Resolve AI Secures $125 Million Series A Funding, Achieves Unicorn Status
Resolve AI, a pioneering startup specializing in automating system reliability engineering (SRE) tasks, has successfully closed a $125 million Series A funding round, elevating its valuation to $1 billion. This significant investment was spearheaded by Lightspeed Venture Partners, with continued support from existing investors such as Greylock Partners, Unusual Ventures, Artisanal Ventures, and A.
This funding announcement corroborates earlier reports from December 2025, which indicated that Resolve AI was in the process of securing investment at a billion-dollar valuation, led by Lightspeed. At that time, sources suggested the possibility of the funding being structured in multiple tranches at varying valuations, potentially resulting in a blended valuation below $1 billion. However, a spokesperson for Resolve AI has clarified that the entire equity was acquired at the $1 billion valuation, dismissing the notion of multiple tranches.
Founded in early 2024 by former Splunk executives Spiros Xanthos and Mayank Agarwal, Resolve AI aims to revolutionize the SRE landscape by automating the identification, diagnosis, and resolution of system failures. Xanthos and Agarwal previously co-founded Omnition, a startup acquired by Splunk in 2019, bringing a wealth of experience in observability and system performance to their new venture.
The emergence of AI-driven SRE solutions addresses a critical need in the tech industry. As software systems grow increasingly complex and distributed, maintaining system reliability becomes more challenging. Traditional SRE roles involve manual troubleshooting and resolution of system failures, a process that can be time-consuming and prone to human error. By leveraging artificial intelligence, Resolve AI seeks to automate these processes, enhancing efficiency and reducing downtime.
The AI SRE sector is witnessing growing interest and investment. Another notable player in this space is Traversal, a startup backed by Sequoia Capital, which also focuses on applying AI to detect and resolve system outages. The competition underscores the increasing recognition of AI’s potential to transform system reliability engineering.
Resolve AI’s successful funding round and attainment of unicorn status reflect investor confidence in the company’s vision and the broader market potential for AI-driven SRE solutions. As the company continues to develop and refine its technology, it is poised to play a pivotal role in shaping the future of system reliability engineering.
