Deeptrace offers an AI‑driven observability platform that automatically investigates production alerts by reasoning across logs, traces, metrics, and code. It delivers evidence‑backed root‑cause analyses, business‑impact prioritization, and recommended fixes directly to tools like Slack, and can generate pull requests, runbook updates, and tickets to accelerate remediation.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering teams spend significant time manually gathering context from logs, traces, metrics, and code to triage production alerts, leading to prolonged mean time to resolution (MTTR) and on‑call fatigue.
Solution
Deeptrace provides an AI‑driven observability platform that automatically investigates every production alert. By reasoning across logs, traces, metrics, and source code, it generates evidence‑backed root‑cause analyses and prioritizes alerts by business impact. The system delivers concise findings and recommended fixes directly to collaboration tools such as Slack, and can create pull requests, runbook updates, and ticket entries to streamline remediation. Integrations with over 20 monitoring, logging, and incident‑management tools enable rapid deployment without code changes, helping teams reduce MTTR by roughly 50% and save thousands of engineering hours annually.
Target Audience
Deeptrace targets engineering and site‑reliability teams at fast‑growing startups and large enterprises that manage high‑volume production alerts and need to improve incident response efficiency.
Features
- Automatic alert triage with business‑impact ranking and grouping of related alerts
- Cross‑referencing of logs, traces, metrics, and code to produce evidence‑backed root‑cause reports
- Natural‑language chat interface in Slack or web app for on‑demand system queries
- Auto‑generated pull requests, runbook updates, and ticket creation to accelerate fixes
- Over 20 native integrations (e.g., GitHub, Datadog, Grafana, AWS CloudWatch, PagerDuty, Sentry) with zero‑code setup
- Real‑time alert intelligence delivered to collaboration channels with full citation of supporting data