Resolve AI builds an autonomous AI site reliability engineering (SRE) platform that investigates incidents, root-causes failures, and helps operate complex production software systems. The company targets one of the hardest unsolved problems in enterprise software: keeping large, distributed production environments reliable. Its system combines custom AI models, production-specific agents, and deep systems expertise to troubleshoot issues in minutes rather than hours.
Resolve AI was founded in 2023 by Spiros Xanthos and Mayank Agarwal, observability veterans who co-created OpenTelemetry, the widely adopted open-source standard for telemetry data, and previously led Splunk's observability business with prior exits to Splunk and VMware. The company emerged from stealth in late 2024 and rapidly built an enterprise customer base.
The platform autonomously correlates signals across telemetry, logs, and system context to identify likely root causes during incidents and can suggest or execute remediations. Resolve AI also launched Resolve AI Labs, led by a chief AI scientist with a background in large-model post-training, to build domain-specific models tailored to production operations rather than relying solely on general-purpose models.
Resolve AI reports enterprise customers including Coinbase, DoorDash, MongoDB, MSCI, Salesforce, and Zscaler. In funding, the company raised a $125 million Series A in early 2026 at a roughly $1 billion valuation led by Lightspeed Venture Partners, with existing investors including Greylock Partners participating, bringing total funding above $150 million within roughly 16 months of emerging from stealth. A subsequent Series A extension further increased its valuation.
Because autonomous production operations tooling acts on critical systems, organizations evaluating Resolve AI should assess guardrails around automated remediation, integration with existing observability stacks, and how the platform fits incident-response and change-management processes.