Tecton has raised $100M in Series C funding, bringing its total funding to $160M, and is now positioned to help enterprises integrate real-time predictive applications into their everyday operations. The company's feature platform aims to support all capabilities of operational ML dataflow model, including management of training datasets, serving architectures, event logging, label and ground-truth management, compliance, and monitoring. Tecton has gained significant traction since its founding in 2019, with a five-fold increase in customer base and nearly three-fold growth in ARR over the past year. The company's product roadmap includes integrating with Snowflake, Redis, and Databricks, as well as releasing a managed online store and guided onboarding features to simplify the feature store experience for customers. With this funding, Tecton plans to continue its partnerships and integrations, aiming to make operational ML simpler, more reliable, and achievable for ML teams around the world.