Resolve AI's meteoric rise reflects Silicon Valley's hunger for automation tools that promise to fix what keeps engineers up at night
On a Tuesday morning in early February, Resolve AI did something that would have seemed improbable even in venture capital's most frothy days: the 13-month-old startup announced it had raised $125 million at a $1 billion valuation. Not bad for a company that only emerged from stealth in late 2024.
The San Francisco-based firm builds AI agents designed to automate one of tech's most persistent headaches—DevOps incident response. When production systems fail at 3 a.m., Resolve's software promises to do what bleary-eyed engineers usually scramble to accomplish: triage the alert, investigate root causes, and ideally fix the problem before customers notice.
Lightspeed Venture Partners led the Series A round announced February 4, 2026, joined by Greylock Partners, Unusual Ventures, Artisanal Ventures, and A*. The deal brings total capital raised to somewhere north of $150 million—$160 million by Unusual's count—a sum that includes a $35 million seed round barely a year ago.
The Pedigree Play
Resolve's founders aren't exactly startup novices. Spiros Xanthos and Mayank Agarwal both came from Splunk, where Xanthos ran observability as general manager and senior vice president, while Agarwal served as chief architect for the same division. Before that, they were instrumental in creating OpenTelemetry through Omnition, a company Splunk acquired in 2019.
Xanthos's resume reaches further back: he co-founded Pattern Insight, whose Log Insight product VMware snapped up in 2012. That's the kind of track record that opens doors in Sand Hill Road conference rooms, particularly when you're pitching automation for a problem every engineering leader understands viscerally.
"Customer results showing more than 70 percent improvement in incident resolution" drove Lightspeed's Sebastian Duesterhoeft to lead the round, according to the firm's announcement. The metrics, if they hold up at scale, suggest Resolve might have found genuine product-market fit rather than just clever positioning.
The Customer Proof
The startup has assembled an impressive roster of early adopters. Coinbase, DoorDash, MongoDB, MSCI, Salesforce, and Zscaler all appear on Resolve's customer list—the kind of names that lend credibility in enterprise sales cycles.
At Coinbase, the crypto exchange reported a 72 percent reduction in investigation time for critical incidents. More than 100 engineers there now use the platform in over 250 weekly sessions, reaching probable root cause in under 10 minutes. For context, that's the difference between a minor blip and a customer-facing outage that trends on Twitter.
Zscaler's numbers tell a similar story: 75 percent faster root cause investigations and 30 percent fewer engineers required per incident. In an industry where engineering talent commands premium salaries and incidents drain productivity, those percentages translate to real money.
A Valuation Asterisk
Not everything about the round is straightforward, though. Resolve emphasized that investors purchased the entire equity stake at the full $1 billion valuation—what the company described as "non-blended." That clarification came in response to a December 2025 TechCrunch report suggesting the round included multiple tranches at different prices, which would have produced a blended valuation below $1 billion.
The company denied that structure outright. Whether the distinction matters depends on who's asking: founders care about headline numbers, while later investors scrutinize cap tables for hidden complexities.
An Emerging Category
Resolve operates in what TechCrunch has labeled "AI SRE"—artificial intelligence applied to site reliability engineering. The category barely existed two years ago; now it's attracting serious capital. Traversal, pursuing a similar approach to production operations, raised $48 million from Sequoia and Kleiner Perkins last June.
The underlying technology involves multi-agent AI systems that traverse code, infrastructure, and telemetry data. Resolve's platform integrates with AWS, Kubernetes, observability stacks, GitHub, and Slack—essentially plugging into the existing workflow engineers already use.
The company now employs more than 125 people and plans to deploy the fresh capital toward accelerating product development, expanding both engineering and go-to-market teams, and driving enterprise adoption. Standard playbook stuff for a company at this stage, perhaps, but the fundamentals—experienced founders, paying enterprise customers, measurable results—suggest something more substantial than vaporware.
Whether Resolve can maintain its trajectory as it scales remains the open question. Plenty of well-funded startups have stumbled between initial traction and sustained growth. But for now, at least, two Splunk veterans have managed to turn observability expertise into a unicorn faster than most thought possible.
The company's blog post and materials from participating venture firms provided details for this report.
