The data platform for machine learning, from the creators of Uber Michelangelo. Build a library of great features. Serve them in production. Do it at scale. Founded by the team that created the Uber Michelangelo platform, Tecton is building an enterprise-ready data platform to make world-class machine learning 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.
A System to Build, Automate, and Centralize Feature Workflows for Production ML Applications. Save months of work by replacing bespoke data pipelines with robust pipelines that are created, orchestrated, and maintained automatically. Improve your model’s accuracy by using real-time features and minimizing sources of error with guaranteed data consistency between training and serving. Increase your team’s efficiency by sharing features across the organization and standardizing all of your machine learning data workflows in one platform. Serve features in production at an extreme scale with the confidence that systems will always be up and running. Tecton meets strict security and compliance standards.
B2B
26 to 50
Series C
$160M
Scaling Up
2019
Information Technology and Services
Computer Software
Integrates with Your Existing Stack
Fully Managed and Cloud Native
Increase Productivity
Analytics
Service
Yes
Active
Machine Learning
Software
UI & Data Visualization Engineer
Remote, Remote
UI & Data Visualization Engineer
New York, New York
UI & Data Visualization Engineer
San Francisco, California
Software Engineer, Machine Learning
Remote, Remote
Software Engineer, Machine Learning
New York, New York
AI/ML Professionals
7
1
$100M
Company was founded 2019 and it took almost 3 years (Jul 2022) to raise first external round
Investors
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