Sieve

Sieve is an AI-native data infrastructure platform designed to manage, orchestrate, and scale unstructured data pipelines for machine learning and AI applications. It provides a unified environment to ingest, process, enrich, and route data such as text, audio, images, and video across multiple AI models and services. With Sieve, teams can define modular workflows that chain together model calls, custom logic, and post-processing steps, enabling complex AI-powered features to be built and maintained as reliable data pipelines rather than ad hoc scripts.

Key capabilities include support for multi-model orchestration, versioned workflows, and automatic scaling to handle production workloads. Sieve offers APIs and SDKs that integrate with existing applications, allowing developers to trigger pipelines, pass context, and retrieve structured outputs programmatically. It also provides monitoring and observability features so teams can track performance, model behavior, and data quality over time.