Resolve.ai
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About
Resolve.ai is an autonomous Site Reliability Engineering (SRE) platform designed to manage the complexities of modern production environments. It functions as an intelligent member of an engineering team's on-call rotation, specifically built to handle the detect-to-resolve lifecycle. By integrating deeply with a company’s code, infrastructure, and telemetry data, the tool aims to reduce Mean Time to Resolution (MTTR) and alleviate the heavy cognitive load often placed on human engineers during system outages or performance degradations. The platform operates by autonomously investigating alerts the moment they trigger in systems like Slack, using production context to provide actionable insights rather than just more noise. The platform operates by pursuing multiple hypotheses in parallel, validating each against real-time evidence such as logs, metrics, and traces. Unlike basic monitoring tools, Resolve AI does not just surface problems; it works toward solutions by executing remediation actions. This includes generating Git Pull Requests, kubectl commands, or remediation scripts tailored to the specific environment. It also helps capture tribal knowledge by allowing teams to ask precise questions about services and infrastructure during active incidents or development, effectively acting as an interactive documentation layer for the entire system. This tool is primarily built for DevOps, SRE, and platform engineering teams at high-growth or enterprise companies where production uptime is critical. It is particularly valuable for organizations managing complex microservices architectures where war rooms and extensive on-call rotations are common. Engineering leaders looking to protect revenue and maintain developer productivity—similar to the teams at DoorDash or Coinbase—will find the tool’s ability to handle multi-hop incident investigations especially beneficial. Because it integrates with OpenTelemetry standards, it is suitable for teams already invested in modern observability practices. What sets Resolve.ai apart is its pedigree and deep technical foundation, having been founded by the co-creators of OpenTelemetry. The tool is built on a standard-first approach to data and emphasizes enterprise-grade security with SOC 2 Type II compliance. It ensures that customer data is never used to train external models and stays scoped to the individual organization. Its ability to provide 24/7 autonomous debugging with production context allows it to act as more than just a chatbot; it is a functional agent that performs actual engineering tasks in real-time.
Pros & Cons
Reduces incident investigation time by up to 87% for major tech teams.
Founded by OpenTelemetry co-creators with significant expertise in observability.
Validates multiple hypotheses in parallel against real-time system evidence.
Supports stringent enterprise compliance including GDPR and HIPAA.
Integrates directly into Slack for seamless team collaboration during outages.
Public pricing information is not available without a demo or sales contact.
Maximum value is primarily realized in highly complex microservices environments.
Use Cases
On-call SREs can use the tool to autonomously triage alerts, allowing them to skip manual log analysis and focus on remediation.
Engineering managers can reduce the number of staff required in war rooms by using AI to handle initial incident discovery.
New developers can use the interactive debugging feature to ask questions about system architecture and infrastructure without hunting through docs.
Platform engineering teams can automate the creation of post-mortems and remediation scripts to standardize reliability workflows.
DevOps teams can utilize the AI to optimize cloud costs by analyzing production context and infrastructure usage.
Platform
Features
• soc 2 type ii certified security
• autonomous incident investigation
• opentelemetry native integration
• post-mortem report generation
• interactive production debugging
• 24/7 on-call rotation participation
• automated remediation pr generation
• evidence-based root cause analysis
FAQs
How does Resolve AI help during on-call rotations?
It autonomously investigates alerts as they trigger in Slack, building initial theories and validating them against telemetry data before humans begin their investigation.
What kind of remediation actions can the tool take?
The AI can generate Git Pull Requests, kubectl commands, and remediation scripts that are specifically designed to work with your unique infrastructure setup.
Is my data used to train the AI models?
No, Resolve AI ensures that your data is customer-isolated and is never used to train models for other organizations.
What security certifications does Resolve AI have?
The platform is SOC 2 Type II certified and is compliant with GDPR and HIPAA standards for handling sensitive PII and PHI data.
How does the tool integrate with my existing tech stack?
Resolve AI works across your code, infrastructure, and telemetry, integrating with tools like Slack, Kubernetes, and OpenTelemetry-compliant observability platforms.
Pricing Plans
Enterprise
Unknown Price• Autonomous incident investigation
• Root cause analysis with evidence
• Remediation PRs and scripts
• On-call rotation participation
• SOC 2 Type II compliance
• SAML SSO and RBAC
• Custom integrations
• Data redaction and encryption
Job Opportunities
General Application
Reduce MTTR and eliminate on-call burnout with an AI SRE that autonomously investigates incidents, validates root causes, and drafts remediation PRs in minutes.
Other Requirements:
Are you able to work onsite at our office in San Francisco?
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Ratings & Reviews
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