Tecton.ai is a startup that operates in the machine learning (ML) and artificial intelligence (AI) market. It provides a platform that simplifies the management of ML features, which are individual measurable properties or characteristics used in ML models. Tecton's platform allows users to discover, use, monitor, and govern end-to-end feature pipelines. This means that anyone on the team can find and use existing features, while also keeping an eye on the associated data pipelines, serving latencies, processing costs, and underlying systems of their ML applications.

Tecton's platform also allows users to design and define ML features using Python, SQL or Spark in a notebook or any other Python environment. This includes executing complex data transformations like time-window aggregations or generating training data with accurate backfills. Time-window aggregations are calculations performed over a specific time period, like the average number of user transactions over the last 7 and 30 days. Backfills are a way to fill in missing or null data points in a data set with actual or estimated data.

Tecton's platform also supports streaming in near real-time. This means that it can process and analyze data as it comes in, without any significant delay. For example, it can calculate the mean transaction amount over the last 5 minutes, 7 days, and 10 years, and update this information every 5 minutes.

Tecton's clients are likely to be companies that use ML and AI in their operations, such as tech companies, financial institutions, and e-commerce businesses. The company makes money by charging these clients for using its platform.

Keywords: Machine Learning, Artificial Intelligence, Feature Management, Data Pipelines, Python, SQL, Spark, Time-Window Aggregations, Real-Time Streaming, Backfills.