Tecton

Today marks Tecton's 6th anniversary! 🎉 What started as an idea born from our experience building Michelangelo at Uber has grown into something truly remarkable. In 2017, we saw firsthand how a feature platform could enable a Cambrian explosion of machine learning within an organization. That insight led us to found Tecton in 2018, with a mission to help every company successfully operationalize AI. We're incredibly proud of how far we've come: from pioneering the first enterprise feature platform in 2020, to powering mission-critical AI applications at some of the world's leading companies, to launching Tecton 1.0 this year with groundbreaking capabilities for both predictive ML and generative AI. But what truly energizes us is seeing how our platform helps teams every day to build exceptional AI products. Thank you to our amazing customers, partners, and the incredible Tecton team for being part of this journey. As AI becomes central to how businesses operate, our mission is clearer than ever: bridging the gap between data and AI systems to help organizations build reliable, production-ready AI. Here's to the next chapter! 💫 #AI #GenAI #MLOps #FeatureStore #FeaturePlatform

😱 Is it giving you nightmares to build a production LLM-powered app? You're not alone! Engineers are running into these scary scenarios: 👻 Costly hallucinations in customer-facing apps 🧟♀️ Complex manual work scaling your RAG system 💀 Generic, impersonal responses that don’t know the user 🧛 Inefficient prompts, overstuffed with irrelevant info Don't let your GenAI use case turn into a technical horror story. Our new blog has the practical engineering strategies to keep the monsters at bay! #LLM #GenAI #MLOps

HomeToGo is dedicated to creating a seamless, highly personalized experience for every traveler—and achieving that means real-time, high-quality data is key. 🔑 In our latest Data & Engineering blog post, Stephan, Director of Data Analytics at HomeToGo, shares how we leverage Tecton’s Feature Platform to supercharge our ranking algorithms. In an industry where relevance and speed make all the difference, Tecton’s platform enables us to turn data into high-impact, real-time insights, connecting travelers with their perfect vacation rentals faster and more accurately than ever. 🚀 Check out the full blog post 𝑯𝒐𝒘 𝑻𝒆𝒄𝒕𝒐𝒏’𝒔 𝑭𝒆𝒂𝒕𝒖𝒓𝒆 𝑷𝒍𝒂𝒕𝒇𝒐𝒓𝒎 𝑺𝒖𝒑𝒆𝒓𝒄𝒉𝒂𝒓𝒈𝒆𝒅 𝑯𝒐𝒎𝒆𝑻𝒐𝑮𝒐’𝒔 𝑹𝒂𝒏𝒌𝒊𝒏𝒈 via the link in our comments! #HomeToGo #TravelTech #innovation #data #growth

🚀 Join us in Atlanta for an exciting MLOps Community meetup focused on Scaling AI in Production! Whether you’re an ML engineer, data scientist, or AI enthusiast, this is your chance to dive deep into strategies and best practices for scaling machine learning models in the real world. 💡 With insightful talks from industry experts like Korri Jones (Chik-Fil-A), Tim Liu (BentoML), and Brian Stanley (Tecton), you’ll learn about overcoming production challenges, automating workflows, and keeping models reliable at scale. 📍 Location: The Hodges Room 🕕 Time: 6:00 PM - 8:30 PM 🤝 Networking + Refreshments Included! Come for the learning, stay for the networking with Atlanta’s vibrant AI/ML community. See you there! #MLOps #AIinProduction #MachineLearning #AtlantaTech #Networking #AI

Kurve and Tecton are hosting the first MLOps Community Miami chapter event on 11/14! If you're an ML/AI practitioner, leader, or an investor in the Miami area please join us!

"Just having a well-tuned model is not enough to enjoy success with generative AI. You also need to connect it firmly to the business practices." The New Stack shared why the next big challenge in GenAI is personalization -- and how Tecton has expanded to help customers connect their data with their LLM-powered apps. Get the story below!

So excited about our next #Denver MLOps Community speaker event where Alex Gnibus will discuss about "Building AI applications faster using context as code" on November 12 at Code Talent. Is it taking too long to ship your AI apps? It's probably because you're bogged down by the data engineering it takes to turn data into the right context for AI models (like features and embeddings). Learn how to use context as code -- which makes handling your AI pipelines much easier. Don’t worry, our Denver/Boulder chapter is not a community of just MLOps practitioners (Machine Learning Operations). We also enjoy other awesome things like Machine Learning Development, Artificial Intelligence, Data Science, Data Analytics, Business Intelligence, Data Engineering, LLM Operations, and open-source data projects. Huge shoutout to Tecton for supplying some sweet sweet swag and for generously sponsoring this event. Thanks to Adriana Gallivan and Binoy Perera for helping to organize, Kimberly Southerland and Alexander Liss for continued support, and Conor, Nick, Kevin and the Code Talent crew for hosting! Please drop me, Bianca DePriest, or Chase C. a message if you have any questions about the event! Don't forget to RSVP via link in the comments!

🚀 Unlock the power of personalized AI chatbots! 🤖 Learn how to enhance your LLM-powered applications using Tecton's new GenAI capabilities. 🔍 Discover step-by-step techniques to create hyper-personalized chatbots that deliver accurate, context-aware responses. From prompts to agentic knowledge and feature tool integration, this guide has you covered. Key reasons to read: 💡 Prompt enrichment for tailored user experiences 🔧 Leverage features as tools for up-to-date personalization 📚 Easily integrate domain-specific knowledge from unstructured data 🧠 Build intelligent chatbots that know the user's past and current context Ready to revolutionize your AI applications? 💪 Check out the full blog post and take your chatbots to the next level! #AIInnovation #PersonalizedChatbots #TectonGenAI https://lnkd.in/gfYbM8Jg

Personalization is at the core of modern AI applications, and Michael Del Balso from Tecton knows how to do it right. At the DE4AI conference, he explored how Full RAG and rich contextual data can elevate LLM applications. From batch data to streaming inputs, it's all about creating hyper-personalized experiences that make a real impact.

If you've ever tried building personalized AI systems that are RELIABLE, you know how difficult it is, and there is a gap in knowledge of how to overcome this difficulty... To bridge this gap, next Thursday (October 17th) MLOps Community partnered up with Tecton, South Park Commons, and Bauplan to bring you the most rigorous demonstration of exactly how to do that. We're going to be learning from Ajeya Rengarajan (Tecton) about tactics to simplify scalable personalization in RAG systems, and from Ciro Greco (Baulplan) about tactics to create fully replayable data pipelines through decoupling. We'll take care of food and drinks, but we have limited seats, so get your ticket ASAP: https://lu.ma/r1g9vfom Thanks to Maja Milinkovic, Sam Harding, Isaac Donis, Vivek Kuppili, Ciro Greco, Dylan Itzikowitz, Susannah Laster, Adriana Gallivan, Ajeya Rengarajan, Binoy Perera, and Demetrios Brinkmann for your help in putting this together!