
Ines Chami
@chamii22
Building @NumbersStnAI, previously @StanfordAILab
ID: 981929532474183682
https://ines-chami.github.io/ 05-04-2018 16:20:18
195 Tweet
1,1K Followers
651 Following

🚨 T-2 days until our joint webinar with Snorkel AI 🤿 Co-founder & Chief Scientist Ines Chami dives into how we use RAG & a multi-agent architecture for structured & unstructured data within data workflows. 📷 Space is filling up! Register today. snkl.ai/enhance-rag


🎉 Another one in the books! Excited to announce that we are adding Databricks to our expanding ecosystem of performant integrations. Making it easier than ever to connect your warehouse to Numbers Station and begin querying. 1/2





Behind the curtains, they used Anthropic's Claude, LangChain's LangGraph, Firebase, Next.js, and Midjourney. Thank you Anthropic CopilotKit🪁 AI Tinkerers for hosting! geekwire.com/2024/the-winni…


Numbers Station AI empowers data analysts to query all their data sources via a conversational chat interface—unifying databases, dashboards, schemas, email, etc. to generate your insight. Their analytics agents can be embedded into your customer-facing platform via API.

Good morning, SF! 🌁 Kick off #SFTechWeek with a night of food, drinks & trivia 🥳 hosted by your friends at Numbers Station AI, SambaNova, Ramp and Together AI. Test your AI knowledge and meet the minds shaping its future. Today, 5-9 PM. 🧠 partiful.com/e/lntnRVOSW51I… We

We love a good crossover 🥰 Join Numbers Station AI's Chief Scientist Ines Chami and SambaNova for an inside look into the mechanics behind hyper-specialized data agents and how they solve complex data tasks within enterprises. Wednesday, Oct 9. 10am PT. sambanova.ai/lp/how-speed-d…




Excited to partner with Numbers Station AI to launch Model Switch! Powered by models hosted on Together AI, we're giving data teams the freedom to choose the most efficient open-source models for their AI-driven analytics. 2025 is the year of agents, and we're excited to see Numbers



March Madness just tipped off—so we had a little fun and asked our agents to make sense of the data behind the madness. 🏀 We uploaded Evan Miyakawa’s advanced metrics (O-rating, D-rating, true tempo, 10-0s) into NS, and let our agents surface insights to help us make smarter picks.

🚧 Construction logistics isn’t known for cutting-edge software—but Iron Sheepdog is changing that. By embedding Numbers Station directly into their product, brokers can instantly query their data using plain English and get real-time insights without waiting on a report or



Agentic AI will transform every enterprise–but only if agents are trusted experts. The key: Evaluation & tuning on specialized, expert data. I’m excited to announce two new products to support this–Snorkel AI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D! ---