Tecton is a company that provides a machine learning (ML) feature platform to enable organizations to build, manage, and serve features for their ML models. Features are predictive signals that feed into ML models, and generating accurate features is crucial for delivering precise predictions. Tecton's platform automates the process of building features using real-time data sources, allowing companies to deploy real-time ML models faster with less data engineering effort.
The company's feature platform orchestrates data pipelines, stores feature values across training and deployment environments, monitors data pipelines, and retrieves historical features to train models in production. Tecton's technology originated from Michelangelo, an AI platform created by the founding team at Uber to support use cases like fraud detection, pricing, and ETA forecasting.
Tecton's platform targets machine learning applications benefiting from real-time inference, such as fraud detection, recommender systems, search, underwriting, personalization, and real-time pricing. These models perform better when making predictions using the most recent data. For instance, fraud detection models are significantly more accurate when utilizing user behavior data from just seconds prior.
As of 2022, Tecton had hundreds of active users, and its customer base had quintupled over the previous year. The company's gross margins exceeded 80%, and its annual recurring revenue tripled from 2021 to 2022.
In September 2024 the company launched a major platform expansion for enterprise LLM applications to enable AI teams to build reliable, high-performing systems by infusing LLMs with comprehensive, real-time contextual data.
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