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Company profile

Dash0

OpenTelemetry-native observability platform for AI-driven software development.

dash0.comProfile compiled July 202617 source pages read
Category
AI infrastructure
Headquarters
New York, NY
Sells to
Developers
Business model
Usage-based API, Marketplace
Deployment
Cloud / SaaS
Pricing
Consumption-based pricing with no hidden fees. Costs are calculated per million data points for metrics, spans, log records, and web events, or per thousand runs for synthetic API checks. Agent0 Credits are $0.60 per credit. · free tier
Builds own models
No — builds on existing models
Modalities
Code, Text

Dash0 is an OpenTelemetry-native platform that helps companies stay in control of software built and run by AI. It closes the loop from code to production by governing what AI builds, observing everything in production, and fixing problems autonomously. The platform provides complete visibility across the stack with support for metrics, logs, traces, and resources, including service monitoring, alerting, dashboards, website monitoring, and synthetic monitoring. Dash0 also features Agent0, an AI SRE that continuously scans environments, identifies degrading services, traces issues to commits, and drafts fixes. Darkplane tracks AI coding assistant usage, cost, and productivity metrics. Built on OpenTelemetry, PromQL, and Perses, Dash0 offers comprehensive visibility with zero vendor lock-in and transparent consumption-based pricing.

  • DarkplaneA component of Dash0 that tracks AI coding assistant usage across engineering organizations, monitoring adoption, cost, and productivity metrics for tools like Claude Code and Cursor, including cycle time from coding session to merged pull request. It helps build with AI and ship with confidence.
  • ObservabilityA core layer of Dash0 providing comprehensive visibility across the entire stack. It includes APM, RUM, Infrastructure monitoring, and LLM & Agents monitoring. It's designed for observability without the headache, built on the same signals, context, and tools as Darkplane and Agent0.
  • Agent0An autonomous production AI built into Dash0 that runs production on autopilot. It scans environments continuously, surfaces degrading services, traces issues to offending commits, and drafts fixes as pull requests. It integrates with service views for natural language queries to investigate issues and can generate dashboards or alerts. It includes Live Insights, RCA, AutoFix, AutoTune, and Automations.
  • SignalStoreThe OpenTelemetry-native data platform for humans and agents. It stores every signal (logs, metrics, traces, profiles, events) once, in your cloud, and provides query and access via PromQL, SQL, CLI, and API. It includes SignalControl to manage noise.
  • Dash0 CLIA command-line interface for the Dash0 observability platform, exposing primitives like dashboards, views, check rules, synthetic checks, teams, notification channels, telemetry queries, and OTLP send operations. It's designed for humans, AI coding agents, and CI/CD pipelines to manage assets as code, query telemetry, and send telemetry.
  • Kubernetes OperatorAn operator for Kubernetes monitoring that automates the instrumentation and management of Dash0 observability within Kubernetes clusters, built on OpenTelemetry and open-source standards.
  • Dash0 Integration HubA hub containing over 50 integrations with third-party solutions, alerting systems, observability pipelines, languages, loggers, and clouds for easy data ingestion and setup.
  • Service CatalogAn operational command center that lists every service in an environment alongside key health indicators (request rates, error percentages, latency percentiles). It allows sorting and searching to quickly identify problematic services and provides detailed metrics, infrastructure details, dependencies, and all related telemetry.
  • Service MapA real-time, visual representation of a distributed system's architecture. It automatically discovers and maps relationships between services based on OpenTelemetry traces, allowing users to understand dependencies, identify bottlenecks, and monitor system health at a glance.
  • dash0.spans.redA built-in metric that Dash0 automatically generates from spans to power service-level rate, error, and duration views. It captures the three RED signals (Rate, Errors, Duration) for each service and operation in a single exponential histogram.
  • dash0-operatorThe Kubernetes operator that automates the instrumentation and management of Dash0 observability within Kubernetes clusters.
  • dash0-sdk-webThe Dash0 Web SDK for collecting frontend telemetry (traces, metrics, logs) from end-users in browser-based applications.
  • otelbinA web-based tool by Dash0 for editing, visualizing, and validating OpenTelemetry Collector configurations.
  • terraform-provider-dash0A Terraform provider that allows managing Dash0 dashboards, check rules, and other resources as infrastructure-as-code.
  • OpenTelemetry-native from the start
  • Correlating and contextualizing issues
  • AI Coding Insights
  • AutoMerge (coming soon)
  • Context Graph
  • APM
  • RUM
  • Infra monitoring
  • LLM & Agents monitoring
  • Live Insights
  • RCA (Root Cause Analysis)
  • AutoFix
  • AutoTune
  • Automations
  • SignalControl for data management
  • PromQL support
  • SQL query access
  • CLI access
  • API access
  • Interoperability with OTel-compatible tools
  • No vendor lock-in; data exportable
  • Agents query the same data
  • Consumption-based pricing with full cost visibility
  • 14-day unlimited free trial
  • Monthly budget limits for cost control
  • Spam filters for noisy data
  • Cost forecast
  • Infrastructure monitoring
  • Kubernetes monitoring
  • Application performance management
  • Distributed tracing
  • Log management
  • Website monitoring
  • Synthetic monitoring
  • Dashboards (Perses compatible)
  • Alerting (Prometheus rules compatible)
  • Service maps
  • AI SRE agents (Agent0)
  • Service Catalog for service health and metrics
  • Service Map for architecture visualization
  • Configuration as Code (GitOps support)
  • End-to-End Encryption (TLS 1.3 in transit, AES-256 at rest)
  • Secure Infrastructure (SOC 2 Type II certified data centers)
  • Access Controls (RBAC, SSO/SAML, MFA, audit logs)
  • Data Sovereignty (EU and US data centers)
  • Built-in OpenTelemetry demo application
  • GitHub Actions for CLI integration
  • Monitoring and understanding services in distributed systems
  • Reducing time from bug report to fix
  • Unifying monitoring and improving incident response times
  • Gaining insights into systems and resolving issues efficiently
  • Achieving critical visibility into customer environments at scale
  • Spotting previously unseen issues
  • Providing developers with deep context about system behavior
  • Automating instrumentation and management of Kubernetes clusters
  • Visualizing metrics, logs, and traces with customizable dashboards
  • Monitoring cloud services, databases, and Kubernetes
  • Standardized and efficient data collection, transmission, and analysis
  • Defining checks based on logs, metrics, and traces with PromQL
  • Receiving notifications via email, Slack, or other tools
  • Managing dashboards, rules, and configurations as code
  • Searching logs, spans, traces, metrics, and failed checks
  • Emitting logs, spans, and deployment events via OTLP
  • Managing multiple Dash0 environments (dev, staging, prod)
  • Proactive detection of issues across distributed systems
  • Analyzing service behavior during specific incidents
  • Comparing performance across different periods
  • Investigating anomalies in specific services or connections
  • Generating dashboards monitoring specific services
  • Creating check rules for services with degraded health
  • Explaining relationships between services in architecture
  • Collecting frontend telemetry from browser-based applications
  • Editing, visualizing, and validating OpenTelemetry Collector configurations
  • Managing Dash0 resources as infrastructure-as-code

Dash0 uses AI agents (Agent0) to automate production tasks, such as scanning environments, tracing issues to commits, drafting fixes as pull requests, and performing root cause analysis. It also provides AI Coding Insights and AutoMerge features. The platform is designed to govern what AI builds and observe everything in production, with a focus on correlating and contextualizing issues beyond telemetry silos. Agent0 can answer questions about service dependencies, investigate anomalies, generate dashboards, and create check rules.

Tech named: Agent0, Darkplane, SignalStore, AutoMerge, Context Graph, Live Insights, RCA, AutoFix, AutoTune, Automations, LLM & Agents, Claude Code, Cursor, Codex, Copilot

  • OpenTelemetry-native from the start, avoiding proprietary formats and vendor lock-in
  • AI-powered Agent0 for autonomous production monitoring and issue resolution, including drafting fixes
  • Darkplane for tracking AI coding assistant usage, cost, and productivity
  • Consumption-based pricing with full cost visibility and no hidden fees
  • Unified platform for correlating and contextualizing issues across telemetry silos
  • Focus on making observability easy for every developer
  • Support for open standards like OpenTelemetry, Prometheus, and Perses
  • Ability to export data anytime without proprietary formats or context loss
  • Enterprise-grade security with SOC 2 Type II, GDPR, ISO 27001 certifications (HIPAA, PCI DSS coming)
  • Built-in cost control features like budget limits and spam filters
  • Comprehensive integration hub with over 50 third-party solutions
  • Service Catalog and Service Map for detailed and visual service monitoring
  • Configuration as Code for managing assets via GitOps workflows
  • Ergonomic CLI for humans, AI agents, and CI/CD with structured JSON output and idempotent operations

Accel, Cherry Ventures

From the AI funding tracker — rounds as reported by the linked publications.

This profile was compiled from Dash0's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.