Arena runs a crowd-sourced AI evaluation platform where users compare frontier model outputs to produce a public leaderboard. Its job posts point toward monetization: enterprise-grade infrastructure with SOC 2, a low-latency leaderboard API, and pricing and packaging work. A senior-heavy, engineering-led hiring push and adoption of Salesforce and ServiceNow suggest a research project formalizing into an enterprise vendor.
Arena, formerly LMArena, was started by UC Berkeley researchers. It is a community platform where builders, researchers and creative professionals use frontier AI models and rate their responses, and those ratings feed a public leaderboard. The company is headquartered in San Francisco, was founded in 2025, is privately held and has 51–200 employees. Its product stack includes Next.js, React, TypeScript, PostgreSQL and Supabase, and its ML and data work runs on Python, PyTorch and Apache Spark.
Arena builds with Next.js, React, TypeScript, Tailwind CSS, PostgreSQL and Supabase. It also runs Python, PyTorch, Spark, Go, Rust and Scala, integrates OpenAI and Anthropic models, and secures its environment with Okta, CrowdStrike and Cloudflare.
Yes. Arena's hiring is accelerating and led by senior engineering roles, with additional openings in data, security, HR, design, legal and product. All of its hiring is in the United States.
Arena is building enterprise-grade infrastructure with SOC 2 compliance, streaming response handling across model providers, and a low-latency API for its leaderboards. It is also working on pricing and packaging and on evaluation methodology.
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Arena'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.
