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Redis, a U.S.-based data platform, is doubling down on India’s AI-driven growth, with new investments and product innovations aimed at accelerating enterprise adoption and scaling intelligent applications. During his visit to India, Rowan Trollope, Redis’ chief executive officer, sheds light on the company’s fast-track growth with the recent acquisition of real-time data platform Decodable, alongside the launch of LangCache, a semantic caching service designed to reduce latency and large language model (LLM) costs by up to 70%.
Speaking at a select media briefing on Wednesday, Trollope underscored India’s pivotal role in Redis’ global strategy. “India is not only a fast-growing market for Redis, it is helping shape the future of AI,” he said. “With one of the world’s largest startup ecosystems and millions of developers building intelligent applications, this is where Redis thrives.”
The acquisition of Decodable, a platform for real-time data pipelines, is expected to strengthen Redis’ position as a foundational infrastructure layer for AI systems. “The challenge today isn’t proving what language models can do—it’s about providing them the context and memory they need to act reliably,” Trollope explained. “Decodable’s capabilities will allow developers to transform data into actionable context, making it fast, accessible, and efficient.”
As part of its AI strategy, Redis also unveiled LangCache, a fully-managed semantic caching service currently in public preview. Designed for applications that depend on large language models (LLMs), LangCache stores and retrieves semantically similar queries, dramatically cutting latency and token usage.
This offering is expected to be a game-changer for India’s fast-growing developer community—estimated at over 17 million developers—where cost optimisation and scalability are crucial for AI-driven startups and enterprises alike.
According to him, the new solution will help firms reduce API costs for LLM-heavy applications by up to 70%. It will also lead to 15x faster response times on cache hits compared to live model inference and boost user experience with lower latency and consistent outputs.
Redis is also enhancing integrations with popular AI frameworks such as AutoGen and Cognee, while expanding support for agent memory through LangGraph. These updates aim to simplify developer workflows and reduce engineering overhead, enabling teams to leverage Redis’ scalable and persistent memory solutions without writing custom code.
Redis is ramping up its presence in India, with 75% of its engineering teams based in the country, to meet surging demand across digital, cloud, and data infrastructure markets, said Sameer Dhamane, Enterprise Sales Leader for BFSI (Banking, Financial Services, and Insurance) at Redis in India.
“We are focusing on segments such as BFSI, government, and digital-native businesses, supporting real-time transaction processing for hyperscale platforms in e-commerce and retail, as well as digital governance initiatives,” he said.
With India’s third-largest startup ecosystem and accelerating AI adoption, Redis is positioning itself as a core technology partner for organisations aiming to build next-generation applications. “Enterprises and startups here are embracing AI at unprecedented speed,” Trollope said. “Our focus is on giving them the tools they need to build more capable, responsive, and cost-effective systems.”
In May, Redis made a bold return to its open-source roots by offering Redis 8 under the AGPLv3 license, alongside its existing licensing models. The company described Redis 8 as its most advanced and high-performing version yet. While the move was welcomed by some, it also strained relationships with segments of the open-source community, posing challenges in rebuilding trust.
Despite this, Redis remains optimistic about its prospects in India. “We are deepening engagement with the local ecosystem—including OEMs, channel partners, and developers,” said Dhamane.
“As AI scales from experimentation to widespread adoption, our investments in infrastructure and developer experience in India will play a pivotal role in this transformation,” he added.
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