Tecton

Tecton builds a platform to help enterprise customers turn their raw data into production-ready features for business-critical use cases like fraud detection, risk scoring, and personalization. The company offers AI-Assisted ML Engineering, Feature Store, Feature Engineering, Time-Window Aggregations, Training Data Generation, Real-Time Serving, Embeddings Generation, Prompt Engineering, Fine-Tuning Datasets, Context Enrichment, Declarative Framework, Unified Compute, Retrieval System, and Context Registry. Tecton powers real-time decisions at scale with automated pipelines, ultra-low latency serving, and a declarative framework for defining features once in code. The company is trusted by top engineering teams and has been adopted by Fortune 100 companies for fraud detection, risk decisioning, credit scoring, and personalization use cases. Tecton operates with a remote-first culture but also offers hybrid options in San Francisco, New York City, and Seattle. Their mission is to enable teams to build AI applications in production by managing feature pipelines across development and production environments, supporting complex multi-stage compute graphs, and providing a unified compute engine called Rift built with Apache Arrow, DuckDB, and Ray. The company emphasizes fault isolation, dynamic latency-vs-completeness tuning, graceful degradation under load, and infrastructure cost optimization in their feature retrieval systems. Key innovations include online/offline consistency, ultra-low latency serving, and production-ready infrastructure with ISO 27001, SOC2 type 2, and PCI compliance for financial services industry (FSI) requirements. Tecton has achieved significant performance metrics, including sub-100ms p99 latency and 99.99% uptime at 100k+ QPS, while saving companies millions annually through fraud detection improvements and faster time-to-production for new features (cutting deployment time from months to days).