Decodable is a real-time data platform that simplifies streaming ingestion, transformation, and delivery for modern applications.
SAN FRANCISCO, CA: GrowthPoint is pleased and honored to have advised Decodable, a platform that makes it easier for developers to build and expand data pipelines in real-time, on its pending sale to Redis. The transaction underscores surging demand for real-time data pipelines that feed AI applications with timely, relevant context.
“As technology becomes ever more reliant on LLMs, the strategic investment we’re making in Decodable’s platform will make it easier for developers to build and expand data pipelines and convert that data into context within Redis, so it’s fast and always available in the right place at the right time,” said Rowan Trollope, CEO of Redis.
The acquisition aligns two leaders in real-time data—simplifying ingestion and transformation while ensuring context is available when and where it’s needed.
“Joining Redis allows us to take Decodable’s vision further and get there faster,” said Eric Sammer, founder and CEO of Decodable. “Together, we can give developers a seamless way to connect and act on their data in real time—unlocking AI systems that are more capable, responsive, and deeply embedded in the workflows they serve.”
“Decodable has been at the forefront of simplifying real-time data engineering. We’re thrilled to have supported the team on this strategic outcome and look forward to seeing the combined platform power the next generation of AI-driven applications,” said Nick DeRose, Managing Director of GrowthPoint Technology Partners
About Redis:
Redis is a real-time data platform used to build fast applications across cloud and on-prem environments. The Decodable acquisition and recent AI releases accelerate Redis’s evolution from the fastest in-memory data store to a foundational AI infrastructure layer, delivering the context and memory that intelligent agents depend on.
About Decodable
Decodable provides a fully managed, serverless platform—built on technologies including Apache Flink and Debezium—that enables teams to build and run real-time pipelines using SQL, Java, and Python with production-grade SLAs and compliance.
To read the formal press release, click here.