Latent Space's cooking show features Reducto's PDF processing recipe

In this episode, @reductoai co-founder and CEO @aditabrm joins @allenpark to make steak sandwiches with burrata, torched peaches, and chimichurri and talk about why PDFs still break AI: how frontier models silently drop rows, why 99% accuracy can still fall short in production, what Reducto learned processing a billion pages a month, and what it would take for office work to have its Claude Code moment. 00:00 Cold Open 00:13 Meet Adit Abraham and the Viral Steak Tweet 00:57 From Remembrall to Reducto: YC and the Pivot 01:57 Why PDFs Are Still Hard for AI 03:35 What AI Agents Need to Do With Documents 04:19 Model Routing for Tricky Pages and Tables 05:29 Build vs. Buy: When to Train Your Own Models 07:00 Deep Extract, Frontier Models, and Missing Rows 08:20 Why Everyone Wins Their Own Benchmark 09:29 Reducto R1: Accuracy, Cost, and a Billion Pages a Month 10:57 When 99% Accuracy Isn’t Enough 13:05 Continuous Evals and Production Failures 16:49 How Reducto Uses AI Agents Internally 18:28 Hiring With AI and the Eight-Hour Onsite 20:17 Early Hires and What Obsession Looks Like 23:17 Blowtorching Peaches 24:24 Scaling From a Small Team to Series B 27:34 Competition and the Data Flywheel 30:52 What Better Parsing Unlocks for Customers 32:11 Finding a Cofounder at MIT 34:34 The Anthropic Hackathon, Long-Term Memory, and RAG 38:49 From Reading PDFs to Redlining Contracts 43:19 A Claude Code Moment for Office Work 46:13 What’s Next for Reducto: Extraction, Citations, and Cost 47:51 Assembling the Steak Sandwich 49:55 The Steak Allegations and Taste Test