Meter builds full-stack network infrastructure—combining proprietary hardware, software, and managed operations—to displace legacy networking vendors like Cisco and Aruba. The tech stack reveals a hardware-first approach (NVIDIA H100, EVPN-VXLAN, 802.1X) paired with modern data and analytics layers (Kafka, ClickHouse, PostgreSQL, dbt), while the hiring shape is heavily sales-skewed (49 sales roles vs. 14 engineering), indicating a sales-led motion to land enterprise customers in a category with high switching costs and complex deployments.
Meter provides enterprise-grade network infrastructure designed to be faster, more secure, and more accessible than traditional networking stacks. Founded in 2015 and headquartered in San Francisco, the company operates a full-stack model—hardware, software, and managed operations—to serve businesses seeking modern alternatives to incumbent vendors. The product targets mid-market and enterprise customers navigating complex network deployments and legacy system constraints. Active projects focus on competitive displacement (reference architectures, integration guides, technical engines for vendor transition), partner enablement, and go-to-market refinement. The company is currently accelerating hiring, with a concentration in sales and business development roles across the US, India, UK, and Australia.
Meter's stack includes EVPN-VXLAN and 802.1X for network protocols, NVIDIA H100 for hardware acceleration, Kafka and ClickHouse for data pipelines, PostgreSQL for persistence, Python and Go for backend services, React and TypeScript for frontend, and AWS/Azure for cloud infrastructure.
Meter is replacing Cisco and Aruba as primary targets. The company's active projects include technical engines for legacy vendor transition and reference architectures designed to ease migration from incumbent solutions.
Meter's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.