Resolve AI Achieves Unicorn Status with $125M Series A Funding for AI-Powered SRE Automation

04.02.2026
Resolve AI Achieves Unicorn Status with $125M Series A Funding for AI-Powered SRE Automation

Resolve AI, an emerging player in the AI-driven Site Reliability Engineering (SRE) automation space, has officially announced the closure of a $125 million Series A funding round at a $1 billion valuation. The startup specializes in automating incident response and system failure troubleshooting through artificial intelligence.

The funding round was led by Lightspeed Venture Partners, with continued support from existing investors including:

• Greylock Partners
• Unusual Ventures
• Artisanal Ventures
• A*

This announcement validates previous industry reports from December regarding the company's unicorn valuation trajectory. Initial speculation suggested the round might have included multiple tranches at varying price points, potentially resulting in a blended valuation below the $1 billion threshold. However, a company spokesperson has categorically denied this structure, confirming that 100% of the equity was purchased at the $1 billion valuation.

Resolve AI was co-founded in early 2024 by Spiros Xanthos and Mayank Agarwal, both former Splunk executives with a proven track record in the observability and monitoring space. Their previous venture, Omnition, was successfully acquired by Splunk in 2019, demonstrating their domain expertise in enterprise infrastructure management.

The company operates within the rapidly emerging AI SRE category, which leverages machine learning and artificial intelligence to identify, diagnose, and remediate production system outages with minimal human intervention. Resolve AI faces competition from other well-funded startups in this space, including Sequoia-backed Traversal, as enterprises increasingly seek to reduce mean time to resolution (MTTR) and operational overhead through intelligent automation.

The substantial Series A raise positions Resolve AI to accelerate product development, expand its engineering team, and scale go-to-market operations as demand for autonomous incident management solutions continues to grow across cloud-native and hybrid infrastructure environments.

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