Sovereign Intelligence at the Edge. Without Compromise.
svran.ai delivers a next-generation distributed AI infrastructure powered by a network of Distributed Processing Units (DPUs), purpose built to provide sovereign control over data, models, and decision flows with ultra low-latency performance. Our architecture brings intelligence directly to the environments where immediacy and autonomy are non-negotiable.
What svran.ai enables
AI is now embedded into physical systems, networks, and high-value operational workflows. svran.ai provides the distributed foundation required to make that intelligence instant, governed, and dependable.
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Sovereign Control
A deployment model built around localized execution. Data, models, and decisioning remain under the clear authority of the organization—aligned with governance, compliance, and internal security requirements.
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Ultra Low Latency
DPUs positioned within or near operational environments dramatically reduce round-trip inference times, enabling real-time AI for telecom networks, enterprise systems, industrial processes, and time-sensitive decisioning.
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Hardened Security
Distributed architecture with built-in isolation and protection for sensitive or regulated workloads, minimizing attack surface and elevating trust in edge-executed intelligence.
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High Reliability
Consistent, deterministic performance across a distributed DPU network. AI infrastructure that behaves like essential utility-grade compute, with predictable availability across environments.
Our direction is shaped by collaborative initiatives with global leaders in connectivity and accelerated computing, helping define how distributed AI infrastructure should operate at scale.
Who we serve
svran.ai supports organizations that require AI to perform consistently and authoritatively across diverse physical and network contexts:
Mobile network operators looking to optimize RAN performance, reduce latency, and unlock new AI enabled services at the edge
Enterprises and operators demanding ultra low-latency intelligence
Organizations that require sovereign, localized control of data and compute
Operators managing distributed environments across cities, facilities, or networks
Teams seeking alternatives to centralized, opaque cloud AI architectures
Leaders who want transparent, collaborative infrastructure partners