As organizations accelerate their adoption of AI, many are challenged by the reality that the data required to power AI models often resides across multiple environments—on-premises systems, hybrid infrastructure, and multiple public clouds. Moving large datasets between these environments can introduce significant delays, increase costs, and slow the pace of innovation.

Vcinity’s technology addresses this challenge by enabling fast, secure access to distributed data over distance and latency, allowing organizations to feed AI workloads with the data they need—wherever that data resides.

“AI is only as powerful as the data behind it,” said Harry Carr, CEO of Vcinity. “Being recognized with a Pinnacle Award for AI in Hybrid and Multi-Cloud environments highlights the critical need for seamless data access across distributed infrastructures. At Vcinity, we’re focused on helping organizations connect the right data to the right compute, exactly when and where it’s needed.”

With Vcinity, enterprises can run compute against remote datasets—such as on-prem or in another cloud—while that data stays in place, or seamlessly move the data when needed, enabling AI models and analytics platforms to interact with distributed data as if it were local. These capabilities allow organizations to reduce storage and governance costs associated with copy sprawl, minimize costly transfers, and dramatically accelerate AI development cycles.

The Pinnacle Awards for AI recognize companies that are advancing the state of artificial intelligence across industries, with a focus on solutions that deliver measurable impact in modern data environments.

By simplifying how organizations access and utilize distributed data across hybrid and multi-cloud infrastructures, Vcinity helps enterprises unlock the full value of their data for AI initiatives, analytics, and high-performance workloads.

View the full list of winners here.