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Resolve AI

AI · San Francisco, United States · Founded 2024

Resolve AI provides an AI-powered platform for running and operating software in production environments. The company was founded in 2024 by Spiros Xanthos and Mayank Agarwal, who previously worked together at Splunk and co-created the open-source project OpenTelemetry. Their shared history extends back 20 years to their time in graduate school at the University of Illinois Urbana-Champaign, and they have collaborated on building multiple development and observability tools, leading to two prior company exits to VMware and Splunk. Resolve AI is pioneering a category referred to as "AI for prod," which utilizes a multi-agent AI system to autonomously manage software operations post-deployment. The platform acts as an "AI Production Engineer" by troubleshooting, diagnosing, and resolving production issues, aiming to reduce manual operational tasks for engineering teams. It integrates with common development and operations tools like AWS, Kubernetes, GitHub, and Slack to analyze telemetry data, source code, and cloud infrastructure. This allows the system to identify the root causes of incidents, suggest remediation actions, and handle operational tasks through natural language queries. The platform aims to autonomously resolve 80% of alerts without human intervention, thereby reducing mean time to resolution (MTTR). The company's business model targets enterprise clients, with notable customers including Coinbase, DoorDash, Salesforce, Zscaler, DataStax, and Blueground. Resolve AI secured $35 million in a seed round led by Greylock in 2024 and followed up with a $125 million Series A round in February 2026, led by Lightspeed Venture Partners, reaching a $1 billion valuation. This funding is intended to accelerate product development and expand its engineering and go-to-market teams. Keywords: AI for prod, production operations, software reliability, agentic AI, incident resolution, site reliability engineering, SRE, observability, autonomous operations, MTTR reduction, software maintenance, production systems, DevOps automation, telemetry data analysis, cloud infrastructure management, OpenTelemetry, incident investigation, production engineering, software operations

Valuation $1–2.5B
Revenue $1–10M
Headcount 100–500
Total funding $100–500M
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Investors

6 investors on Resolve AI's cap table

Sourced from Dealroom's funding history. Investor profile links are shown where available.

Seed 1 investor entered at this stage
Series A 5 investors entered at this stage

Global footprint

Where Resolve AI has talent and traffic

Workforce by country
🇺🇸 United States · San Francisco HQ
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Web traffic by country
72K monthly visits
across markets
🇺🇸 United States27.8%
🇮🇳 India15.8%
🇳🇬 Nigeria6.3%
🇬🇧 United Kingdom5.1%
🏳️ Korea4.2%
Top 5 markets shown

Talent graph

The shape of Resolve AI's talent

Dealroom maps Resolve AI's team person by person — pinpointing the standout operators and scoring them across the six dimensions investors underwrite. The counts and shape below are a public preview; the named individuals and exact scores live in the platform.

13 team members profilednamed & role-tagged by Dealroom
161 employeestotal headcount
2 executives & foundersidentified by name
DimensionScore
AI Talent Score hidden — book a demo
Engineering Score hidden — book a demo
Product Score hidden — book a demo
Go-to-market Score hidden — book a demo
Leadership Score hidden — book a demo
Research Score hidden — book a demo
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Source: Dealroom Talent Intelligence. Public profiles show counts and the team's shape only — request a demo for the named individuals, per-person seniority and tenure, and team benchmarks vs peers.

Market sentiment

What the market is saying about Resolve AI

An AI-synthesized read of the highest-engagement posts about Resolve AI on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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