Resolve AI Hits Unicorn Valuation with Series A Led by Lightspeed

Resolve AI, the AI-driven production engineering startup co-founded by Spiros Xanthos and Mayank Agarwal, has closed a Series A funding round led by Lightspeed Venture Partners at a headline valuation of $1 billion. The financing marks one of the fastest transitions from seed to unicorn in the enterprise AI space, underscoring investor appetite for tools that automate software operations. 

Founded less than two years ago by executives with deep observability experience from Splunk, Resolve AI builds autonomous site reliability engineering (SRE) technology designed to handle the operational work that traditionally falls to human SRE teams. The platform ingests telemetry from logs, metrics and traces, and uses AI models to detect, diagnose and remediate production incidents in real time. This helps organizations reduce downtime and operational costs while freeing engineers from repetitive troubleshooting tasks. 

Before Resolve, Xanthos and Agarwal co-founded Omnition, a distributed tracing startup acquired by Splunk in 2019, and both held senior roles in Splunk’s observability business. Their prior work on observability tools and on building the OpenTelemetry project informs the technical foundation of Resolve’s product. 

Investors previously backed Resolve AI with a $35 million seed round led by Greylock, with participation from AI luminaries including Fei-Fei Li and Google DeepMind’s Jeff Dean, among others. That capital supported early product development and initial customer deployments before the Series A. 

The Series A round’s headline $1 billion valuation reflects strong confidence in the company’s trajectory, though the financing used a multi-tier structure that priced portions of the investment at different levels. Resolve AI’s current annual recurring revenue is reported to be about $4 million, illustrating how early-stage AI platforms can draw premium valuations based on growth potential and strategic position rather than near-term revenue alone. 

Resolve AI’s platform targets a visible gap in modern software engineering. As systems scale in complexity across cloud environments, enterprises struggle to staff enough skilled SREs to maintain uptime, resolve incidents and handle operational toil. By automating these functions, Resolve aims to shift engineering efforts to higher-value work and improve reliability across distributed systems. 

The company competes in a broader emerging category of autonomous operations tools; startups like Traversal have also raised significant capital to tackle analogous problems in AI-driven SRE. The pace of investment in this area highlights growing recognition that traditional monitoring and alerting solutions are insufficient for the demands of complex, cloud-native infrastructure. 

With the new funding, Resolve AI plans to accelerate product development, expand go-to-market efforts and deepen integrations with cloud and observability ecosystems. Under Spiros Xanthos’s leadership, the company is positioning itself to be a core component of software infrastructure in an AI-assisted future, where operational reliability can be maintained autonomously at scale.