WHY REDIS
For fifteen years Redis made apps fast. Now agents read memory, context, and cache on every single request, and fast stopped being a luxury.
WHY NOW
A web app read a cache a few times per page. An agent reads memory, retrieves context, checks a semantic cache, and writes state on every turn of every task, thousands of times a minute. The database work that used to sit behind a request now sits inside it.
Point solutions were never built for this. A vector store here, a memory API there, a cache from a third vendor: each adds its own network hop, SDK, auth path, and failure mode to a loop that runs at conversation speed. The requirement is new: one layer that does all of it, at memory speed, next to your app.
4+
CONTEXT READS PER AGENT TURN
<1 ms
THE BUDGET FOR EACH ONE
1
LAYER THAT SHOULD SERVE THEM
THE CASE
A five-vendor AI stack, and what the same job costs on one Redis layer instead. Quick totals first, the line-by-line breakdown below.
STITCHED TOGETHER
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PER MONTH, ILLUSTRATIVE
ONE PLATFORM
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PER MONTH, ILLUSTRATIVE
FIGURES ILLUSTRATIVE OF A TYPICAL 5-SERVICE STACK · PENDING COMPETITIVE REVIEW · NAMED COMPARISONS IN COMPARE →
EARNED, NOT CLAIMED
The platform is new. The layer underneath it is the most battle-tested piece of infrastructure in your stack, and we are the people who build it.
FIGURES ILLUSTRATIVE · PENDING BENCHMARK REVIEW
IN PRODUCTION AT Vodafone Verizon Gap Inc. Ulta Beauty Asurion Deutsche Börse
THE HARD QUESTIONS
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Free tier, no card, the whole platform on day one.