Side-by-side comparison of AI visibility scores, market position, and capabilities
San Mateo AI observability treating telemetry as structured data resources; $393M total ($145M Evolution Equity/Madrona Series B Sep 2024) from Sutter Hill Ventures founding with 50+ customers competing with Datadog for cloud-native observability.
Observe Inc. is a San Mateo, California-based AI-powered observability platform — backed with approximately $393 million in total funding including a $145 million Series B in September 2024 led by Evolution Equity Partners with Madrona Ventures, plus Sutter Hill Ventures' founding investment — providing enterprise engineering and operations teams with a cloud-native observability solution that treats telemetry data as a structured data problem, curating logs, metrics, and traces into typed "resources" (users, sessions, help desk tickets, software builds, and other business objects) that enable sophisticated root-cause analysis and cross-stack troubleshooting beyond what traditional observability tools provide. Serving 50+ customers including Upstart Financial, OpenGov, and TopGolf, Observe is led by CEO Jeremy Burton (former C-suite at Oracle, Symantec, EMC, and Dell) with co-founders from Splunk, Snowflake, Wavefront, and Roblox. Founded in 2017 (Sutter Hill Ventures company).
OpsLevel is a developer portal and service catalog for tracking service ownership, maturity scorecards, and production readiness across microservices.
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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