Building the future of agentic software engineering and SRE
From the engineers behind OpenTelemetry 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 researchers from Google DeepMind
70+ 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 in Advanced Reinforcement Learning
Deep AI expertise with the minds behind Google DeepResearch and Gemini Agents.
AI SRE built for troubleshooting and running production software
Resolve AI is a coordinated multi-agent system that reasons, understands, acts, and learns across your entire production software stack. It's like having a fleet of seasoned engineers on-call 24/7.
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.
Backend by AI pioneers and builders of Enterprise Software
Leaders who didn’t just predict the AI and cloud revolutions — they architected them.
AI Visionaries
Fei-Fei Li
Professor, Stanford University; Co-Director, Stanford Human-Centered AI Institute
Angelo Marletta
Staff Software Engineer, Coinbase
Mandar Rahurkar
Director of Machine Learning, DoorDash
Bharath Gowda
Head of Marketing
Spiros Xanthos
Founder and CEO
Founders & CEOs
Mandar Rahurkar
Director of Machine Learning, DoorDash
Angelo Marletta
Staff Software Engineer, Coinbase
Bharath Gowda
Head of Marketing
Manveer Sahota
Product Marketing Manager
Kent Willis
Director of Engineering, Yelp
VC Investors
Led by
Saam Motamedi
Led by
John Vrionis
$35M Seed led by Greylock
Their largest single seed investment ever.
