Bright Data

** Great energy at our San Francisco office during #SFTechWeek! ** Thank you to everyone who joined our morning event, co-hosted with our incredible partners at Microsoft for Startups and Startup Grind. Founders, investors, and ecosystem leaders came together to talk about the power of data in today's world. One theme kept coming up: as we move toward #AI agent-based workflows, the real challenge (and the real edge) is the data. How good is it, how much context do agents have, and can we trust the work they deliver? Today, what sets early stage teams apart is the quality of their #data. It's what lets them build trust with their agents and rely more and more on what those agents build and deliver. The products we build today are only as good as the information we feed them. As Ludovic Granger (CEO of Leadbay (YC F25), a Bright Ventures portfolio company) put it, the answer keeps coming back to the same thing: fresh, real-time, on-demand data. Thank you again to our partners and to everyone who joined us! #SFTechWeek #AI #AIAgents #Data #Startups #VentureCapital

What if your scrapers fixed themselves when a website changed? 🤔 Building a scraper is quick. Keeping it alive is the hard part. Selectors break, requests get blocked, and nobody notices until the data stops. Join our live webinar + Q&A: Stop fixing broken scrapers: build self-healing scrapers with Scraper Studio In this live session, we'll turn a public website into a hosted data API from a single prompt and run it on Bright Data's infrastructure with unblocking built in. Then we'll show Auto Self-Healing repairing the scraper when the site changes, with the option to review the fix before it goes live. You'll learn how to: ✅ Build a working scraper from your coding agent (Claude Code, Cursor or Codex) with one CLI command ✅ Let Self-Healing repair a broken scraper, then review or roll back the fix ✅ Trigger self-healing automatically when your scraper's success rate drops ✅ Configure how many healing runs happen per job and per day 📅 Wednesday, October 14, 2026 🕓 4PM CEST 🎤 Hosted by Anil Kumar Krishnashetty, Technical Product Marketing, Bright Data 👉 Save your spot: https://lnkd.in/diRHAMV8 #WebScraping #DataEngineering #AI #Automation #BrightData #ScraperStudio

Bright Data x Calven! Most AI agents are confidently wrong. Calven agents run real product marketing, the kind sales teams put in front of customers. So they built them to never guess. Swipe to see how they ended hallucination for good! David Kolinek || Lukáš Kolek || Keshet Naiman || Nofar Nistani || The Bright Initiative by Bright Data

Most AI problems aren't really AI problems. - Agents fail because their web data is stale, incomplete, or blocked. - Third party search APIs are someone else's index. Fine for demos. Breaks at scale. - 14 of the top 20 AI labs don't scrape the web themselves. There's a reason. Join the Bright Data team at HumanX Amsterdam, Sept 22–24 and find out why 50,000+ companies trust us to solve exactly this. -> Sep 23, 1PM | Masterclass: Build your own AI search engine. Own your context instead of renting it. -> Sep 24, 3:35PM | Panel: Context is King. How to build AI systems, not just features. Stop by Booth H02, and we'll show you how you can solve your data problem. Ariel Shulman, Omer Primor, John O'Keeffe, Conor O'Sullivan, Rafael Levi, Carlos Martin, Jeffrey Broderick, Iris Gani, Leigh W., Robert van der Gulik, Thomas Olsson ☁️ #HumanX #AI #AIAgents #WebData

Huge congrats to Pally (YC S25), we couldn't be prouder to have Bright Ventures as part of their impressive journey! They just raised $5.2M to build the default AI assistant over text. Swipe through to see why this is such a big deal 👉 Haz Hubble || Dana Mazia || Aviv Tal || cyber•Fund || Y Combinator || Founders, Inc. || Inkberry Ventures || Pioneer Fund || Pace Ventures || 468 Capital || Umami Capital || Multimodal Ventures || Clover Fund

Bright Data is at Ai4 2026. Every agent and model runs on data, and we're the layer that connects them to the web. If there are 3 things you can't miss out on at Ai4, these are the ones 👇 1. Catch the keynote that reframes the whole problem Our CPO Ariel Shulman on the Main Stage - Wed, Aug 5 · 12:10 - 12:30 PM: "Enabling AI agents to discover the web in real time." The web was built for humans; agents need it built for them. See how to give agents real-time, reliable eyes on the web so they stop automating mistakes and start delivering results you can trust. 2. Fight a robot Unleash the Bots at the BattleBots Arena, Wed, Aug 5 · 6–9 PM. 14 bots destroying each other live, drinks, builders repairing under pressure, VIP backstage tours, and swag. You might even operate a hammer in the ring. Space is limited - request your ticket here; https://lnkd.in/dJekJe8p or get your ticket at Booth #813. 3. Get your hardest data problem solved on the spot Whether you're writing the code or signing off on the roadmap, sit down with the engineers who build this and the team who ships it to enterprises. Your target site, your use case, your scale and the compliance to back it. Walk away with a real answer, not a pitch. 📍 Booth #813 👉 Book a 1:1 slot: https://lnkd.in/d-qX72VC See you in Vegas! Bill Paulsen, Ariel Shulman, Yanay Sela, Rafael Levi, Kasey Johnson, Raz Kaplan Michelle Weisbarth, Michael Brisbois, Iris Gani, Leo X. Mikey Hirt, Jennifer Burns. Ai4 - Artificial Intelligence Conferences #Ai4 #AIAgents #LLM #WebData #Compliance #BrightData

The best model scored just 78% accuracy. A third of wrong answers looked completely trustworthy. That's what AgentRoyale revealed. An open-source benchmark for AI web retrieval, built by Vinaya Sharma of Stanford University through the first Builder-in-Residence round, with ground truth verified via Bright Data MCP. One talented builder. One raw idea. A tool the entire community can now use to build with evidence, not intuition. Builder-in-Residence 2.0 is now accepting applications (link below). Swipe through for the full story. https://lnkd.in/ezUjc2x6 Dani Kaye, MBA || Tomer Cohen || The Bright Initiative by Bright Data

$1.5 trillion in financial crime every year. Most of it is never investigated. Detection isn't the bottleneck — investigation is. Rising alert volumes, tougher regulations, and a global shortage of investigators leave most risk untouched. That's why Bright Ventures is proud to be a strategic partner and investor in Tangos, which just raised a $20M Seed led by Red Dot Capital Partners. Tangos' autonomous AI agents don't just flag risk. They investigate it, delivering evidence-backed, regulator-ready case files. And Bright Data's web data infrastructure powers the evidence layer behind it all. Swipe through to see how the investigation bottleneck is finally breaking. How is your compliance team handling alert overload? Let us know in the comments. Eyal Azoulay || Hanan Gelbendorf || Dana Mazia || Aviv Tal #FinCrime #AML #Compliance #AI #WebData #BrightVentures #BrightData #Partnership

At MACHINA Summit today, Or Lenchner (CEO, Bright Data) took the Master Stage: "The machine processes the world. It has never once been in it." That's the gap every team building physical AI is up against. A model can process language endlessly, but it has no lived experience of the physical world. And the data that would give it that experience - visual, spatial, real is far harder to source than text. That's the problem Bright Data solves. Over the last 12 months, we've delivered petabytes of visual data; video, images and 3D extracted from the public web. Structured, compliant and pipeline-ready. The bottleneck has shifted. It's no longer the model, it's access to real-world data at the scale and quality these systems demand. If you're at RAISE Summit tomorrow. 👉 Catch Or's keynote session "How Data Became the Most Indispensable Resource for AI." - July 8, 9:40 AM on the Master Stage. 📍 Meet the team at Booth #5 - Let's talk data. #RAISESummit #MACHINA #PhysicalAI #AI #DataInfrastructure

The real bottleneck for AI isn't the model anymore. It's the data and whether you can feed it at the scale and quality real systems demand. Our CEO Or Lenchner breaks it down on the Master Stage at RAISE Summit: How Data Became the Most Indispensable Resource for AI. It's also why teams across the industry are already working with us, including 14 of the 20 leading LLM labs. Here's where Bright Data shows up in the AI stack: → Agents in production. Live, structured data from any public site, powering 100M+ AI-agent interactions a day. → Frontier model training. The public web as pipeline-ready training data: petabyte-scale video, image, audio, and text. → Physical AI & VLA. Web-scale data for models that act in the real world, extracted at 99%+ success. When you're at RAISE: 1️⃣ Catch the keynote - July 8, 9:40, Master Stage. 2️⃣ Then find us at Booth #5 - bring your web data problem, and let's talk solutions. See you in Paris. #RAISESummit #AI #DataInfrastructure