Open-Source Data Layer for AI and ML

Featureform enables teams to define, manage, and serve high-quality data to both machine learning models and AI agents. By centralizing transformations, metadata, and governance, Featureform ensures real-time, secure, and scalable data access across your organization.

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Looking to learn more about Featureform's Feature Store for Predictive ML?

Featureform is a unified feature platform for ML and Agents and it turns your data infrastructure into a governed platform for serving high-quality features, whether powering ML models or enabling real-time access for AI agents. Built-in support for versioning, lineage, orchestration, and compliance makes it production-ready on day one.

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Agentic Enrichment: Unleash the Full Power of Agents with Your Data

Most agents today operate in isolation from your actual systems. They are limited to help center content, public docs, or vectorized summaries. But intelligence without access is useless. With Featureform, you can expose structured, secure, and governed access to your internal data through MCP, allowing agents to query production systems like Postgres, Redis, and Iceberg in real time, safely and with full context.

The Data Stack Behind Agentic Enrichment

Featureform abstracts your internal systems behind a real-time and secure semantic interface. The Semantic Engine maps raw data into structured entities like users and orders. The Serving Layer handles low-latency serving and materialization from sources like Redis, Postgres, and Iceberg. The Governance Layer enforces access control, user propagation, and audit logging, making agentic enrichment safe for production environments.

A breakdown of how Featureform's agentic enrichment platform works. There's an MCP endpoint that plugs into a governance layer. This enables secure access to a semantic engine and a serving layer.

Learn More About ML and Agentic Data Infrastructure

Explore the fundamentals of feature platforms, agentic enrichment, and how modern teams serve real-time data to models and LLMs. Our guides cover design patterns, architecture, and production best practices.

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