Building the future of agentic software engineering and SRE
From the engineers behind OpenTelemetry, Splunk Observability, and DeepMind. Backed by AI pioneers and builders of Enterprise Software.
Used daily in the most complex production environments
Resolve AI is helping engineering teams reimagine work with a multi-agent AI SRE that triages alerts, investigates complex issues, and operates autonomously in the most demanding environments across clouds and regions.
On-call 24/7
AI SRE that is always debugging
Instantly goes on-call triaging and debugging incidents with full context across telemetry, infra, code, and tools.
5 minutes
to root cause with evidence
Multi hop incidents investigated autonomously with evidence in minutes not hours.
Single interface
for all of your productions systems
@Resolve to easily understand production complexity in seconds to build better, and ship faster.
From the creators of OpenTelemetry and Splunk Observability
100+ builders in San Francisco, creating the Agentic future of software engineering and SRE.
Creators of Observability Standards
Over two decades of building and standardizing global observability standards by co-creating OpenTelemetry and leading Splunk Observability.
AI Researchers from leading labs
Deep AI expertise with the minds behind Google DeepResearch, Gemini Agents, and more.
AI agents built for software engineering and SRE
Resolve AI is a coordinated multi-agent system that reasons, understands, acts, and learns across your entire production software stack for autonomous incident investigations, cost optimizations, and building software with production context
Builds Complete Production Context
Transforms scattered documentation, telemetry, and observability data into searchable, contextual memory.
Reasons through complexity
Formulates plans, tests hypotheses, surfaces root causes with evidence, and explains outcomes.
Uses tools like humans do
Uses production tools to propose or execute changes, like generating GitHub pull requests or adjusting service configurations.
Builds memories to continuously improve
Observes interactions, decisions, outcomes, and direct feedback to improve reasoning accuracy over time.
Backed by AI pioneers and builders of Enterprise Software
Leaders who didn’t just predict the AI and cloud revolutions, they architected them.
AI Visionaries

Prof. Stanford University; Co-Dir. Stanford Human-Centered AI Institute

Chief Scientist at Google, creator of TensorFlow

Founder, LinkedIn

CEO & Co-founder, Replit

VP of Engineering, OpenAI
Founders & CEOs

CEO, AWS

Former CEO, GitHub

Founder, Twilio

CEO, Snowflake

Founder & CEO, Ramp
VC Investors

Led by


Led by
$35M Seed led by Greylock
Their largest single seed investment ever.