Ciroos
Ciroos is an AI-driven Site Reliability Engineering (SRE) teammate platform that transforms how SRE and operations teams handle incidents by using multi-agent AI to reduce toil, detect anomalies early, and accelerate investigations and remediation across complex, cross-domain environments. The Ciroos AI SRE Teammate integrates with existing telemetry, observability platforms, ticketing systems, collaboration tools, and cloud providers, and works in both automatic and human-prompted modes to proactively investigate alerts, correlate data across disparate systems, diagnose root causes, and provide actionable recommendations often before escalation is needed. Its AI agents dynamically build investigation plans, analyze evidence at scale with human-expert-like reasoning, and generate post-incident reports for continuous improvement. Ciroos’s cross-domain correlation capability enables it to identify issues that span infrastructure, networking, applications, and security domains.
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Cleric
Cleric is an autonomous AI Site Reliability Engineer (SRE) designed to manage, optimize, and heal software infrastructure without human intervention. It operates as an AI teammate, capable of investigating and diagnosing production issues by integrating with existing tools like Kubernetes, Datadog, Prometheus, and Slack. Cleric autonomously investigates alerts, handling routine work so engineers can focus on development. It checks systems concurrently, surfacing findings in minutes instead of the hours it takes to investigate manually. Cleric reasons through problems it’s never seen before by forming hypotheses, running real queries with their tools, and only sharing findings when confident. It levels up with every investigation, learning from real outcomes to real incidents. By Day 30, Cleric can autonomously handle 20–30% of the time spent on-call, allowing your team to focus on fixes rather than repetitive alert triage.
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StackPilot
StackPilot is an AI-powered oncall copilot that automates root cause analysis and bug fixes for software engineers. It integrates directly with observability tools like Datadog, Sentry, and PagerDuty to transform alerts into actionable fixes. The platform analyzes recent commits, logs, and stack traces to pinpoint faulty code, then generates pull requests with proposed solutions. Engineers only need to review and merge, significantly cutting resolution time from hours to an average of 15 minutes. StackPilot also captures investigative steps and converts them into reusable runbooks, improving incident response over time. With strong privacy measures—no code or logs stored—it ensures secure, real-time analysis for engineering teams.
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Traversal
Traversal is an ambient AI Site Reliability Engineering (SRE) agent that operates 24/7 to autonomously troubleshoot, fix, and even prevent production incidents. It parses logs, metrics, traces, and your codebase to narrow down root causes of errors or latency, surfacing the blast radius, key bottleneck services, and candidate root causes with supporting evidence within minutes. Powered by advances in causal machine learning, large language model reasoning, and AI agents, Traversal catches issues before alerts fire and resolves them automatically. Designed for critical infrastructure and complex organizations, it supports heterogeneous data, bring-your-own models, and optional on-premises deployment. Traversal connects easily to existing systems with read-only access, no agents or sidecars, and no writes to production, ensuring privacy and control over data. By integrating seamlessly into your observability stack, Traversal reduces time to resolution, minimizes downtime, and more.
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