Netris Raises $15M Series A to Scale AI Network Automation

Netris has raised a $15 million Series A financing led by Andreessen Horowitz (a16z), providing new capital to expand its network automation platform for AI infrastructure. The funding round was led by Guido Appenzeller, who joins the company’s board. Andreessen Horowitz partners Martin Casado and Raghu Raghuram also participated in the investment. Netris said the funding follows 800% annual recurring revenue (ARR) growth over the past 12 months and deployment of its platform across more than 35 production AI clusters worldwide.

The Santa Clara-based company positions its NAAM (Network Automation, Abstraction, and Multi-Tenancy) platform as a purpose-built control layer for modern GPU infrastructure. Unlike traditional SDN or intent-based networking platforms that primarily target enterprise or cloud data centers, Netris focuses on coordinating multiple networking fabrics—including Ethernet, NVIDIA Spectrum-X, NVIDIA Quantum InfiniBand, NVL72 fabrics, NVIDIA BlueField DPUs, and virtual networking—from a single operational platform. The company says the software automates provisioning, lifecycle management, and hardware-enforced tenant isolation, enabling AI cloud operators to provision GPU infrastructure more quickly while securely sharing expensive GPU resources among multiple customers.

Netris said its customer base now includes more than 35 production deployments spanning neocloud providers, sovereign AI operators, AI factories, and enterprise AI infrastructure providers. Named customers include Lightning AI, TensorWave, STN, Boost Run, TELUS, DCAI, YOTTA, Visionbay.ai, Firmus, and HPE. The company also highlighted an expanding ecosystem anchored by NVIDIA alongside Mirantis, Rafay Systems, Red Hat, Spectro Cloud, vCluster, and HPE. Netris said it will use the new funding to expand its engineering organization, global operations, and partner ecosystem as demand for GPU infrastructure continues to accelerate.

• Raised $15 million Series A led by Andreessen Horowitz (a16z)
• Guido Appenzeller joins the Netris Board of Directors
• Reported 800% ARR growth over the past year
• More than 35 production AI cluster deployments worldwide
• Focuses on network automation, abstraction, and hardware-enforced multi-tenancy
• Supports Ethernet, NVIDIA Spectrum-X, Quantum InfiniBand, NVL72, BlueField DPUs, virtual and edge networking
• Targets neoclouds, sovereign AI providers, AI factories, and enterprise GPU clouds
• Platform provides Day-0 design, simulation, deployment, and ongoing operations
• Global operations span the U.S., UK, Taiwan, Australia, Armenia, India, with Singapore expansion planned
• Funding will support engineering growth, international expansion, and ecosystem development

“Every era of computing has needed a new networking foundation — first for the virtualized data center, then for the cloud, and now for AI. GPU clusters run across many fabrics at once, and legacy automation was never built for that. Netris is the platform AI cloud operators standardize on to solve it, and we are excited to partner with them on this journey,” said Guido Appenzeller, Partner at Andreessen Horowitz.

🌐 Analysis

Network automation has emerged as one of the more difficult operational challenges for AI infrastructure. While much industry attention focuses on GPUs, interconnect silicon, and optical networking, operators increasingly face the complexity of managing heterogeneous network fabrics spanning Ethernet, InfiniBand, DPUs, and specialized scale-up networks. Netris is positioning itself as an orchestration layer that abstracts these diverse fabrics into a unified operational model rather than replacing existing network operating systems or switching hardware.

The Andreessen Horowitz investment also carries strategic significance beyond the funding amount. Martin Casado, Guido Appenzeller, and Raghu Raghuram helped define software-defined networking through Nicira, NSX, and VMware, technologies that transformed virtualized data center networking over the past decade. Their backing suggests they see GPU network automation as the next major networking software category as AI cloud operators scale increasingly complex multi-tenant GPU environments.