Aviz Networks expands AI networking software with new funding
Aviz Networks aims to enhance networking software to meet the changing needs of data centers and edge networks integrating Artificial Intelligence (AI). The company provides vendor-neutral Community SONiC solutions focused on improving network visibility and incorporating AI-based management, allowing enterprises to operate with greater flexibility and control.
Aviz Networks’ offerings support customers in managing hardware diversity while aiming to reduce operational expenses. The company’s solutions have been adopted across multiple enterprise IT environments including e-commerce, telecommunications, retail, GPU-as-a-service, and cloud services.
The Aviz AI Networking Stack is engineered to facilitate vendor-neutral network operations featuring orchestration, observability, real-time alerts, performance monitoring, and Remote Direct Memory Access (DMA) (RDMA) over Converged Ethernet networks. It enhances network visibility through components like Packet Brokers and Service Nodes. Additionally, it supports a vendor-agnostic data lake that powers an LLM-based AI assistant termed Network Copilot™, integrating with a wide range of ASICs, switches, GPUs, DPUs, and servers.
Aviz Networks planned to expand its reach by obtaining new investments aimed at supporting growth in existing markets and exploring additional application areas. The company’s approach relies on leveraging AI alongside robust network operating systems and comprehensive tooling to manage network infrastructure effectively.
Vishal Shukla, CEO of Aviz Networks, said, “Traditional networking solutions, even the best, struggle to adapt as infrastructure increasingly depends on AI and data-driven applications. A vendor-agnostic approach is crucial to advance networks to the next level. This strategy leverages top-tier networking hardware, a robust network operating system designed for AI, and end-to-end networking tooling that integrates AI directly into everyday networking. Aviz has perfected this approach, placing AI at the heart of how networks are built and managed. This funding round will boost our growth in current markets and allow us to explore new verticals, strengthening our commitment to innovation and excellence in an AI-driven era. We are excited to welcome new investors and deeply appreciate the ongoing support from our existing investors, partners & customers.” Louis Toth, Co-founder and Managing Partner at Alter Venture Partners, added, “Aviz is redefining what is possible in the networking space with its AI-driven, vendor-agnostic solutions. Alter’s investment in Aviz is a testament to our belief in the team’s vision to transform and ameliorate network management and operations. We are particularly impressed by the company’s technological differentiation and the strong partnerships its management team have forged with key ecosystem players to help the customers navigate this transition. The co-founders’ visionary approach not only sets Aviz apart in the industry but also aligns perfectly with our fund’s investment thesis of backing leading start-ups that are using AI to transform cloud and edge infrastructure.” Gavin Cato, Head of Portfolio Solutions and CTO at Celestica, said, “Aviz's innovative approach transforms how companies build and deploy network infrastructure for data centers and the edge, enabling them to evolve and integrate AI opportunities. We’re proud to collaborate with Aviz as they work towards achieving their vision.” Quinn Li, Senior Vice President at Qualcomm Technologies, Inc. and Global Head of Qualcomm Ventures, stated, “As networks evolve, embracing AI will be crucial for enabling superior performance and operational excellence. By integrating AI with open-source solutions like SONiC, Aviz Networks is empowering enterprises to build scalable and flexible networks in a cost-effective manner. We are excited to support Aviz Networks to transform enterprise networking.”
The recent funding will support Aviz Networks' efforts to advance its AI networking solutions and extend its presence in existing and new deployment environments.