Overcast
Backed by Fusen Ventures

The AI
Production Engineer.

Your team's toolkit to detect, analyze, and resolve production incidents with AI-powered root cause analysis. No more tool-hopping.

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26%Reduction

YoY Operational Expenditure

10xfaster

mean time to detect

24/7monitoring

AI-powered reliability

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See Overcast in Action

Watch how Overcast transforms incident management

The problems we solve

Modern observability is broken. Here's how we fix it.

Problem #1

Fragmented tool ecosystem

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.

Hours wasted switching between tools
Context lost in translation
Incomplete picture of incidents
Problem #2

Surface-level AI analysis

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.

No cross-service intelligence
Can't stitch logs, metrics, and traces
You still do the detective work
Problem #3

Wasted engineer time

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.

Manual documentation and reporting
Constant context switching between tools
Hours lost in meetings and status updates

Product features

Built by SREs, for SREs. Solving the real problems teams face in modern production environments.

AI That Actually Solves RCA

Complete root cause analysis with evidence, timeline reconstruction, and confidence scoring. Not just anomaly detection—real answers.

Cross-System Correlation

Automatically correlates logs from multiple agents and systems into a single, coherent incident timeline showing exactly how failures propagate.

GitHub Code Correlation

Identifies which code changes caused incidents with git blame, PR tracking, and stack trace analysis. Know who changed what and when.

Lightning Fast Analysis

8-15 seconds from log ingestion to complete incident analysis. Intelligent filtering reduces LLM costs by 80%.

Enterprise-Ready Security

Multi-tenant architecture with complete customer isolation. Row-level security ensures your data stays yours.

Domain-Specific AI

AI learns your tech stack, naming conventions, and infrastructure patterns. Get Windows PowerShell or Linux bash—whatever fits your environment.

From incident to resolution in minutes

No more scrambling through multiple tools at 3 AM. Everything you need in one dashboard.

01

Deploy Agent

Install our OpenTelemetry collector or custom agent in minutes. Supports Docker, Kubernetes, and standalone deployments.

02

AI Analyzes Logs

Our 5-stage pipeline filters spam, deduplicates logs, and runs them through LangGraph AI for comprehensive analysis.

03

Get Complete RCA

Receive detailed root cause analysis with evidence, timeline, impact assessment, and technology-specific remediation commands.

04

Correlate with Code

GitHub integration shows which commits caused the incident with git blame, PR tracking, and stack trace analysis.

Seamless Integrations

Connect Overcast with your existing tools and workflows

Overcast
GitHub
GitHub
Slack
Slack
Jira
Jira
Google Docs
Google Docs
Microsoft Teams
Splunk
Splunk

And many more integrations coming soon

Why teams choose Overcast

Traditional observability tools promise AI features but still leave you hunting through dashboards. Overcast delivers what they promise.

Feature

Traditional Tools

Datadog, Splunk, etc.

Overcast

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

Translate production clarity to business outcome

Join engineering teams who have already eliminated hours of manual incident investigation. Get started in minutes with our agent wizard.

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