🎉 Tecton is now 100 strong! 🚀 We're thrilled to reach this milestone as we continue our mission to help companies power all their experiences with AI. Here's to the next 100!
Tecton
Software Development
San Francisco, California 14,924 followers
The feature platform for machine learning, from the creators of Uber Michelangelo.
About us
Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready feature platform to make world-class #machinelearning accessible to every company. Machine learning creates new opportunities to generate more value than ever before from data. Companies can now build ML-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. But ML models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage ML data. Most companies don’t have access to the advanced ML data infrastructure that is used by the Internet giants. So ML teams spend the majority of their time building custom features and bespoke data pipelines, and most models never make it to production. We believe that companies need a new kind of data platform built for the unique requirements of ML. Our goal is to enable ML teams to build great features, serve them to production quickly and reliably, and do it at scale. By getting the data layer for ML right, companies can get better models to production faster to drive real business outcomes.
- Website
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https://tecton.ai
External link for Tecton
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2019
- Specialties
- Machine Learning, Data Science, Feature Store, Data Engineering, Artificial Intelligence , Big Data, MLOps, DevOps, and Data Platform
Locations
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Primary
995 Market St
San Francisco, California 94103, US
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205 Hudson Street
7th Floor
New York, New York 10013, US
Employees at Tecton
Updates
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Boost your ML workflow with Tecton's powerful declarative framework! 🚀 This new blog post reveals how to streamline feature engineering and bridge the data science-engineering gap. 🌉 Key reasons to dive in: 🤝 Learn about unified feature definitions for seamless collaboration ⚙ Automate feature pipelines from dev to production effortlessly 📊 Tackle training/serving skew for robust model performance 💰 Cut infrastructure costs while maximizing efficiency Ready to level up your ML game? This practical guide from Sergio F. is packed with insights to transform feature engineering. #MachineLearning #FeatureEngineering #MLOps #DataScience https://lnkd.in/g5rzf-au
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Join GetYourGuide, Arize AI, and Tecton this Thursday at 9am PT for a virtual talk! Can't make it live? Register now and we'll send you the video after the event. https://lnkd.in/gWk9g5et
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What is Features as Code all about? 🚀 Discover how to productionize features faster, and with more accuracy, and bridge the gap between data science and engineering. 💡 By treating features as first-class citizens in the ML lifecycle, you can: Streamline collaboration between data scientists and engineers 🤝 Increase reusability and shareability of features across teams and projects ♻️ Automate the creation, execution, and monitoring of feature pipelines 🔄 Ensure consistent and reliable serving of features in real-time and batch scenarios ⏰ Read our latest blog post to learn how organizations build and manage features as code, accelerate the development and deployment of ML models, and drive innovation and business value. 🚀 #FeaturesAsCode #MachineLearning #DataScience #Tecton
How Features as Code Unifies Data Science and Engineering | Tecton
tecton.ai
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New blog post: Discover how Tecton solves the hidden data engineering problems in ML! Say goodbye to endless data engineering tasks and infrastructure headaches holding your ML projects back. In our latest post, we explore the core challenges faced by ML teams and how Tecton revolutionizes the way you work with data, including: 🛠 Automating data pipelines 🤹♂️ Seamless batch, streaming, and real-time processing ⚙ Fully managed compute and storage infrastructure Read the full post to learn how Tecton can unblock your ML projects and help you build smarter models, faster! 🔗 https://lnkd.in/eQKpFE6g #MachineLearning #DataEngineering #FeatureEngineering #Tecton
Hidden Data Engineering Problems in ML and How Tecton Solves Them | Tecton
tecton.ai
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Tecton reposted this
Check out the latest People Business Partner role at Tecton and 105+ other remote HR and People Operations jobs - https://lnkd.in/gN4WmZr9! Thanks to our sponsor, SelectSoftware Advisor, you can get free advice on the best HRIS, ATS, and Payroll software. Book a time with an expert here: https://lnkd.in/d6Zg2AUV #peoplejobs #peopleops #hrjobs #humanresources #peopleoperations #diversity #dei #talent #remotejobs
PeopleOps Jobs | People Business Partner @ Tecton
peopleopsjobs.io
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Tecton’s CEO & Co-Founder Michael Del Balso is speaking at Databricks Data + AI Summit later today! Join his session at 5:10pm then stop by Booth #105 to chat with him afterwards, plus enter to win a PlayStation 5. See you there!
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Come by Tecton Booth #1252 at Snowflake Summit this afternoon for our first Rock.Paper.Scissors tournament at 3pm! Winner gets a Nintendo Switch! #datacloudsummit
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Tecton reposted this
Uber’s Michelangelo vision wasn't just about a feature platform. The main goal was to assist teams in building and deploying ML applications. Though every part of the workflow was addressed, 80% of the architecture ended up revolving around data and feature management. h/t to Michael Del Balso from Tecton for the insight. — (link to the full podcast episode in the comments) #ml #machinelearning #mlops