Ciroos AI
Ciroos delivers an AI-powered Site Reliability Engineering (SRE) “teammate” built to reduce toil and streamline incident response. By proactively detecting anomalies, correlating cross-domain signals, and handling triage tasks autonomously, it accelerates root‑cause analysis and empowers teams to focus on building resilient systems.
FEATURES
Proactive anomaly detection and root-cause investigation
Multi-agent architecture simulating human expert reasoning
Built on Model Context Protocol (MCP) and Agent‑to‑Agent (A2A) frameworks for agent interoperability
Extensible—easily integrates with observability, ticketing, collaboration, code repositories, and incident-response tools
Human‑controlled autonomy—teams choose levels of AI augmentation
Multi-agent architecture simulating human expert reasoning
Built on Model Context Protocol (MCP) and Agent‑to‑Agent (A2A) frameworks for agent interoperability
Extensible—easily integrates with observability, ticketing, collaboration, code repositories, and incident-response tools
Human‑controlled autonomy—teams choose levels of AI augmentation
PRICING
FREE
Early access/demo program—contact via website (details not publicly disclosed)
INDIVIDUAL
Not specified
BUSINESS
Enterprise pricing—custom based on scale and integration needs
ENTERPRISE
Custom pricing for organizations, likely with SLAs, policy controls, and autonomous operations support
Early access/demo program—contact via website (details not publicly disclosed)
INDIVIDUAL
Not specified
BUSINESS
Enterprise pricing—custom based on scale and integration needs
ENTERPRISE
Custom pricing for organizations, likely with SLAs, policy controls, and autonomous operations support
GOOD FOR
PERSONAL
Site reliability engineers, DevOps practitioners suffering from alert fatigue, on‑call burnout, or inefficiencies in incident resolution
BUSINESS
Enterprise operations teams managing complex, multi-domain environments seeking faster RCA, less manual toil, and AI‑empowered workflows
Site reliability engineers, DevOps practitioners suffering from alert fatigue, on‑call burnout, or inefficiencies in incident resolution
BUSINESS
Enterprise operations teams managing complex, multi-domain environments seeking faster RCA, less manual toil, and AI‑empowered workflows
TECHSTACK
Multi-Agent Architecture
Uses a distributed multi-agent system to simulate human SRE expertise, enabling collaborative reasoning and decision-making.
Model Context Protocol (MCP)
Provides structured, context-aware interoperability between AI models, ensuring agents share relevant information efficiently.
Agent-to-Agent (A2A) Architecture
Supports direct communication and coordination between agents, allowing plug-and-play addition of custom or third-party AI agents.
Out-of-the-Box Connectors / Integrations
Ready-made integrations with observability platforms (Datadog, Splunk, New Relic), ticketing systems (Jira, ServiceNow), collaboration tools (Slack, Teams), code repositories (GitHub, GitLab), and incident management systems (PagerDuty, Opsgenie).
Semi-Autonomous Actions
Can trigger operational tasks like Git rollbacks, service restarts, scaling operations, and configuration changes, with automated remediation for pre-approved scenarios.
Human-in-the-Loop Control
Configurable levels of AI autonomy—ranging from decision support to full autopilot—allowing teams to retain oversight and governance.
Cloud-Native & API-First
Built for Kubernetes-native environments with REST and WebSocket APIs for custom integrations and automation workflows.
Security & Compliance Layer
Role-based access control, activity logging, and compliance-ready data handling for enterprise environments.
Uses a distributed multi-agent system to simulate human SRE expertise, enabling collaborative reasoning and decision-making.
Model Context Protocol (MCP)
Provides structured, context-aware interoperability between AI models, ensuring agents share relevant information efficiently.
Agent-to-Agent (A2A) Architecture
Supports direct communication and coordination between agents, allowing plug-and-play addition of custom or third-party AI agents.
Out-of-the-Box Connectors / Integrations
Ready-made integrations with observability platforms (Datadog, Splunk, New Relic), ticketing systems (Jira, ServiceNow), collaboration tools (Slack, Teams), code repositories (GitHub, GitLab), and incident management systems (PagerDuty, Opsgenie).
Semi-Autonomous Actions
Can trigger operational tasks like Git rollbacks, service restarts, scaling operations, and configuration changes, with automated remediation for pre-approved scenarios.
Human-in-the-Loop Control
Configurable levels of AI autonomy—ranging from decision support to full autopilot—allowing teams to retain oversight and governance.
Cloud-Native & API-First
Built for Kubernetes-native environments with REST and WebSocket APIs for custom integrations and automation workflows.
Security & Compliance Layer
Role-based access control, activity logging, and compliance-ready data handling for enterprise environments.
last update : August 9, 2025
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