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Observe, Inc.

Category: AI in Analytics & BI

Observe is a SaaS observability platform that reinvents how machine-generated data is stored, managed, and analyzed. Observe, Inc. was founded in 2017. The company is led by Jeremy Burton. Based in San Mateo, California, United States. Team size: 201-500. Total funding raised: $393M. Latest round: Series C. Key investors include Sutter Hill Ventures, Madrona Ventures, Capital One Ventures, Snowflake Ventures, Alumni Ventures.

Founded
2017
Headquarters
San Mateo, California, United States
Team size
201-500
Total funding
$393M

Value proposition

Provides a single, unified platform to troubleshoot modern distributed applications faster and at a lower cost by leveraging a data lake architecture.

Products and solutions

["The Observability Cloud","Project Voyager with AI Investigator","Frontend Observability"]

Unique value

Observe's unique approach lies in its architecture. Instead of relying on traditional, siloed data stores for logs, metrics, and traces, it uses a single, consolidated data lake. This allows for more efficient data management and correlation, enabling users to ask more complex questions of their data.

Target customer

Developers, DevOps, and SREs (Site Reliability Engineers) responsible for troubleshooting and maintaining complex applications.

Industries served

["Software/SaaS","Financial Services","E-commerce","Telecommunications"]

Technology advantage

The core technological advantage is building their platform on top of Snowflake's cloud data platform. This allows Observe to handle massive volumes of data with high performance and scalability, without having to build and maintain its own data infrastructure. This also provides a significant time-to-market advantage and allows them to focus on innovation in the observability space.

How they differentiate

Observe differentiates itself by leveraging a modern data architecture built on top of the Snowflake Data Cloud. This allows them to handle massive volumes of machine-generated data more efficiently and cost-effectively than legacy competitors. Their core innovation is the 'O11y Data Graph,' which dynamically discovers relationships between datasets, enabling faster troubleshooting and root cause analysis. They also heavily focus on AI-powered features, such as AI Investigator and O11y AI SRE, to automate and simplify complex investigations.

Main competitors

["Datadog","Splunk","New Relic"]

Key partnerships

["Snowflake","Sutter Hill Ventures","Capital One Ventures","Madrona"]

Notable customers

["Capital One","Commonwealth Bank of Australia","Topgolf","Reveal"]

Major milestones

["Founded by Sutter Hill Ventures in 2017.","Launched its 'Hubble' observability platform.","Closed a $115 million Series B funding round in March 2024.","Introduced AI-powered observability features, including O11y AI SRE and AI Investigator.","Reached nearly 100 enterprise customers by late 2024."]

Growth metrics

As of September 2024, the company serves nearly 100 enterprise customers and has reported processing over 1 petabyte of data per day for a single customer.

Market positioning

Observe is positioned as a strong, well-funded challenger in the observability market, directly targeting established leaders like Splunk. They compete by offering a more modern, scalable, and cost-effective solution for large enterprises dealing with complex, distributed systems. Their deep integration with Snowflake gives them a unique position, especially for companies already within the Snowflake ecosystem.

Geographic focus

While Observe serves a global customer base, its primary market focus appears to be North America, with notable enterprise customers in the US and Australia. The company is headquartered in San Mateo, California.

Patents and IP

Observe has filed for 2 patents, though the specific details are not publicly available.

About Jeremy Burton

Veteran enterprise software executive. Formerly the Chief Marketing Officer at Dell Technologies and President of Products and Marketing at EMC. Also serves as a board member for Snowflake.

Official website: