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Enterprise AI has a production problem. Budgets are at record highs, and most initiatives still stall in pilots, because the foundation underneath was never built for them: fragmented infrastructure, unready data, tool sprawl, and teams too stretched to operate what they ship. Autonomous agents raise the bar further. Copilots suggest; agents act. They need standardized platforms, guardrails, and audit trails to act safely. EverOps exists for exactly this gap. We make AI actually run in production, from the infrastructure up. Since 2012 our forward-deployed TechPods, small senior teams embedded inside client organizations, have modernized cloud infrastructure, delivery pipelines, observability, security, and the systems companies run on, cloud to endpoint. We build the roads AI runs on, and the agents that operate them: incident response, deployment validation, cost optimization, identity and access, compliance. We bring proprietary tooling, agentic accelerators, and codified playbooks to every engagement, and we commit to outcomes, not hours. Start with a focused assessment, get a working outcome in weeks, then it's your call: take the keys with your team leveled up, or keep us on as a force multiplier. Clients who could send us home keep choosing not to. For companies running real production infrastructure at scale, from high-growth tech to large enterprises. Trusted by teams at Coinbase, Peloton, Snowflake, Zendesk, and Life360. Build faster. Spend smarter. Sleep better.

EverOps Questions

The EverOps annual revenue was $3 million in 2026.

Jose Mercado is the CTO of EverOps.

31 people are employed at EverOps.

EverOps is based in San Francisco, California.

The NAICS codes for EverOps are [5415, 541, 54, 541512, 54151].

The SIC codes for EverOps are [73, 737].

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