat humans at extraction 9:45 A penny a page for 7 billion pages 12:47 Why legal and finance lag coding AI 15:01 The stakes of AI errors in healthcare 16:25 Agents that can edit Word and Excel 17:58 Why the labs won't go deep on PDFs 20:14 Frontier models silently drop data 22:21 Benchmarks have become marketing 25:45 Why charts and Excel stump models 28:46 Infra for 10M documents at once 31:03 How "chet pain" gets claims denied 34:32 The paperwork AI should kill first YouTube: @aditabrm @reductoai @JenniferHli

How do you win in AI when frontier labs are tackling the same problem? I went INSIDE @reductoai with founders @aditabrm and @raunakdoesdev. $108M raised, 1B+ pages processed a month. They’re making complex documents usable by AI. How are they turning that momentum into a lasting advantage? New INSIDE Startups episode coming soon

there’s this unspoken fatigue around building in saas right now ai has compressed timelines for the lifecycle of a product’s iteration and death it’s beginning to feel pointless to event build something in the first place