Tecton, the leading machine learning (ML) feature platform company, has announced a partnership with Google Cloud to enhance their ML feature platform. This collaboration aims to provide Google Cloud users with access to the Tecton feature platform, which serves as the data foundation for predictive and generative AI applications. By leveraging Tecton’s platform, organizations can develop more accurate models at a faster pace and deploy them in production with enterprise-grade service levels.
Building high-quality predictions in ML models requires access to high-quality data signals, commonly known as ML features. However, the process of building and managing ML features is often challenging for ML teams. They struggle to develop and maintain complex data pipelines that transform batch, streaming, and real-time data into fresh ML features while ensuring scalability, latency, and reliability. Consequently, many ML models fail to reach the production stage, and even if they do, they often underperform and lack accuracy.
To address this issue, Tecton integrates closely with Google Cloud’s AI and data services, including Vertex AI, Kubernetes, TensorFlow, BigQuery, and DataProc. By leveraging these services, Tecton provides a seamless framework for building production-ready ML features. The integration automates the entire lifecycle of ML features, from defining and transforming features to serving them online and monitoring their performance across different types of data.
Benefits of Tecton on Google Cloud include accelerated time-to-value for data teams, improved ML model performance and reliability, and cost control. As a future-proof solution, Tecton’s feature platform meets the demands of real-time predictive and generative AI models.
Google Cloud’s Managing Director of Partnerships, Manvinder Singh, expressed excitement about the partnership, emphasizing how it enables customers to build ML applications more efficiently. Mike Del Balso, co-founder and CEO of Tecton, praised Google Cloud’s top-notch data and ML services and highlighted the joint solution’s ability to empower users to develop and deploy applications more effectively, particularly for real-time predictive ML and generative AI use cases.
Tecton is on a mission to make world-class ML accessible to every company. Its feature platform for ML empowers data scientists to transform raw data into production-ready features, which are essential for feeding ML models with predictive signals. Tecton’s team, which includes individuals with extensive experience at industry-leading companies such as Google, Facebook, Airbnb, and Uber, created the Uber Michelangelo ML platform. The company is backed by renowned investors such as Andreessen Horowitz, Bain Capital Ventures, Kleiner Perkins, Sequoia Capital, Tiger Global, Databricks, and Snowflake Ventures. As the main contributor and committer of Feast, the leading open-source feature store, Tecton is poised to further advance the field of ML feature engineering.
In summary, the partnership between Tecton and Google Cloud brings advanced ML feature engineering capabilities to Google Cloud users. By leveraging the Tecton feature platform and Google Cloud’s AI and data services, users can build and deploy high-performance ML applications more efficiently. This collaboration represents a significant step forward in accelerating the adoption of ML and making it more accessible across various industries.
