Akka, a leader in distributed systems infrastructure, has unveiled its Agentic AI Platform – a suite of new capabilities designed to simplify and scale the development of agentic AI systems across enterprise environments. With this release, Akka enables organizations to build, run, and evaluate intelligent, adaptive systems at triple the speed and one-third the compute cost compared to traditional methods.
The complexity of deploying agentic AI systems built on autonomous, goal-driven agents, has been a key obstacle to production-scale adoption. Akka’s latest offering aims to eliminate those challenges by introducing four integrated tools: Akka Orchestration, Akka Agents, Akka Memory, and Akka Streaming. These modules address the unique operational and behavioral demands of agentic systems, from real-time responsiveness to non-deterministic decision-making.
“Agentic systems are forcing IT leaders to rethink their technology stack,” said Tyler Jewell, CEO of Akka. “IT systems must adapt from controlling predefined workflows to managing intelligent, adaptive systems operating in open-ended environments… Akka is unique in that we’re bringing IT the tools to solve this issue at enterprise scale, with enterprise confidence.”
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Akka Orchestration offers robust workflows and agent governance, while Akka Agents enable the creation of autonomous components capable of reasoning and acting. Akka Memory delivers high-speed, in-memory data storage for agent context, and Akka Streaming supports real-time data flow from diverse sources including video, audio, and IoT devices.
Built for a wide range of agentic AI applications — from autonomous AI to transactional intelligence, the platform is already demonstrating value. Tubi praised Akka for transforming customer experiences in streaming, Swiggy reported doubling performance across its AI platform, and Llaama noted major time savings in infrastructure setup.
By bridging the operational gap for agentic AI, Akka is helping enterprises move beyond experimentation to deploy intelligent systems with confidence and efficiency.