Opsera vs OpsLevel
Side-by-side comparison of AI visibility scores, market position, and capabilities
Palo Alto DevSecOps orchestration platform at $51.3M raised ($20M Prosperity7 Series B 2025); Hummingbird AI autonomous agents Oct 2025 with 200% revenue growth serving Cisco/Honeywell/Sephora competing with GitLab for CI/CD.
About
Opsera is a Palo Alto, California-based AI-powered DevSecOps orchestration platform — having raised $51.3 million total including a $20 million Series B in 2025 led by Prosperity7 Ventures with Hitachi Ventures — providing enterprises with a no-code, continuous orchestration platform that automates and streamlines software delivery pipelines while embedding security and compliance across CI/CD workflows. Founded in January 2020 by co-founders Chandra Ranganathan and Kumar Chivukula (industry veterans who met at Symantec and later tackled DevOps automation challenges at Uber), Opsera has achieved 200% revenue growth since its $15 million Series A in April 2021. Enterprise customers including Cohesity, Cisco, Honeywell, Guardant Health, Qualys, Sephora, and Siemens rely on Opsera for complex DevSecOps workflows. In October 2025, Opsera unveiled the Hummingbird AI platform — introducing autonomous AI agents that dynamically analyze, adapt, and optimize software delivery in real-time, transforming DevOps telemetry into actionable intelligence. Opsera has won the Tech Ascension Award in DevOps and the 2025 CloudX Award for Cloud Application Platforms.
OpsLevel is a developer portal and service catalog for tracking service ownership, maturity scorecards, and production readiness across microservices.
About
OpsLevel is a developer portal platform that gives engineering organizations visibility into the services they operate, who owns them, and how mature they are relative to internal engineering standards. At its core, OpsLevel maintains a service catalog that maps every microservice, repository, and infrastructure component to a team owner, populating metadata automatically from integrations with GitHub, GitLab, PagerDuty, Datadog, and cloud providers. This catalog becomes the authoritative source of truth for answering questions like who to contact about a service, what tier of reliability it requires, and what dependencies it has — questions that are often unanswerable at engineering organizations that have grown past the point where everyone knows everything.
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