What it sells
AI agents for on-call
Business model breakdown
Buyer: who owns the budget?
VP Engineering / CTO / SRE leads at fast-growing startups to enterprises (testimonials from CTOs and VPs Engineering).
Trigger: what makes them buy now?
Alert fatigue and on-call burden; downtime that customers notice.
Workflow: what inputs become what output?
An alert fires, Deeptrace investigates across logs, traces, metrics and code, posts root cause in Slack in about 2-3 minutes, can open fix PRs, update runbooks and create Linear tickets.
Economics: what it saves and how it charges
Subscription sized by alert/chat volume; claims 48% faster MTTR and 8 hours of on-call time saved per day in case studies.
Distribution: how it reaches customers
Book a demo and trial, 20+ integrations (Datadog, Grafana, PagerDuty, GitHub, Sentry), Slack-based, case studies.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Fall 2025 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.