A two-year-old startup just joined the unicorn club with a massive bet on AI-powered system reliability. Resolve AI confirmed it closed a $125 million Series A at a $1 billion valuation led by Lightspeed Venture Partners, marking one of the fastest paths to unicorn status in the emerging AI SRE category. The round validates a bold thesis that AI agents can automate the grueling work of troubleshooting system failures, a space where enterprises are desperate for solutions as their infrastructure grows increasingly complex.
Resolve AI just became the newest member of the billion-dollar startup club, and it got there faster than almost anyone expected. The company confirmed today it raised $125 million in Series A funding at a $1 billion valuation, with Lightspeed Venture Partners leading the round. Existing backers Greylock Partners, Unusual Ventures, Artisanal Ventures, and A* all participated in what's shaping up to be one of 2026's most closely watched enterprise AI deals.
The announcement confirms TechCrunch's December reporting that the startup was raising at unicorn valuation, though sources at the time suggested the round might include multiple tranches at different prices that could push the blended valuation below $1 billion. A Resolve spokesperson firmly denied that structure, stating that 100% of the equity was purchased at the $1 billion mark. That distinction matters in a funding environment where creative deal structures often mask softer valuations than the headline numbers suggest.
What Resolve is building has VCs opening their checkbooks at record speed. The startup automates the work of site reliability engineering, the specialized discipline of troubleshooting system failures before they cascade into full-blown outages. Anyone who's been woken up at 3 AM by a pager alert knows the pain point Resolve is attacking. As cloud infrastructure grows more complex and distributed systems multiply failure points, engineering teams are drowning in alerts and spending countless hours playing detective across logs, metrics, and traces.
