Observe Closes $156 Million Series C

<p><span class&equals;"legendSpanClass"><span class&equals;"xn-location"><strong>SAN MATEO<&sol;strong> <&sol;span><&sol;span>&&num;8212&semi; Observe Inc&period;&comma; an AI-powered observability company&comma; has closed <span class&equals;"xn-money">&dollar;156 million<&sol;span> in a Series C funding round led by Sutter Hill Ventures with participation from Madrona Ventures&comma; Alumni Ventures&comma; Snowflake Ventures and Capital One Ventures&period;<&sol;p>&NewLine;<p>Over the past year&comma; Observe says it has tripled its revenue and doubled its enterprise customer base&comma; achieving an industry-leading net revenue retention of 180&percnt;&period; During this time&comma; monthly active users have also tripled as the platform processed over 150 petabytes of telemetry data&period; Observe has experienced rapid adoption by large enterprises and modern SaaS and AI-native companies&comma; as they seek to replace traditional tools like Splunk&comma; Datadog&comma; and Elasticsearch due to rising costs and increasing complexity at scale&period; Its modern architecture combines a cost-effective data lake with a powerful knowledge graph and AI-driven workflows&comma; enabling developers to troubleshoot faster and more affordably&period;<&sol;p>&NewLine;<p>&&num;8220&semi;During a period of explosive growth at Tekion&comma; we realized our existing observability tools weren&&num;8217&semi;t going to scale with us&period; We had tried major commercial and open-source tools&comma; but both resulted in escalating costs and constant tuning efforts that drained engineering resources&period; Observe gave us a cost-effective unified platform for logs&comma; metrics&comma; and traces&comma; with the ability to correlate across all of them&period; That visibility has been critical to maintaining service reliability while scaling aggressively&comma;&&num;8221&semi; said <span class&equals;"xn-person">Binu Mathew<&sol;span>&comma; CTO at Tekion&period; &&num;8220&semi;More than a vendor&comma; Observe has been a trusted partner&comma; consistently helping us evolve our observability strategy to keep pace with our growth&period;&&num;8221&semi;<&sol;p>&NewLine;<p>Observe&&num;8217&semi;s growth has been driven by three trends&colon;<&sol;p>&NewLine;<ol type&equals;"1">&NewLine;<li><b>The data lake is now home base&comma; <&sol;b>and enterprises are moving their telemetry data to the lake for scalability and cost-efficiency&period;<&sol;li>&NewLine;<li><b>Context is the new bottleneck&period; <&sol;b>In modern&comma; distributed environments&comma; collecting data isn&&num;8217&semi;t the challenge&semi; connecting it is&period;<&sol;li>&NewLine;<li><b>AI is changing the troubleshooting workflow<&sol;b>&comma; helping teams diagnose and fix root causes faster&period;<&sol;li>&NewLine;<&sol;ol>&NewLine;<p>&&num;8220&semi;Observe is transforming how we approach software observability at Topgolf and Toptracer&period; The game changers have been the cost-efficient ingestion and the ability to tie telemetry data to a resource model that reflects our architecture&comma;&&num;8221&semi; said Dennis Bragfeldt&comma; Chief Architect at Topgolf&period; &&num;8220&semi;Observe takes pride in their technology foundation&comma; and rightfully so&period;&&num;8221&semi;<&sol;p>&NewLine;<p>Observe&&num;8217&semi;s platform consists of three core components&colon;<&sol;p>&NewLine;<ul >&NewLine;<li><b>O11y Data Lake<&sol;b>&colon; A highly scalable&comma; low-cost data lake optimized for observability that streams logs&comma; metrics&comma; traces&comma; and events in real-time&comma; using open standards like OpenTelemetry and Apache Iceberg&period;<&sol;li>&NewLine;<li><b>O11y Knowledge Graph<&sol;b>&colon; A real-time contextual model of the user&&num;8217&semi;s entire system&comma; mapping services&comma; resources&comma; users&comma; incidents&comma; and deployments&period;<&sol;li>&NewLine;<li><b>O11y <span class&equals;"xn-person">AI SRE<&sol;span><&sol;b>&colon; Agentic AI that doesn&&num;8217&semi;t just detect issues&comma; but starts with generating better instrumentation&comma; assisting complex troubleshooting and closing the loop&period;<&sol;li>&NewLine;<&sol;ul>&NewLine;<p>&&num;8220&semi;Our customers rely on us to unify data from hundreds of sources&comma; which demands a highly scalable and efficient infrastructure&period; Observe&&num;8217&semi;s data lake-based architecture allows us to scale observability much more easily and cost-effectively than traditional solutions&&num;8221&semi;&comma; said <span class&equals;"xn-person">Andrew Katz<&sol;span>&comma; CTO &amp&semi; Co-Founder at mParticle&period;<&sol;p>&NewLine;

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