AI Evals
The quality gate for AI agents, built into your Agent Development Lifecycle.
- AI Quality & Reliability
Bring teams, models, knowledge and systems together around the work
Enterprise AI Platform
AI Intelligence & Models
AI Assistant & Productivity
Agent Platform & Orchestration
//Incidents
Reduce MTTR by connecting alerts, changes, and human insight with AI.
Documentation
An automatic incident record across Slack, Zoom & Teams, with zero manual note-taking.
Root cause
Deploys, flags, infra & monitors correlated in seconds to surface root cause instantly.
Remediation
ServiceNow → Jira → GitHub → rollback → investigate in one chain. One-click remediation.
//Overview
AI incident response uses AI to shorten time to resolution: it correlates alerts with recent changes, suggests the likely root cause, runs approved runbooks and documents the incident as it happens.
DataObserve Developer's incident tooling connects alerts, changes and human insight. An AI Scribe records the timeline, AI root cause analysis points to the change behind the problem, and automation runbooks carry out approved fixes.
//What changes
Responders start with ownership, recent changes, similar incidents, blast radius, and a starting hypothesis.
Logs, metrics, changes, ownership, and past incidents in one place at alert time.
On-call has enough context to act without paging the service owner.
Timeline, decisions, and action items captured during the incident.
Recurring patterns are easier to spot, so teams fix the root cause.
Related alerts grouped into real incidents: fewer pages for the same problem.
//Explore more withDataObserve
The quality gate for AI agents, built into your Agent Development Lifecycle.
Agents predict where resilience will break, recommend the fix, and generate the test that proves it.
The runtime management platform.
The Software Delivery Knowledge Graph gives AI agents a continuously updated, relationship-aware model of your delivery environment, so automation aligns with reality.
//FAQs
What is AI SRE?
AI applied to reliability: monitoring, incident response, and operational tasks, automated and improved.
Do we need to replace our tools?
No. It connects to the alerting, observability, and ticketing tools you run. Start with one service and expand.
Can it replace PagerDuty or Opsgenie?
On-call covers scheduling and escalation, and imports your setup from PagerDuty, Opsgenie, or xMatters.
What is MTTR?
Mean time to resolve (MTTR) is the average time from an incident starting to it being fixed. Correlating alerts with changes is one of the fastest ways to bring it down.
Does it write postmortems?
Yes. The AI Scribe captures the timeline, decisions and actions during the incident and drafts the postmortem from them.
// Designed for enterprises
Review security, data handling and deployment requirements with our team.
Keep sensitive information within your organization’s approved data boundaries.
Define who can access connected data and which actions require approval.
Plan deployment around your infrastructure and operational requirements.
