Artificial Intelligence
Redis Acquires Featureform To Help Developers Deliver Real-Time Structured Data Into AI Agents
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Featureform’s powerful framework will add rich structured context to Redis’ fast vector search to deliver the right context to agents at the right time
SAN FRANCISCO, Oct. 09, 2025 (GLOBE NEWSWIRE) -- Redis today announced the acquisition of Featureform, a powerful framework for managing, defining, and orchestrating structured data signals. The acquisition helps Redis solve one of the most critical challenges developers face with production AI: getting structured data into models quickly, reliably, and with full observability.
AI agents need more than LLMs—they depend on real-time data, past interactions, and knowledge bases to deliver accurate results. Getting that context to models at the right time remains a persistent challenge in deploying AI apps and agents into production, and delivering an exceptional experience to users once in production. Redis makes it simple by serving as the real-time data platform developers trust to power AI agents with memory, knowledge, and structured data—now supercharged by the integration of Featureform.
Featureform will become a part of Redis’ feature store solution, complementing the fastest benchmarked vector database powered by Redis Query Engine, and the most advanced semantic caching service, Redis LangCache. Featureform will allow developers to:
- Define features as reusable, versioned pipelines
- Unify training and inference workflows across batch and streaming
- Maintain point-in-time correctness for offline model training
- Serve low-latency features using Redis in production
- Detect data drift and monitor changes to feature distributions
“Adding Featureform immediately allows Redis to serve more AI development use cases with speed and simplicity,” said Rowan Trollope, CEO of Redis. “By integrating Featureform’s powerful framework into our platform, we’re better enabling developers to deliver context to agents at exactly the right moment, so they reason, act, and interact accurately and intuitively.”
“In joining forces with Redis, we’re uniting the orchestration layer that serves contextual data to models and agents with the world’s leading real-time data platform,” said Simba Khadder, Featureform’s founder and CEO. “Together, we’re building the context engine for AI and agents, enabling developers to deliver the right data at the right time to power the next generation of intelligent systems.”
To learn more about Redis and Featureform or how it can support your AI use case, read our blog or get in touch with us.
About Redis
Redis is the world’s fastest data platform. From its open source origins in 2011 to becoming the #1 cited brand for caching solutions, Redis has helped more than 10,000 customers build, scale, and deploy the apps our world runs on. With multi-cloud and on-prem databases for caching, vector search, and more, Redis helps digital businesses set a new standard for app speed.
Located in San Francisco, Austin, London, and Tel Aviv, Redis is internationally recognized as the leader in building fast apps fast. Learn more at redis.io.
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Redis@launchsquad.com
Frequently Asked Questions
What problem does Featureform solve for Redis?
Featureform helps Redis solve the challenge of getting structured data into AI models quickly, reliably, and with full observability.
How will Featureform be integrated into Redis?
Featureform will become a part of Redis’ feature store solution, complementing the vector database and semantic caching service.
What are the key benefits of the Redis and Featureform integration?
The integration enables developers to define features as reusable pipelines, unify training and inference workflows, maintain point-in-time correctness, serve low-latency features, and detect data drift.
First published on Fri, Oct 10, 2025
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