Enterprise data platform provider Solace has partnered with Japan-based SIOS Technology to help companies build real-time data infrastructure designed for artificial intelligence (AI) and increasingly autonomous agentic AI workloads.

Under the partnership, SIOS Technology will resell and support the Solace Platform as part of its API and AI Ecosystem Design Solution portfolio, the companies said in a statement. SIOS will provide support spanning architecture design, development and operations.

The companies are positioning the partnership around a problem facing enterprises that are adopting AI while operating across hybrid and multi-cloud environments. As data volumes and application connections increase, organizations need systems that can capture business events as they happen and move relevant data to applications and AI systems with low latency.

Solace said its platform connects applications, clouds and devices through real-time event-driven data flows. The company has also been expanding the platform around AI agent use cases, where autonomous systems may need current context from multiple enterprise systems before taking action.

Tsukasa Nihei, Executive Officer at SIOS Technology, said real-time movement of dynamic data is becoming more important as multi-cloud adoption and data demand make IT environments more complex. He said adding Solace to SIOS Technology’s portfolio is intended to support customers moving from legacy systems to modern environments and developing new digital services.

Yo Ohara, Japan Country Manager at Solace, said agentic AI creates a need for data platforms that can capture events in real time, evaluate them and support autonomous action. He added that SIOS Technology’s experience with open-source software and customer implementation would support the expansion of Solace’s platform in Japan.

Real-time data becomes part of the AI stack

The agreement comes as enterprise AI deployments increasingly move beyond standalone models toward systems that connect models with live business applications, operational data and automated workflows. That puts more pressure on integration layers to deliver current data reliably and with the governance needed for production environments.

TNGlobal previously explored this shift in a Solace contribution on moving agentic AI business applications from experimentation to production, which highlighted the role of event-driven infrastructure in connecting agents with enterprise systems and real-time data.