
Your team's toolkit to detect, analyze, and resolve production incidents with AI-powered root cause analysis. No more tool-hopping.
YoY Operational Expenditure
mean time to detect
AI-powered reliability
Watch how Overcast transforms incident management
Modern observability is broken. Here's how we fix it.
Every tool claims to have AI, but none of them talk to each other. Your logs are in Datadog, metrics in Grafana, traces in Jaeger, and errors in Sentry. When an incident happens, you're stuck manually correlating data across 5+ different dashboards.
Most "AI-powered" tools just detect anomalies and alert you. They don't understand how your services interact, can't correlate logs across microservices, and definitely can't tell you why your checkout flow broke when the payment service is fine.
Engineers spend 20-25% of their time on manual incident response tasks—gathering details, writing post-incident reports, updating stakeholders across Slack, Teams, and Google Docs. This repetitive work drains productivity and delays resolution.
Built by SREs, for SREs. Solving the real problems teams face in modern production environments.
Complete root cause analysis with evidence, timeline reconstruction, and confidence scoring. Not just anomaly detection—real answers.
Automatically correlates logs from multiple agents and systems into a single, coherent incident timeline showing exactly how failures propagate.
Identifies which code changes caused incidents with git blame, PR tracking, and stack trace analysis. Know who changed what and when.
8-15 seconds from log ingestion to complete incident analysis. Intelligent filtering reduces LLM costs by 80%.
Multi-tenant architecture with complete customer isolation. Row-level security ensures your data stays yours.
AI learns your tech stack, naming conventions, and infrastructure patterns. Get Windows PowerShell or Linux bash—whatever fits your environment.
No more scrambling through multiple tools at 3 AM. Everything you need in one dashboard.
Install our OpenTelemetry collector or custom agent in minutes. Supports Docker, Kubernetes, and standalone deployments.
Our 5-stage pipeline filters spam, deduplicates logs, and runs them through LangGraph AI for comprehensive analysis.
Receive detailed root cause analysis with evidence, timeline, impact assessment, and technology-specific remediation commands.
GitHub integration shows which commits caused the incident with git blame, PR tracking, and stack trace analysis.
Connect Overcast with your existing tools and workflows

And many more integrations coming soon
Traditional observability tools promise AI features but still leave you hunting through dashboards. Overcast delivers what they promise.
Datadog, Splunk, etc.
AI-powered RCA
Root Cause Analysis
Manual investigation required
Automated with confidence scoring
Cross-System Correlation
Manual correlation needed
Automatic multi-agent correlation
Code Change Tracking
Not available
Git blame with PR tracking
Setup Time
Days of configuration
Minutes with agent wizard
Cost for Small Teams
$50-200/user/month
Usage-based pricing
Remediation Steps
None or generic
Technology-specific commands
Join engineering teams who have already eliminated hours of manual incident investigation. Get started in minutes with our agent wizard.
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