Redis Cloud and Redis Software

Redis is headquartered in San Francisco, grew from open source origins in 2011 and lists offices in London, San Jose, Austin, Tel Aviv, Sofia and Singapore. It provides the Redis in-memory data platform, used by more than 10,000 customers for caching, session stores, real-time leaderboards, messaging and, increasingly, AI applications that need fast access to context.

The platform is available as Redis Cloud, a managed service on AWS, Azure and GCP with Free, Essentials and Pro plans, and as Redis Software for on-premises and hybrid deployment, alongside Redis Open Source 8. Beyond key-value data structures it offers Redis Search and vector search, LangCache semantic caching for LLM calls, agent memory, Redis Data Integration to sync operational databases in real time, Feature Form for ML features and Redis Flex, which tiers warm data from RAM to flash. Named customers include Ulta Beauty, Sony LIV and Plivo.

• In-memory data platform: Key-value data structures held in RAM for very fast reads and writes.
• Redis Search and vector search: Real-time search and retrieval of context for AI models.
• LangCache: Fully managed semantic caching that reuses LLM answers for similar prompts.
• Agent memory: Stores short- and long-term memory so AI agents stay context-aware.
• Redis Data Integration: Syncs data from existing databases into Redis in real time.
• Redis Flex and active-active: Tiers data between RAM and flash and replicates across regions on Pro plans.

A Vietnamese e-commerce platform can keep carts, sessions and flash-sale inventory counters in Redis to handle peak traffic. A bank deploying an AI chatbot can use LangCache to answer repeated customer questions without calling the LLM each time. A streaming or media app can run real-time recommendations and leaderboards on Redis Cloud in a nearby Asian region.

Applications get very fast in-memory reads for sessions, carts, feeds and leaderboards, offloading primary databases. LangCache semantic caching is presented as cutting LLM costs by around 70 percent with 4x faster responses for cached queries. Redis Flex keeps multi-terabyte datasets at near-RAM speed with about 80 percent lower cost than all-RAM, and a free plan plus usage-based Essentials from about 5 USD per month lower the entry cost.

Real-time digital experiences and generative AI both depend on very fast access to fresh data, and LLM inference costs are pushing companies to cache and reuse answers. Southeast Asian e-commerce, gaming, streaming and fintech platforms with traffic spikes during sales events and live content rely heavily on in-memory layers to stay responsive.

Redis is headquartered in San Francisco and grew from open source origins in 2011; co-founders Ofer Bengal and Yiftach Shoolman serve as chairman and president. It reports more than 10,000 customers and has an Asian office in Singapore. Board members are affiliated with Bain Capital Ventures, GS Growth, Francisco Partners, Dell Technologies Capital and TCV.