Dash0 is an agentic observability platform built natively on OpenTelemetry, designed to let engineering teams ingest, correlate, and act on telemetry from any stack without proprietary agents or vendor lock-in. The company positions the product as an evolving "AI nervous system for production" — a platform that not only monitors systems but increasingly helps manage them through AI agents.
Because Dash0 is built on the open OpenTelemetry standard, it ingests metrics, traces, and logs from any vendor or environment without requiring teams to install proprietary collection agents. This approach is intended to reduce hidden costs and migration friction, a recurring complaint with legacy observability suites that bill aggressively on data volume and cardinality.
Dash0 was founded in 2023 by Mirko Novakovic, a serial entrepreneur who previously co-founded Instana, an application performance monitoring company acquired by IBM in 2020. The company is led by Novakovic alongside Ben Blackmore, and although founded in Germany it is headquartered in New York.
In March 2026, Dash0 closed a $110 million Series B led by Balderton Capital at a $1 billion valuation, becoming a new enterprise infrastructure unicorn. The round included DTCP Growth as a new investor, with existing backers Accel, Cherry Ventures, and DIG Ventures participating alongside strategic partners July Fund and T.Capital (Deutsche Telekom). Total funding stands at roughly $155 million.
On the traction side, Dash0 reports more than 600 paying customers, including Zalando, Taco Bell, and The Telegraph. Its differentiation rests on standards-first architecture, transparent pricing relative to incumbents, and an explicit roadmap toward AI agents that triage and remediate production incidents rather than simply surfacing dashboards.
The company competes against established observability vendors such as Datadog, Grafana, and New Relic. Its bet is that OpenTelemetry's industry-wide adoption makes a standards-native, AI-forward platform a structurally better long-term foundation than proprietary, agent-heavy alternatives.