Systems of record capture events, not understanding. Fragmented IT operations data leads to reactive incident response and recurring system failures. Kosmos AI Labs delivers live, predictive intelligence for IT teams by unifying observability, monitoring, and incident data across the IT ecosystem, enabling continuous Root Cause Analysis to prevent incidents before they start.
Learn MoreThree Core Pillars
Kosmos applies an autonomous discovery model that solves the problem of fragmented data across the IT and business ecosystem. We believe Mean Time to Prevention (MTTP) - not MTTR - the real success metric.
Kosmos builds a living graph connecting every event—incidents, projects, customers—revealing true cause-and-effect relationships.
Every signal learns. Every intervention improves outcomes.
This is governed intelligence: logged, policy-checked, and outcome-tracked.
Kosmos unifies fragmented signal data across platforms like Jira, Salesforce, ServiceNow, PagerDuty, GitHub, DataDog, and more.
Five simple steps to eliminate recurring failures and enable proactive remediation
Integrates across the ITSM/SRE data stack—including Jira, Salesforce, ServiceNow, PagerDuty, GitHub, DataDog, and more.
Forecasts incidents, delays, and customer impacts before they occur.
Monitors live signals in real time to detect anomalies, patterns, and emerging risks.
Triggers human and AI workflows to prevent or resolve issues early.
Captures outcomes to continuously refine predictions and automation.
Analyzing incidents...
Analyzing
incidents
Indentyfing
patterns
Generating
recommendations
Our AI is analyzing your incidents to identify root causes and provide actionable recommendations
Chaos is bad for business. Join the movement.
Learn MoreTell us what you're working on — our team will help you understand how Kosmos fits your workflow.