Wild Moose Inc., a startup that helps developers fix issues in production applications, launched today with $7 million from investors.

The seed round was led by iAngels with contributions from Y Combinator, F2 Venture Capital and Maverick Ventures. Wild Moose says the venture capital firms were joined by a group of angel investors. The participants included Dropbox Inc. co-founder Arash Ferdowski and Joel Pobar, a researcher at Meta Platforms Inc.’s Superintelligence Labs unit.

Wild Moose has built a site reliability engineering, or SRE, platform that developers can use to troubleshoot application outages. It includes artificial intelligence features that automate several aspects of the workflow.

One of the challenges involved in fixing workload malfunctions is that the telemetry necessary for the task is often scattered across multiple observability tools. A company might, for example, use one tool to track application-level bugs and another to monitor the underlying hardware. Combining the data they generate and filtering duplicate items can be a time-consuming process. 

Wild Moose promises to streamline the task. According to the company, its platform can be connected to an organization’s observability tools in a few minutes via their application programming interfaces. From there, Wild Moose uses large language models to automatically find patterns in the data.

The platform analyzes recent changes to an application’s code along with logs and metrics. A log is a file that contains detailed information about a specific event such as a latency spike. Metrics are data points that describe how an application changes over time, which is useful for understanding how a technical issue evolves.

Wild Moose’s platform also reviews traces. A trace is a piece of data that developers input into an application to test its core components’ performance. Traces can measure the speed at which a given component processes requests, its latency and the frequency at which errors emerge. 

After identifying the root cause of an outage, Wild Moose can generate troubleshooting suggestions. It also creates automation playbooks, troubleshooting workflows that can be reused across incidents.

There are other tools on the market that enable software teams to develop automation workflows. According to Wild Moose, playbooks created using those tools are often outdated because application environments change frequently. Wild Moose addresses the challenge by automatically refreshing the playbooks it generates with new data collected from sources such as development teams’ Slack channels.

“Root cause analysis is one of the hardest problems in engineering, and in a critical workflow there’s no room for hallucinations or half-baked solutions,” said co-founder and Chief Executive Yasmin Dunsky. “Wild Moose leverages the benefits of AI without compromising the control that engineering teams need.”

The company claims that its platform is helping some customers reduce their mean time to resolution by up to 75%. Its installed base include Redis Inc., Lemonade Inc. and more than a half-dozen other tech firms. The company will use the capital to speed up its engineering and go-to-market efforts. 

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