What is Tecton?

Tecton helps teams build and run AI applications in production. It's a platform that makes it easy to prepare the data your AI models need, and then serve that data reliably to your applications.

Think of Tecton as a bridge between your raw data and your AI models. It helps you:

1. Transform raw data into useful signals (called features and embeddings) that your AI models can learn from.
2. Serve those features and embeddings to your models quickly and reliably when they need to make predictions.
3. Keep your training data and production data consistent, so your models perform well in the real world.

Problems Tecton solves

When teams build AI applications, they often face common challenges:

• Data preparation takes too long and is error-prone
• Getting fresh data to models in production is complex and slow
• Training data doesn't match production data, leading to poor model performance
• Managing access controls, viewing lineage, and reusing features and embeddings becomes increasingly complex with growing teams

Why ML teams love Tecton

Tecton excels at the hard technical problems that ML teams face when deploying models to production:

• Feature Serving: Highly performant online feature serving at scale. Retrieve features, embeddings, and prompts in real-time at <5 ms at 100K requests per second.
• Time Window Aggregations: Calculate features over any time window (minutes to years) with millisecond latency, even at massive scale. Want to compute "average transaction amount over the last 7 days" for millions of users? Tecton handles this seamlessly.
• Real-time and Streaming Feature Computation: Write feature logic once and Tecton executes it consistently both in real-time for predictions and offline for training. No more duplicate logic between training and serving.
• Managed Infrastructure: Focus on building features, not infrastructure. Tecton handles all the complex data infrastructure needed for feature computation and serving - from stream processing to online stores to monitoring. Built-in optimizations like autoscaling and managed caching ensure cost-effective performance without the operational overhead.
• Historical Backfills: Need to generate historical feature values for a new feature? Tecton automatically handles point-in-time correct backfills, saving you from writing complex data processing logic.
• Training Data Generation: Automatically generate training datasets that perfectly match your production features, eliminating the common problem of training-serving skew.

Who uses Tecton?

Companies like Atlassian, Block, and Plaid use Tecton to power their AI applications. Whether you're building a fraud or risk detection system, a recommendation engine, or a chatbot, Tecton helps you move from prototype to production faster and more reliably.

Ready to get started?

→ Take our 10-minute Quickstart tutorial

→ Take an Interactive Tour

→ Read about core concepts

→ Dive in and start developing features