Resolve.ai
Resolve.ai is an AI-powered Production Engineer that autonomously handles alerts, performs root cause analysis, and resolves incidents to make on-call operations stress-free while reducing Mean Time to Resolution (MTTR) by up to 80%.
https://www.resolve.ai/
Product Information
Updated:Feb 16, 2025
Resolve.ai Monthly Traffic Trends
Resolve.ai received 16.1k visits last month, demonstrating a Slight Decline of 0%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is Resolve.ai
Resolve.ai is a pioneering platform that serves as an AI Production Engineer, designed to automate software operations and incident management. Founded by Spiros Xanthos and Mayank Agarwal, the company has raised $35 million in seed funding led by Greylock. The platform addresses the complex challenges of modern production engineering by providing an intelligent system that can understand, troubleshoot, and resolve production issues autonomously. It's already being used in production by leading enterprises like DataStax, Rudderstack, Blueground, and Uni.
Key Features of Resolve.ai
Resolve.ai is an AI-powered production engineering platform that provides autonomous incident response and troubleshooting capabilities. It uses state-of-the-art agentic AI to automatically analyze alerts, perform root cause analysis, and resolve production issues, significantly reducing Mean Time to Resolution (MTTR) by up to 80%. The platform integrates with existing tools like AWS, Kubernetes, GitHub, and Slack, acting as a 24/7 AI production engineer that helps teams minimize operational toil and focus on innovation.
Autonomous Tool Integration: Seamlessly connects with existing production tools (AWS, Observability, Slack, GitHub) via API keys and operates them directly like a human engineer
Intelligent Alert Management: Responds to alerts within 1 minute, automatically assesses impact, isolates problems, and suggests remediation actions while reducing alert fatigue
Advanced Root Cause Analysis: Leverages AI to deeply understand system components and their dependencies, performing multi-step analysis and automated troubleshooting
Enterprise-Grade Security: Built with highest security standards (SOC2 Type2) and ensures customer data is never used to train models for other clients
Use Cases of Resolve.ai
Kubernetes Operations: Automates troubleshooting of Kubernetes issues by handling ephemeral pods, scattered logs, and noisy alerts while providing proactive investigation
Production Incident Response: Acts as a 24/7 on-call engineer to handle alerts, perform impact analysis, and resolve incidents before they affect business operations
DevOps Automation: Streamlines operational tasks by automatically updating runbooks, adjusting thresholds, and maintaining dashboards based on incident learnings
Pros
Significantly reduces MTTR by up to 80%
Saves up to 20 hours per week per on-call engineer
Quick setup with no training required
Enterprise-grade security compliance
Cons
Requires integration with existing tools and systems
May need initial configuration and fine-tuning for specific environments
How to Use Resolve.ai
1. Sign up and Integration: Book a demo through Resolve.ai's website and connect Resolve AI with your existing tools (AWS, Observability platforms, Slack, Github, etc.) via API keys
2. System Mapping: Allow Resolve AI to automatically map your production environment - it will build a knowledge graph of your system components and their dependencies without requiring manual training
3. Alert Configuration: Set up alert forwarding to Resolve AI so it can begin monitoring and responding to incidents automatically within 1 minute of detection
4. Impact Assessment: When an alert fires, Resolve AI will automatically assess the impact and isolate the problem area using its understanding of your system
5. Root Cause Analysis: The AI will analyze relevant data across tools, logs, and metrics to determine the root cause of issues
6. Remediation: Resolve AI will suggest or automatically implement remediation actions based on its analysis, using the appropriate tools just like a human engineer would
7. Post-Incident Review: Work with Resolve AI to create post-incident analysis reports and capture key learnings to prevent similar issues in the future
8. Ongoing Optimization: The system continuously learns from incidents to improve its response, adjust thresholds, update dashboards, and refine runbooks automatically
Resolve.ai FAQs
Resolve.ai is an AI Production Engineer that autonomously handles alerts, performs root cause analysis, resolves incidents and makes on-call stress free. It helps reduce Mean Time to Resolution (MTTR) by up to 80% and increases on-call developer productivity by 75%.
Official Posts
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Analytics of Resolve.ai Website
Resolve.ai Traffic & Rankings
16.1K
Monthly Visits
#1682562
Global Rank
#4218
Category Rank
Traffic Trends: Nov 2024-Jan 2025
Resolve.ai User Insights
00:00:35
Avg. Visit Duration
1.8
Pages Per Visit
55.47%
User Bounce Rate
Top Regions of Resolve.ai
US: 67.88%
IN: 9.86%
BR: 7.71%
KR: 4.25%
GB: 4.14%
Others: 6.16%
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