Observe, an observability platform, was founded in 2017 in response to the changing nature of software observability. Companies have started pushing out newer versions of their software more frequently. So we created quite a lot of data.
Now, observation is addressing the latest major changes in technology: AI.
San Mateo-based Observe allows businesses to see the status of their software internally, making it easier for engineers to spot and resolve confusion and outages.
Recent advances in AI are both a blessing and burden for the company. Observe’s Observability products include an AI agent that allows customers to discover and fix issues faster. However, with advances in AI, companies are shipping their software faster than before, and therefore are looking at data balloons.
CEO Jeremy Burton told TechCrunch that the continued advancement in AI agents has made observability more complicated.
“In a few years, hundreds or even thousands of agents on the network will interact with employees and interact with each other,” Burton said. “It’s all great until something goes wrong. You need to give it a try, and you know, do Sherlock Holmes and figure out who did it?”
But observations are adapting to changing industries, Burton said. The company released a Model Context Protocol (MCP) server earlier this year, allowing developers to access observability data from AI coding tools and large-scale language models. He said this will help developers meet developers who are already working for them and help them to facilitate their tasks.
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“We already have customers who use MCP servers and are actually trying out pretty radical workflows,” Burton said. “They’re sitting in their development environment. ‘Hey, let’s take a look at this ticket. Observe, understand what’s going on, then explain what code you think is problematic, then suggest a fix.’ It would have been in the sci-fi realm a year ago. ”
The company is also working to support Apache Iceberg, an open source data table format that allows companies to own and standardize their own data. Burton said companies really like the approach and expect to be able to support the format by the end of the year.
The company’s revenue almost tripled in 2024, with gross revenues of 93% of its customers, but Burton refused to share certain numbers. The company counts large companies as its customers, including CapitalOne, Paramount and DialPad.
The Series C round led by Sutter Hill Ventures raised $156 million in the Series C round from strategic investors such as Madrona Ventures, Alumni Ventures and Snowflake.
The company will direct its capital towards research and development and employment. I would like to deploy a private preview of Apache Iceberg Support.
“We have some really good things out there, but we feel like we’re just starting out,” Burton said.
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