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Observe Closes $156 Million Series C as Enterprises Shift to AI-Powered Observability at Scale 

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Observe Inc. has raised $156 million in Series C funding to expand its AI-powered observability platform, which helps enterprises.

Insider Brief

  • Observe Inc. has raised $156 million in Series C funding to expand its AI-powered observability platform, which helps enterprises manage and troubleshoot large-scale systems more efficiently.
  • The company tripled revenue and monthly active users over the past year, doubled its enterprise customer base, and achieved a 180% net revenue retention rate.
  • Observe’s growth is driven by demand for scalable, cost-effective data lake architectures, context-aware telemetry integration, and AI-enhanced troubleshooting workflows.

PRESS RELEASE — Observe Inc., the AI-powered observability company, today announced it has closed $156 million in a Series C funding round led by Sutter Hill Ventures with participation from Madrona Ventures, Alumni Ventures, Snowflake Ventures and Capital One Ventures. 

Over the past year, Observe has tripled its revenue and doubled its enterprise customer base, achieving an industry-leading net revenue retention of 180%. During this time, monthly active users have also tripled as the platform processed over 150 petabytes of telemetry data. Observe has experienced rapid adoption by large enterprises and modern SaaS and AI-native companies, as they seek to replace traditional tools like Splunk, Datadog, and Elasticsearch due to rising costs and increasing complexity at scale. Its modern architecture combines a cost-effective data lake with a powerful knowledge graph and AI-driven workflows, enabling developers to troubleshoot faster and more affordably. 

“During a period of explosive growth at Tekion, we realized our existing observability tools weren’t going to scale with us. We had tried major commercial and open-source tools, but both resulted in escalating costs and constant tuning efforts that drained engineering resources. Observe gave us a cost-effective unified platform for logs, metrics, and traces, with the ability to correlate across all of them. That visibility has been critical to maintaining service reliability while scaling aggressively,” said Binu Mathew, CTO at Tekion. “More than a vendor, Observe has been a trusted partner, consistently helping us evolve our observability strategy to keep pace with our growth.” 

Observe’s growth is driven by three trends: 

1. The data lake is now home base, and enterprises are moving their telemetry data to the lake for scalability and cost-efficiency. 

2. Context is the new bottleneck. In modern, distributed environments, collecting data isn’t the challenge; connecting it is. 

3. AI is changing the troubleshooting workflow, helping teams diagnose and fix root causes faster. 

“Observe is transforming how we approach software observability at Topgolf and Toptracer. The game changers have been the cost-efficient ingestion and the ability to tie telemetry data to a resource model that reflects our architecture,” said Dennis Bragfeldt, Chief Architect at Topgolf. “Observe takes pride in their technology foundation, and rightfully so.” 

Observe’s platform consists of three core components: 

  • O11y Data Lake™: A highly scalable, low-cost data lake optimized for observability that streams logs, metrics, traces, and events in real-time, using open standards like OpenTelemetry and Apache Iceberg. 
  • O11y Knowledge Graph™: A real-time contextual model of the user’s entire system, mapping services, resources, users, incidents, and deployments. 
  • O11y AI SRE™: Agentic AI that doesn’t just detect issues, but starts with generating better instrumentation, assisting complex troubleshooting and closing the loop. 

“Our customers rely on us to unify data from hundreds of sources, which demands a highly scalable and efficient infrastructure. Observe’s data lake-based architecture allows us to scale observability much more easily and cost-effectively than traditional solutions”, said Andrew Katz, CTO & Co-Founder at mParticle. 

“Observe was the only platform that could cost-effectively handle the scale and complexity of our log aggregation needs. At Dialpad, tracking call performance across our infrastructure is essential for delivering a seamless and reliable communications experience,” said Max Wardell, Sr. Engineering Manager at Dialpad. “With Observe, we can now correlate all aspects of a call in one view, allowing our teams to troubleshoot issues up to 30% faster.” 

“Observe gives us the visibility we need across our cloud environment, helping to reduce our mean time to resolution and operational costs, while enabling our security and infrastructure teams to stay ahead of potential issues,” said Oscar Papel, CISO at Truveta. 

“System resilience begins and ends with full-stack observability. It is foundational for AI, provides visibility into resource utilization and is part of the magic of powering personalized customer experiences,” said Sean Leach, Partner, Capital One Ventures. “Observe is executing on a bold vision for modern observability, and we’re continuing to invest to fuel their growth as they meet demand.” 

“Observe understood from the start that AI is only as powerful as the data behind it,” said Harsha Kapre, Director, Snowflake Ventures. “As AI reshapes the future of software development, Observe is uniquely positioned to help enterprises build more reliable agents and applications while containing costs at scale. This investment deepens our partnership and underscores our belief in their long-term vision.” 

With this Series C funding, Observe will continue investing in product development, AI innovation, and global hiring. As enterprises adapt to a new world where every system, service, and agent generates actionable data, Observe is emerging as the leader in AI-powered observability at cloud scale. 

Matt Swayne
About the author
Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Space Impulse since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses.

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