Resolve AI Inc., a startup with a platform that helps companies fix issues in their technology infrastructure, has reportedly raised funding at a $1 billion valuation.
News on Friday cited sources as saying that the Series A investment had a “multi-tranched structure.” That means some shares were sold at a valuation lower than $1 billion. Lightspeed is believed to have led the deal with participation from several other investors.
The report didn’t name the other participants in the round, but startup investments often include contributions from returning backers. Last year, Resolve AI raised $35 million in seed funding from Greylock, prominent artificial intelligence researcher Fei-Fei Li and Google DeepMind Chief Scientist Jeff Dean. The company’s two founders, Spiros Xanthos and Mayank Agarwal, also have strong credentials: They sold their previous startup to Splunk Inc. in 2019.
Resolve AI provides a platform that uses AI to help enterprises troubleshoot technical issues. It diagnoses malfunctions by analyzing the technical data that a company’s other systems collect about them. Resolve AI ingests information from cybersecurity tools, public cloud platforms, project management tools such as Jira and other sources.
The platform turns the raw data it collects into a knowledge graph. This is a diagram that shows what components make up a company’s infrastructure and how they interact with one another. According to Resolve AI, customers can customize how its platform uses the data it collects. For example, an engineer could instruct the AI to only use telemetry from a specific repository when it troubleshoots database outages.
When Resolve AI identifies an issue, it generates multiple hypotheses about what may have gone wrong. It then launches AI agents to investigate those possibilities. If a website goes offline, one agent can investigate whether the outage was caused by a distributed denial-of-service attack while another looks into the possibility of a faulty configuration change. While searching for the root cause of an incident, Resolve AI also collects other information. For example, it can review support tickets to determine an outage’s impact on customers.
After Resolve AI completes the analysis, it generates an incident timeline that explains what went wrong and how. It also displays troubleshooting suggestions. If the platform determines that an outage was caused by an faulty configuration change, it might output a configuration script capable of reverting the update.
The platform also lends itself to other tasks. According to the company, it can help engineering teams find opportunities to boost application performance and lower infrastructure costs. Newly hired administrators can use the software to familiarize themselves with their company’s systems.
Resolve AI is one of several startups that are using AI to automate manual troubleshooting tasks. Its funding round comes a few months after a competitor, Wild Moose Inc., raised $7 million from a consortium that included Y Combinator.
Photo: Unsplash
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