Resolve.ai Overview
Resolve.ai introduces the concept of an Agentic AI Site Reliability Engineer (SRE), a sophisticated AI platform designed to autonomously manage and resolve production incidents. Created by the co-creators of OpenTelemetry, Resolve.ai aims to tackle the growing complexity of software systems and the resulting burnout faced by on-call engineers. It functions as an intelligent, 24/7 team member that handles alerts, performs deep root cause analysis, and troubleshoots complex issues, significantly accelerating engineering velocity and improving system reliability.
The platform is built to understand your entire production environment, integrating with your existing observability and communication tools. By applying human-like reasoning, it can investigate novel and recurring incidents, providing clear summaries, tested hypotheses, and supporting evidence before an engineer even needs to log in. This proactive approach dramatically reduces the manual toil associated with incident management, freeing up valuable engineering resources to focus on innovation and core product development.
How to use Resolve.ai
Integrating and utilizing Resolve.ai is a streamlined process designed for modern engineering teams:
- Integration: Connect Resolve.ai to your ecosystem of tools, including observability platforms (e.g., Datadog, Splunk), communication channels (e.g., Slack), and cloud infrastructure (e.g., AWS, GCP).
- Configuration: Add the Resolve.ai agent to your on-call rotations. It will begin monitoring and participating just like a human engineer.
- Automated Investigation: When an alert is triggered, Resolve.ai immediately starts its investigation. It queries logs, metrics, and traces, correlating data from various sources to understand the context of the issue.
- Hypothesis and Analysis: The AI generates and tests potential hypotheses for the incident's cause. It then delivers a concise summary, outlines the most likely root cause, and provides the evidence to back up its findings.
- Collaborative Resolution: Human engineers receive the AI-driven analysis, allowing them to bypass the tedious data-gathering phase. They can quickly validate the findings and implement the correct fix, drastically reducing resolution time.
- Post-Mortem Assistance: After the incident is resolved, Resolve.ai helps generate detailed post-mortems, capturing key events and learnings to prevent future occurrences and improve overall system resilience.
Core Features of Resolve.ai
- Autonomous Incident Investigation: Automatically investigates every alert, 24/7, without human intervention.
- Automated Root Cause Analysis (RCA): Uses advanced AI to pinpoint the root cause of both novel and repeat incidents.
- Hypothesis Generation and Testing: Intelligently forms and validates theories about system failures to guide the investigation.
- Dynamic Knowledge Graph: Builds a comprehensive understanding of your production environment, code, and tools to provide deep contextual awareness.
- Alert Fatigue Reduction: Autonomously handles common alerts and performs routine actions, reducing escalations and preventing engineer burnout.
- Enterprise-Grade Security: Operates with a security-first approach, never ingesting raw data (only metadata), requiring no write permissions, and ensuring data is never used to train models for other customers. It is designed to meet SOC 2 Type II compliance.
Use Cases for Resolve.ai
Resolve.ai is trusted by innovative companies like Blueground, DataStax, and Uni to enhance their operational excellence.
- DevOps & SRE Teams: Automate the entire on-call incident lifecycle to reduce MTTR by up to 80% and free up SREs for high-value proactive work.
- Large Enterprises: Standardize incident response across complex microservice architectures, democratizing expertise and reducing reliance on a few key engineers.
- High-Growth Companies: Scale operations and maintain high system reliability without proportionally increasing the size of the on-call engineering team.
Advantages of Resolve.ai
The primary advantage of Resolve.ai is its ability to transform incident management from a reactive, human-intensive process into an automated, AI-driven workflow.
- Dramatically Lower MTTR: Resolve incidents up to 5 times faster.
- Boost Engineering Productivity: Increase on-call engineering productivity by 75% by eliminating operational toil.
- Increase System Uptime: Proactively identify and resolve issues to ensure a more stable and reliable service.
- Reduce Engineer Burnout: Save up to 20 hours per on-call engineer per week, leading to better team morale and retention.
- Democratize Expertise: Encapsulate the knowledge of senior engineers within the AI, making every team member more effective during an incident.
Pricing and Plans
Resolve.ai offers enterprise-focused pricing tailored to the specific needs of each organization. Pricing information is not publicly available on the website. To get a custom quote and understand how the platform can fit your team, you are encouraged to book a demo or contact their sales team directly. Resolve.ai is also available for procurement through the AWS Marketplace.
Traffic
Latest traffic
Status
Monthly traffic trend
- 2025-9: 28.4K
- 2026-1: 74.1K
- 2026-2: 126.4K
- 2026-3: 93.4K
- 2026-4: 82.4K
- 2026-5: 84.0K
Geography
Top 5 countries / regions
- 🇺🇸United States59.6%
- 🇮🇳India23.7%
- 🇬🇧United Kingdom7.8%
- 🇳🇬Nigeria4.6%
- 🇧🇷Brazil4.3%
Traffic sources
| Source type | Percentage |
|---|---|
Direct | 79.9% |
Referral | 16.8% |
Email | 3.3% |
Top keywords
| Keyword | Cost per click |
|---|---|
| ai sre | $19.84 |
| resolve | $1.94 |
| resolve ai | $4.95 |
| resolveai | $0.00 |
| resolve ai funding | $11.01 |
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