Site Reliability Engineers (SREs) and operations teams face significant toil due to manual incident investigation, siloed tools, and static runbooks. This leads to prolonged incident resolution times and inefficient use of expert talent, especially with the increasing complexity of modern, AI-driven applications.

Ciroos provides an AI SRE Teammate designed to automate operational tasks and reduce toil for SREs. This platform acts as an intelligent assistant, augmenting human expertise by autonomously analyzing data and investigating anomalies across multiple domains. By integrating with existing collaboration channels and telemetry sources, Ciroos delivers actionable insights and remediation recommendations, enabling faster, more efficient incident response and proactive operations. The system aims to shift the burden from constant firefighting to enabling SREs to focus on innovation and system evolution.

Multi-agentic AI system that reasons and acts like a human expert to diagnose operational issues.

Cross-domain data correlation capabilities to synthesize insights from diverse telemetry sources (e.g., cloud infrastructure, networking, security).

Autonomous anomaly detection and investigation, reducing the need for manual intervention.

Integrations with collaboration tools (e.g., Slack) and observability platforms for seamless data ingestion and insight delivery.

Extensible architecture supporting interoperability with third-party AI agents and adherence to protocols like Model Context Protocol and Agent2Agent (A2A).

Provides automated or augmented remediation recommendations to accelerate incident resolution.

Dynamic plan building and agent activation in response to alerts or user prompts.

User-controlled augmentation and autonomous operation settings to manage AI involvement.

The primary target audience includes Site Reliability Engineers (SREs), DevOps teams, and broader operations teams within enterprises that manage complex, multi-domain IT infrastructure.