Dash0 is the agentic observability platform built on OpenTelemetry. It closes the loop from code to production: it governs what AI builds, observes everything running in production, and fixes problems autonomously.

Engineering teams get one open platform to ingest, correlate and act on logs, metrics, traces, profiles and real-user data from any stack. There are no proprietary agents, no vendor lock-in and no unpredictable pricing. Agent0, our AI agent layer, monitors, diagnoses and resolves production issues before anyone is paged.

Dash0 was founded in 2023 in Germany and is headquartered in New York. It serves 850+ customers worldwide, including Zalando, The Telegraph, EVgo and Bridgestone. Balderton led our $110M Series B in 2026.

Why work with us

Our mission is to move beyond observability: to close the loop from code to production, so observability runs autonomously and engineers spend their time shipping features instead of firefighting.

Five things set us apart:

1. Agent0, our AI SRE, fixes problems instead of just reporting them. It detects an issue, traces it to the commit that caused it and opens the fix as a pull request, with no human in the loop. Other vendors' AI assistants investigate and make suggestions, but your engineers still write the fix.
2. We're the only observability platform that shows what your AI coding agents actually deliver. AI SDLC Insights links token spend from Claude Code, Cursor, Codex and Copilot to merged PRs and to the incidents they cause in production. Datadog, Grafana and Dynatrace don't make that link.
3. You pay for data, not hosts or seats. There are no per-host, per-seat or per-user AI fees, and you see your cost live as data arrives. Digibee covers 100% of its applications instead of 10%, at a third of its Datadog bill. Bonhams cut its spend in half compared with where its New Relic bill was heading.
4. We're 100% OpenTelemetry-native, with no proprietary agents and no proprietary query language, so you can leave whenever you want. You can also run Dash0 alongside your current tool and move workloads over gradually.
5. One platform instead of a stack you maintain. Logs, metrics, traces, profiles and real-user data are correlated in one place, not stitched together from separate tools. Understory went from three tools to one and cut its debugging time by 80%.