Featureform

Featureform is now part of Redis! Together, we’re building the context engine for AI which enables developers to deliver the right data, at the right time, to power the next generation of intelligent systems. We’re uniting our framework for connecting models and agents to your data with the world’s leading real-time data platform. Redis has been our closest partner from day one, providing the low-latency delivery, semantic caching, and vector search that powered Featureform. This partnership is natural, we’ve been building towards the same vision. To the Featureform team, thank you. You’ve built something incredible through hard work, late nights, and pure persistence. As we trade pink jerseys for red ones, the same grit, curiosity, and drive will lead us to continued success. To our investors and board, Gautam Krishnamurthi at GreatPoint Ventures, Jocelyn Goldfein at Zetta Venture Partners, James Alcorn, and Sam Ramji, thank you for believing in us and guiding us through the twists and turns. To our customers and users, thank you for trusting us and pushing us forward. Under Redis, we’ll keep building Featureform, faster and stronger. To the Redis team, Manvinder Singh, Benjamin Renaud, Rowan Trollope, and Benoit Dion, thank you for the vision and for welcoming us in. This is going to be fun! As I look back over the years, what sticks with me the most isn’t the launches or milestones, it’s all of the people who made them possible. I’ve learned so much about leadership, patience, and myself. I'm grateful for everyone who's been part of the journey. It’s been an incredible ride so far, and I'm excited for the next chapter.

It’s official, Featureform is joining Redis. We couldn’t be more excited about this next chapter.

Last night’s Summit proved just how fast the MCP community is growing: 100+ builders and investors packed the venue, standing-room only, and the best part was chatting with EnrichMCP users about their incredible projects. 🧑🏫 We went deep on enterprise-grade MCP tooling, browser-powered agent workflows, knowledge-graph memory, open-source deployment pipelines for MCP agents, and capped it with a VC panel on where agent-infrastructure is headed next. 🙏 Thank you to everyone who joined us, and shout out to our awesome speakers: Hans Ashlock of Cisco ThousandEyes, Elizabeth (Lizzie) Siegle of Cloudflare, Daniel Chalef of Zep AI (YC W24), and Pietro Zullo and Luigi Pederzani of mcp-use (YC S25). Also, huge thanks to our VC panelists Rajko Radovanović of Andreessen Horowitz, Akriti Dokania of Ridge Ventures, and James Alcorn of Lightspeed. 🤝 Last but not least, we’d like to extend a special thank you to Mackenzie, Chadd Turner, and Silicon Valley Bank for offering us their space and hospitality. It was great to partner with you guys! And of course, Marie Owens did a great job organizing, as per usual. See you at the next one.

If you're building with MCP or just curious how real agentic systems are coming together, come hang out at the MCP Builders Summit. This isn’t another high-level panel. We’re diving into how teams are actually using MCP in production: what’s working, what’s breaking, and where it’s going next. 🗓️ Wednesday, July 30 📍 Location: SVB Experience Center, San Francisco 🕔 Doors open at 5 PM | Talks at 5:30 🤝 Co-hosted with Silicon Valley Bank Expect technical deep dives, good people, and some honest conversations about what’s emerging in this space. 🎟️ Learn More and RSVP here → https://lu.ma/c00k6tp2

🚀 We were extremely impressed with everyone at the MCP and Agents Hackathon this past weekend! We saw a lot of interesting use cases for MCP servers and agents, and in particular, some great applications of enrichMCP. It was hard to pick which ones were best, but we are proud to announce the winners: 🏆 1st Place: Cortex, Mac AI-Powered Focus & Productivity Coaching Program Niranjan Baskaran, Tanish Pradhan Wong Ah Sui 🥈 2nd Place: Kute AI, AI program for parents to craft personalized & educational children's stories Sushmita Vigraham, Ramraj Velmurugan 🥉 3rd Place: Vault MCP, Unifying memory for cross-model/agent applications Divyank Shah, John Zhou, Andrew Khadder, Alex Truong 🌟 Best Use of EnrichMCP: Finly, an AI-powered financial assistant that connects to your portfolio Logesh Rajendran, Srishti Lodha, Apurva Pancholi, Alan T. We'd like to thank our co-sponsors Ridge Ventures, Smithery and Martian, and organizer Marie Owens for all their support in putting this together, and Speakers Akriti Dokania, Shriyash U., Gonzalo Mocorrea, and Anirudh Kamath for your insight 🙏 See you all at the next one!

We're excited to announce the prizes for the upcoming MCP and Agents Hackathon, co-hosted by Ridge Ventures and Smithery, on July 19th & 20th at Ridge Ventures SF Office! 🥇 1st place prize: Nintendo Switch 2 (one for each team member)! 🥈 2nd place prize: Polaroid Camera Gen 3 (one for each team member)! 🥉 3rd place prize: $250 in Amazon gift card(s) 🌟 Best Use of enrichMCP: $500 DoorDash gift card We still have a few spaces left for the upcoming Hackathon! Learn more and RSVP here to compete for one of these cool prizes: https://buff.ly/iipBIgt

🛠️ We're back with another MCP Hackathon for all of you! Join Featureform, Ridge Ventures, and Smithery on Saturday, July 19th, and Sunday, July 20th, at Ridge's SF office again for a weekend of building with MCP and Agents. Bring a fresh idea (or team up on-site), ship something cool, and showcase it to founders, investors, and engineers. We'll also have some interesting talks throughout the event. Lunch & caffeine are on us both days. 🌟 Prizes, of course, will be given to the winners! 🌟 ⬇️ Link for registration is in the comments below ⬇️

🧑🏫 Learn how EnrichMCP can transform your data models into typed, discoverable tools - like an ORM for AI. Join our founder, Simba Khadder, on Tuesday, July 1st, at 8 AM PT for our latest webinar, "Connecting Agents to Your Data with EnrichMCP!" ✨Highlights of our upcoming webinar include: 🔹Connect EnrichMCP to a live database, run real agent queries, and walk through how it builds a semantic interface over your data 🔹Cover relationship navigation (like user → orders → products) 🔹Show how input and output are validated with Pydantic 🔹Explain how to extend the server with custom logic or non-SQL sources 🔹Discuss performance, security, and how to bring this pattern into production We'll have a Q&A at the end, and all code shown will be shared. RSVP to the webinar here ➡️ https://buff.ly/ljtVTta

This week has been surreal. Right on the heels of our first MCP hackathon, we shared EnrichMCP on Hacker News. It sat at the top of the front page all day. Dozens of reach outs. Hundreds of stars. Real teams already integrating it. Agents aren’t limited by intelligence. They’re limited by access. EnrichMCP is the key. It’s a Python framework that turns your internal data models into a semantic API for agents. Built on top of MCP, it works like an ORM for AI. You define your models like you would with SQLAlchemy, and EnrichMCP exposes them as structured, typed, callable tools. What we actually need are new ways to define data APIs built for agents, not humans. EnrichMCP is that layer. It turns your internal models into a semantic interface agents can understand, navigate, and call safely. Every company building agents will need something like this. The fact that so many people instantly got it makes us even more confident. Huge thanks to everyone who gave feedback, asked hard questions, or just tried it out. We’re just getting started. Repo link in the comments!