ZEDEDA and SORBA.ai Partner to Accelerate Delivery of Low-Code AI Models at the Edge

Author photo: Chantal Polsonetti
ByChantal Polsonetti
Category:
Acquisition or Partnership

Getting AI models into production at the edge is hard. Building them, packaging them, and deploying them reliably across hundreds of distributed industrial sites, while keeping them secure and manageable, has traditionally required deep technical expertise and significant time investment.

ZEDEDA and SORBA.ai are making it faster and simpler for industrial organizations to go from AI idea to operational reality. SORBA.ai’s low-code AI/ML applications for predictive maintenance, process optimization, and operational analysis are now available directly through the ZEDEDA Edge Marketplace. This means customers can discover, deploy, and manage production-ready AI models across their edge infrastructure, whether that is a manufacturing floor, an oil and gas site, or a transportation network, without starting from scratch.

Benefits of the Joint ZEDEDA and SORBA.ai Approach

ZEDEDA delivers the infrastructure layer that enables applications to be deployed, managed, and secured across distributed environments. SORBA.ai provides AI/ML applications designed to address operational challenges across industries such as manufacturing, transportation, and energy.

Together, this approach is intended to enable customers to:

  • Deploy SORBA.ai applications within existing edge environments, allowing customers to extend their current edge deployments with AI capabilities.

  • Simplify how applications are deployed and managed.

  • Apply AI to operational use cases at the edge.

SORBA.ai’s models continuously monitor operational data to surface early warning signals, helping teams move from reactive repairs to proactive intervention. By analyzing real-time data, SORBA.ai identifies where processes can be streamlined, waste can be reduced, and throughput can be improved, without requiring data scientists on-site. SORBA.ai’s applications also evaluate operational trends and surface actionable insights, giving managers the visibility they need to make smarter decisions at scale.

Find out more about digital transformation at the industrial edge.

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