{"id":140983,"date":"2025-09-05T10:59:40","date_gmt":"2025-09-05T10:59:40","guid":{"rendered":"https:\/\/www.secureitworld.com\/?post_type=news-post&p=140983"},"modified":"2025-09-05T11:01:38","modified_gmt":"2025-09-05T11:01:38","slug":"redis-to-acquire-real-time-data-platform-decodable","status":"publish","type":"news-post","link":"https:\/\/www.secureitworld.com\/news-post\/redis-to-acquire-real-time-data-platform-decodable\/","title":{"rendered":"Redis to Acquire Real-Time Data Platform Decodable; Expands Redis for AI to Deliver Context and Memory for AI Agents and Agentic Systems"},"content":{"rendered":"
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Decodable acquisition, managed semantic caching service, and other updates to Redis for AI strengthen Redis\u2019 capabilities as a real-time context engine for agentic systems<\/em><\/p>\n

SAN FRANCISCO (GLOBE NEWSWIRE) — Redis<\/u><\/a>, the world\u2019s fastest data platform, today announced a major expansion of its AI strategy at Redis Released 2025<\/u><\/a>.<\/p>\n

In his keynote, Redis CEO Rowan Trollope announced Redis\u2019 intention to acquire real-time data platform Decodable, the public preview of Redis\u2019 new LangCache service, and several other improvements to Redis for AI that make it easier for developers to build agents with reliable, persistent memory. Together, these moves accelerate Redis\u2019 evolution from the fastest in-memory data store to an essential infrastructure layer for AI, delivering the context and memory that intelligent agents depend on.<\/p>\n

\u201cAs AI enters its next phase, the challenge isn\u2019t proving what language models can do; it\u2019s giving them the context and memory to act with relevance and reliability,\u201d said Rowan Trollope, CEO of Redis. \u201cAs technology becomes ever more reliant on LLMs, the strategic investment we\u2019re making in Decodable\u2019s platform will make it easier for developers to build and expand data pipelines and convert that data into context within Redis, so it\u2019s fast and always available in the right place at the right time.\u201d<\/p>\n

Founded by data infrastructure veteran Eric Sammer, Decodable is a serverless platform that simplifies real-time data ingestion, transformation, and delivery. Its technology replaces weeks of custom pipeline engineering with a declarative service that scales automatically.<\/p>\n

\u201cJoining Redis allows us to take Decodable\u2019s vision further and get there faster,\u201d said Eric Sammer, founder and CEO of Decodable. \u201cTogether, we can give developers a seamless way to connect and act on their data in real time\u2014unlocking AI systems that are more capable, responsive, and deeply embedded in the workflows they serve.\u201d<\/p>\n

Redis also announced the public preview of LangCache<\/u><\/a>, a fully-managed semantic caching service which cuts the latency and token usage for LLM-dependent applications by as much as 70%, and announced several updates to its AI infrastructure tools, including hybrid search enhancements, integrations with agent frameworks for AutoGen and Cognee.<\/p>\n

LangCache public preview<\/strong><\/p>\n

LangCache is Redis\u2019 fully-managed semantic caching solution that stores and retrieves semantically similar calls to LLMs for chatbots and agents, saving roundtrip latency and drastically cutting token usage.<\/p>\n

The performance and cost improvements are substantial:<\/p>\n