structured-data
(8)
NewsCatcher
NewsCatcher is a news and web search API company that turns the open web into a clean, structured database of real-world events. It pulls from 90,000+ global sources, then deduplicates, enriches, and standardizes the articles so risk, finance, and AI teams can query news the way they query a database. Founded by Artem Bugara and Maksym Sugonyaka, it went through Y Combinator in Summer 2022.
Why AI Doesn't Recommend Your Startup
A field guide to a quiet problem: when a customer asks ChatGPT, Perplexity, or Gemini for the best tool in your category, your startup never comes up. This story breaks down the five reasons AI models skip you - missing authority signals, sparse public information, weak documentation, few third-party mentions, and inconsistent messaging - and lays out how to fix each one. The core idea: AI doesn't invent authority, it reflects it. If the open web doesn't clearly, consistently, and repeatedly describe what you do, the model has nothing to recommend.
Neuralk-AI
Neuralk-AI is a Paris-based deeptech startup building foundation models for tabular, structured data - the spreadsheets, SQL tables and product catalogs that run retail and commerce but that large language models handle poorly. Its in-house model, NICL (Neuralk In-Context-Learning), delivers predictions via API for tasks like product classification, deduplication, catalog cleaning, demand forecasting and personalization, and the company maintains TabBench, an open benchmark for evaluating tabular models on real industrial use cases. Founded in 2023 by Antoine Moissenot and Alexandre Pasquiou, Neuralk-AI raised a $4M seed round in February 2025 led by Fly Ventures, with angels including Hugging Face co-founder Thomas Wolf and Alan's Charles Gorintin.
Sensible
Sensible is a developer-first platform that turns any document - PDFs, scans, emails, images - into structured, verifiable JSON. It pairs LLM-based extraction with deterministic, layout-based rules written in its own configuration language, SenseML, and ships 150+ prebuilt parsers plus confidence scores, source coordinates, and human-review workflows. Founded in 2020 and backed by Craft Ventures, Sensible is used by companies across insurance, proptech, financial services, logistics, and healthcare to automate document-heavy operations.
Jason Auh
Jason Auh is Head of Sales and Customer Success at Sensible, the San Francisco developer platform that turns messy documents into structured, schema-validated data through its SenseML configuration language. A Dartmouth graduate who came up through enterprise sales at NetBase Quid, Jason sits at the seam between the engineering that builds Sensible and the customers who bet their workflows on it - and he writes candidly about where document AI actually breaks in production, not just in the demo.
Diffbot
Diffbot is an AI company building one of the world's largest knowledge graphs by autonomously crawling, reading, and structuring the public web. Its APIs and LLM turn unstructured pages into machine-readable facts about people, organizations, products, and articles - powering search, sales intelligence, market research, and grounded generative AI.
Mike Tung
Mike Tung is the founder and CEO of Diffbot, the company behind the world's largest automated knowledge graph — a continuously-rebuilt database of 10+ billion entities and over a trillion facts extracted from the open web. A UC Berkeley EECS graduate and Stanford AI lab dropout, Tung spent 15+ years building Diffbot with minimal funding (under $15M total) into a platform used by Microsoft Bing, DuckDuckGo, Snapchat, and 400+ enterprises. In January 2025 he launched the Diffbot LLM, an open-source language model grounded in the knowledge graph, achieving top factual accuracy benchmarks among sub-100B models.
Jeremy Fraenkel
Jeremy Fraenkel is the CEO and co-founder of Fundamental, the AI lab that emerged from stealth in February 2026 as a $1.4 billion unicorn with $255 million in funding. A DeepMind alumnus with a graduate degree in Machine Learning from UC Berkeley, Fraenkel previously cut his teeth at JPMorgan and Bridgewater Associates before founding and exiting two startups. At Fundamental, he and co-founders Marta Garnelo (Chief Science Officer, ex-DeepMind/Isomorphic Labs) and Gabriel Suissa are building NEXUS, a Large Tabular Model that does for structured enterprise data what LLMs did for language - delivering accurate predictions from raw tables with a single line of code, no preprocessing required.