Dash0 Raises $35M to Build the First AI-Native Observability Platform
AI Agent News
$35 million Series A funding positions Dash0 to scale the first AI-native observability platform built around Agent0, an SRE AI agent that acts as a copilot for developers and operators.
The funding round was co-led by existing investors Accel and Cherry Ventures, with participation from DIG Ventures, as Dash0 addresses the fundamental enterprise bottleneck of observability systems that are “too noisy, too expensive, and too complex.”
The Signal-to-Noise Crisis
Traditional observability generates alerts that wake developers at 3 AM with cryptic error messages and overwhelming data volumes. Enterprise teams spend more time parsing monitoring dashboards than actually solving problems, creating a massive operational bottleneck.
Dash0’s approach centers on their SIFT framework (Spam filter, Ingest, Filter, Triage) that intelligently processes telemetry data before it reaches human operators. Rather than simply collecting everything and hoping teams can find relevant signals, SIFT eliminates noise at the infrastructure level.
Agent0: From Reactive to Proactive
Agent0 transforms the observability paradigm from passive monitoring to active problem-solving. The AI agent automatically:
- Creates contextual alerts based on application behavior patterns
- Generates targeted dashboards for specific incident types
- Builds pipeline rules that prevent recurring issues
- Provides guided remediation steps for detected problems
Built on OpenTelemetry and industry standards, Agent0 processes logs, traces, and metrics to deliver actionable insights rather than raw data dumps. The system learns from operational patterns to surface root causes before they escalate into outages.
Enterprise Validation at Scale
Since launching nine months ago, Dash0 has acquired 270+ customers across industries, establishing one of the fastest adoption rates in observability. This traction validates the market demand for AI-native infrastructure that reduces operational overhead rather than adding to it.
The founding team brings proven enterprise infrastructure experience from Instana, the application performance management platform that IBM acquired. CEO Mirko Novakovic previously led Instana through its growth phase, giving Dash0 deep understanding of enterprise observability requirements.
Infrastructure Architecture Evolution
Dash0’s OpenTelemetry-native foundation eliminates vendor lock-in while providing transparent pricing models. The platform integrates with existing enterprise systems rather than requiring infrastructure replacement, addressing the deployment friction that slows observability modernization.
The SIFT framework represents a architectural shift from data collection to intelligent data processing. By filtering and enriching signals at the platform level, enterprises avoid the exponential cost scaling that plagues traditional observability vendors.
Enterprise Production Readiness
“With SIFT, we’ve already built the foundation to remove noise, enrich signals, and surface root causes,” said Mirko Novakovic, Founder & CEO. “Now, with Agent0, we put an AI-native copilot at the heart of observability—a system that can act on insights and help users resolve issues in real time.”
The investment enables Dash0 to accelerate growth in the US and European markets while expanding R&D for Agent0’s autonomous capabilities. The platform positions enterprises to scale observability operations without proportional increases in engineering overhead.
Looking Forward
As enterprise AI agent deployments scale beyond pilot phases, observability infrastructure becomes a critical bottleneck. Agent0’s proactive approach to incident prevention and automated remediation provides the operational foundation required for production AI systems.
The next 6-12 months will test whether AI-native observability platforms can deliver the cost efficiency and operational simplicity that enterprise infrastructure teams require for sustainable scale.
Dash0’s AI-native approach to observability infrastructure aligns with the broader trend toward autonomous operational systems. For teams building AI agent workflows, platforms like Overclock provide complementary orchestration capabilities that integrate with observability foundations like Dash0 to deliver end-to-end operational intelligence.