Build a real-time AI application with Python in minutes. It's never been easier and faster to infuse real-time AI decisioning into your applications.

Rift is Tecton’s proprietary Python-based compute engine that is optimized for AI data workflows. It is:

• Python-based: Runs transformations at scale in batch, streaming, or real-time
• Consistent: Processes data consistently online and offline from a single definition
• Performance optimized: Millisecond fresh aggregations across millions of events with no complex infrastructure
• Developer friendly: Develop, test and run locally, and productionize instantly
• Standalone: Requires no underlying data platform or Spark. No infrastructure needed

Using Tecton with Rift, you can:

• Build better features: Use Python to build features across batch, streaming, and real-time data
• Iterate faster: Interactively develop features in a local environment and deploy that same code to production
• Deploy instantly: Move to production with a simple 'tecton apply' command, without worrying about rewriting code, infrastructure management, or pipeline orchestration
• Run with enterprise reliability and scale: Reliably power your AI models with real-time features at low latency and massive scale

Sign up for the public preview today!

Interested in learning more about Rift? Check out our blog post, "Unlocking Real-Time AI for Everyone With Tecton."