Resolve AI Secures $125M Series A at Unicorn Valuation to Automate System Reliability Engineering

Resolve AI Closes $125M Series A Funding Round at Unicorn Valuation

Resolve AI has secured $125 million in Series A funding at a $1 billion valuation, confirming its status as the latest unicorn in the emerging AI SRE category1

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. Lightspeed Venture Partners led the round, with participation from Greylock Partners, Unusual Ventures, Artisanal Ventures, and A*2

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. The investment brings the company's total funding to over $150 million since its launch from stealth in late 20244

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AI Agents Transform How Companies Handle Software System Outages

Resolve AI automates system reliability engineering by deploying AI agents that monitor customer-facing systems and automatically resolve software problems2

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. The platform tackles a critical pain point: engineers at many companies spend as much as 80% of their time maintaining live software rather than building new features2

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. For companies like Salesforce, Coinbase, and DoorDash—where going offline even for a minute can be extremely costly—the startup's AI for prod solution serves as an AI site reliability engineer working alongside human teams4

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Proven Results in Reducing Costly Downtime and Incident Response

The platform's impact on automate application maintenance has been substantial across its 20-plus customers2

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. One client reduced the time to investigate critical incidents by 72%, while another saw a 30% reduction in the number of engineers required per incident4

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. The software identifies potential causes of malfunctions and creates AI agents to investigate each one in parallel, which is significantly faster than reviewing root causes sequentially3

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How the Platform Performs Root Cause Analysis and Fixes Issues

Resolve AI's platform collects technical data by integrating with monitoring applications, code repositories, cybersecurity software, and other information sources3

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. It assembles these data points into a regularly updated map of production environment components, tracking source code, connected databases, and underlying infrastructure2

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. When something breaks, the agents can find the issue's root cause and resolve it automatically, handling incident diagnosis, rollback decisions, capacity adjustments, configuration changes, infrastructure actions, and guided code changes4

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. The platform also identifies opportunities to reduce infrastructure costs and flags potential vulnerabilities before they cause problems3

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Experienced Founders Build on Previous Success at Splunk

Spiros Xanthos and Mayank Agarwal co-founded Resolve AI in early 2024 after leaving Splunk, the data platform Cisco Systems acquired in March 2024 for $28 billion2

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. The two former Splunk executives previously founded Omnition, which Splunk acquired in 20191

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. Their experience as developers who spent roughly 80% of their time maintaining tools already live with customers shaped their vision for the company2

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Strategic Plans for Proprietary AI Models and Market Expansion

Resolve AI plans to use the Series A funding to continue investing in proprietary AI models, accelerate its go-to-market strategy, and hire more engineers2

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. The startup currently employs some 120 people, including 14 from Google's DeepMind2

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. The company uses frontier AI models alongside its own in-house models to build its AI agents2

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. According to Xanthos, the focus areas include research and development to stay at the forefront of agent development and model training, product depth to expand integrations across the production stack, and customer success to support growing global enterprise deployments4

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Why Software Maintenance Matters More as AI Accelerates Code Generation

Sebastian Duesterhoeft, partner at Lightspeed Venture Partners, noted that the bottleneck in tech is no longer building software but maintaining it4

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. As AI accelerates how much software gets written through coding agents like Cursor or Claude Code, this challenge will intensify2

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. More code creates more complexity, more incidents, and slower progress—the exact problem Resolve AI addresses4

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. "The agent era will create far more software than any era before it," Xanthos stated. "The teams that win won't be the ones that write code the fastest. They'll be the ones who can run what they write, reliably and securely, at the same pace"4

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. The emerging AI SRE category also includes competitors like Sequoia-backed Traversal, signaling growing investor interest in applying AI to identify and resolve system outages1

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