Resolve AI: Building AI Agents for Production Operations
Resolve AI develops specialized AI agents that help engineering teams investigate incidents, troubleshoot failures, and operate complex software systems. Its platform connects information from code, infrastructure, deployments, and monitoring tools to help teams understand and resolve production problems.
Visit resolve.ai ↗Basic Information
| Company Name | Resolve AI |
| Category | Enterprise AI / Infrastructure |
| Subcategory | AI Site Reliability Engineering and Production Operations |
| Founded | 2024 |
| Headquarters | San Francisco, California, United States |
| Founder and CEO | Spiros Xanthos |
| Co-founder and CTO | Mayank Agarwal |
| Latest Announced Funding | $40 million Series A extension, April 2026 |
| Total Funding | More than $190 million reported in April 2026 |
| Reported Valuation | $1.5 billion, April 2026 |
| Extension Investors | DST Global and Salesforce Ventures |
| Earlier Investors | Lightspeed Venture Partners, Greylock, Unusual Ventures, Artisanal Ventures and A* |
| Website | resolve.ai |
What Resolve AI Does
Resolve AI focuses on operating software after deployment. Its agents investigate alerts and incidents, connect evidence across engineering systems, identify possible root causes, and help engineers decide how to resolve problems affecting production applications.
Key Capabilities
- Automated investigation of production incidents
- Reasoning across code, logs, metrics and traces
- Context from deployments and infrastructure
- Root-cause analysis and remediation recommendations
- Support for operational workflows and incident response
- Integrations with Slack, Microsoft Teams and terminal workflows
Why It Matters
Production failures can involve multiple services, recent deployments, databases, and infrastructure changes. Engineers often need to gather evidence from many disconnected tools. Resolve AI aims to reduce this manual investigation work and help teams restore service more quickly.
Resolve AI at Scale
Valuation announced alongside the $40 million Series A extension in April 2026.
Coinbase reported a reduction in time to investigate critical incidents, as described in Resolve AI’s company announcement. This is a customer-reported result, not a general performance guarantee.
Zscaler reported a reduction in the number of engineers needed per incident, according to Resolve AI. The result reflects a specific customer deployment.
Business Model and Market Opportunity
Enterprise Software
Resolve AI targets organizations operating complex, business-critical software systems. Its value proposition is to reduce operational workload and help engineering teams respond to production problems with greater speed and context.
AI Site Reliability Engineering
Site reliability engineering involves keeping services available, performing well, and recovering from failures. Resolve AI applies agentic systems to incident diagnosis and other tasks traditionally handled by engineers and SRE teams.
Production-Specific Intelligence
The platform draws on information from each organization’s own systems and operational history. This context can help agents reason about dependencies and behavior that general-purpose models may not know.
Enterprise Momentum
Enterprise Customers
Resolve AI has named Coinbase, DoorDash, MongoDB, MSCI, Salesforce and Zscaler among organizations using its platform to support production operations.
Resolve AI Labs
In April 2026, the company announced Resolve AI Labs to develop domain-specific models and agentic systems for complex production environments.
Human-in-the-Loop Operations
Resolve AI works alongside engineering teams through existing workflows. Its product direction includes deeper production reasoning and more automation, with enterprise controls for sensitive operational actions.
Funding Journey
Resolve AI emerged from stealth with a seed round led by Greylock, with participation from Unusual Ventures and angel investors.
Led by Lightspeed Venture Partners, with participation from existing investors. The company announced a $1 billion valuation and more than $150 million in total funding.
DST Global and Salesforce Ventures led the Series A extension at a reported $1.5 billion valuation.
Resolve AI reported more than $190 million in total funding following the extension.
Competitive Landscape
AI Coding Assistants
Coding assistants help developers write and modify code. Resolve AI focuses on the operational challenges that arise after code is deployed and running in production.
Observability Platforms
Observability products collect and present logs, metrics, and traces. Resolve AI aims to build on operational signals by using agents to investigate issues and recommend or support actions.
AI SRE
AI site reliability engineering is an emerging category focused on using AI to diagnose and address production problems. Accuracy, access controls, and safe execution are important considerations in this market.