CONSHOHOCKEN, PA — Boomi is expanding its push into enterprise artificial intelligence infrastructure through new partnerships with Red Hat and Couchbase, as companies race to move AI systems from pilot projects into large-scale operational deployment.
The company introduced a broader expansion of its Boomi Enterprise Platform alongside the partnerships, focusing on AI orchestration, governance, data integration, and infrastructure controls designed to address rising enterprise concerns around cost, compliance, and operational reliability.
The collaboration with Red Hat centers on creating an integrated platform for deploying so-called agentic AI systems — software agents capable of autonomously executing tasks across enterprise applications and workflows.
Boomi and Red Hat indicated the offering combines Boomi’s integration and orchestration tools with Red Hat’s hybrid cloud and AI infrastructure stack, allowing customers to run AI systems across public cloud, private cloud, and on-premises environments.
The companies are targeting a growing enterprise challenge: organizations increasingly face fragmented AI deployments spread across separate vendors for models, orchestration, governance, security, and infrastructure, a setup that can increase operational complexity and computing costs.
“Every enterprise leader I talk to is asking the same question: how do I get real AI ROI without losing control of my data, my security posture, or my budget?” Boomi Chief Executive Steve Lucas said.
Red Hat Chief Strategy and Operations Officer Mike Ferris described the partnership as an effort to help companies move AI systems from centralized experimentation into broader operational use without surrendering control over data or infrastructure.
Boomi also unveiled new platform capabilities aimed at governing AI agents, orchestrating AI-driven workflows, and managing enterprise data used by those systems.
The additions include orchestration tools for combining APIs, integrations, event streams, and AI agents; governance controls designed to monitor AI actions and costs; and infrastructure features allowing enterprises to run AI systems locally to reduce latency and maintain data sovereignty requirements.
The company is also expanding support for Model Context Protocol, or MCP, an emerging standard intended to help AI systems interact with enterprise software and data sources more consistently.
Separately, Boomi disclosed a partnership with Couchbase focused on improving how AI agents retrieve and retain enterprise data context in production environments.
The companies plan to combine Boomi’s AI governance and integration capabilities with Couchbase’s vector search and operational database technologies to help enterprises manage AI memory, retrieval, and real-time data access at scale.
The partnership reflects a broader industry shift as software vendors compete to position themselves as foundational infrastructure providers for enterprise AI deployment rather than standalone application vendors.
Analysts and enterprise technology firms increasingly view governance, orchestration, and data connectivity as major bottlenecks preventing companies from scaling AI beyond limited pilot programs.
“The market is rapidly shifting toward platforms that can support not just connectivity, but governed execution across AI-driven workflows,” Alexander Wurm, principal analyst at Nucleus Research, said.
Boomi reported that more than 90,000 AI agents are already running on its enterprise platform. The company said product availability timelines for some newly introduced capabilities may vary.
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