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Self-learning AI SRE agent that maps your stack into a knowledge graph to speed incident response and root-cause analysis.
Full-stack observability platform with an AI SRE agent that detects, debugs, and auto-fixes issues across infra, apps, and users.
AI-powered web accessibility platform for ADA/WCAG compliance, blending automated remediation with expert services.
Continuously analyzes MySQL, MariaDB, and PostgreSQL workloads to recommend and safely apply configuration and query fixes.
Free trial available
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Free trial available
Free trial available
- ✦Cross-tool knowledge graph of your stack
- ✦Automated incident investigation and RCA
- ✦Alert correlation and blast-radius tracing
- ✦Runbook/knowledge grounding with cited sources
- ✦80+ integrations across cloud, code, telemetry
- ✦Self-hosted/VPC option, SOC 2 Type II
- ✦Infrastructure and application performance monitoring
- ✦Log monitoring with AI insights
- ✦Real user monitoring
- ✦OpsAI SRE agent for detection and auto-fix
- ✦Synthetic and browser testing
- ✦LLM observability
- ✦accessWidget automated AI remediation
- ✦accessScan accessibility auditing
- ✦accessFlow for accessible code
- ✦Screen-reader and keyboard-navigation support
- ✦Expert audits, VPAT and litigation support
- ✦CMS integrations
- ✦Workload-based configuration tuning
- ✦SQL query analytics and optimization suggestions
- ✦Schema optimization (duplicate/unused index detection)
- ✦24/7 automated health and security monitoring
- ✦One-command agent installation
- ✦Human approval required before applying changes
- →Faster incident response and RCA
- →Reducing MTTR for on-call teams
- →Automating remediation and runbooks
- →Cutting alert noise and tab-hopping
- →Monitor full-stack app and infra health
- →Debug incidents faster with AI
- →Correlate frontend and backend issues
- →Observe Kubernetes and cloud environments
- →Achieving ADA/WCAG compliance
- →Reducing accessibility litigation risk
- →Ongoing accessibility monitoring
- →Enterprise-scale accessibility programs
- →Database teams reducing manual tuning workload
- →Hosting providers optimizing customer databases at scale
- →Engineering teams without a dedicated DBA fixing performance issues
- →AWS RDS users tuning managed database instances