
Grafana Labs delivers the leading AI-powered observability platform, built around Grafana—the most widely adopted open source technology for dashboards and visualization. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, Grafana Labs supports more than 25 million users and thousands of organizations worldwide, from startups to Fortune 500 enterprises.
Grafana Cloud is the open observability cloud, designed to help engineering teams observe everything and solve anything. Built on open source, open standards, and open ecosystems, it unifies metrics, logs, traces, and profiles in a single platform for full-stack visibility across applications, infrastructure, and digital experiences.
At the core is the open-source LGTM stack: Grafana for dashboards and visualization, Mimir for metrics, Loki for logs, and Tempo for distributed tracing. Native OpenTelemetry and Prometheus support allow teams to ingest telemetry from virtually any environment, while hundreds of integrations connect existing tools and data sources without costly rip-and-replace migrations.
Grafana Cloud combines powerful analytics with AI-driven observability. Grafana Assistant helps engineers investigate issues, explore telemetry, and troubleshoot faster. Adaptive Telemetry identifies the data that matters most and aggregates the rest, helping organizations reduce telemetry costs while preserving valuable insights
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With solutions for Kubernetes monitoring, application observability, digital experience monitoring, incident response, synthetic monitoring, and performance testing, Grafana Cloud delivers a complete observability platform that scales with your business.
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Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.
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Braintrust
Braintrust is a powerful AI observability and evaluation platform built to help organizations monitor, analyze, and improve the performance of their AI systems in real-world environments. It captures detailed production traces, giving teams visibility into prompts, outputs, tool calls, and system behavior in real time. The platform enables users to evaluate AI performance using automated scoring, human feedback, or custom metrics to ensure consistent quality. Braintrust helps detect issues such as hallucinations, latency spikes, and regressions before they affect end users. It also allows teams to compare prompts and models side by side, making it easier to refine and optimize AI workflows. With scalable infrastructure, Braintrust can handle large volumes of AI trace data efficiently. The platform integrates seamlessly with existing development tools and supports multiple programming languages. It includes features like automated alerts and performance monitoring to proactively identify problems. Braintrust also supports building evaluation datasets directly from production data, improving testing accuracy. Its flexible and framework-agnostic design ensures compatibility with any AI stack. Overall, Braintrust empowers teams to continuously improve AI systems while maintaining reliability and performance at scale.
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Atla
Atla serves as a comprehensive observability and evaluation platform tailored for AI agents, focusing on diagnosing and resolving failures effectively. It enables real-time insights into every decision, tool utilization, and interaction, allowing users to track each agent's execution, comprehend errors at each step, and pinpoint the underlying causes of failures. By intelligently identifying recurring issues across a vast array of traces, Atla eliminates the need for tedious manual log reviews and offers concrete, actionable recommendations for enhancements based on observed error trends. Users can concurrently test different models and prompts to assess their performance, apply suggested improvements, and evaluate the impact of modifications on success rates. Each individual trace is distilled into clear, concise narratives for detailed examination, while aggregated data reveals overarching patterns that highlight systemic challenges rather than mere isolated incidents. Additionally, Atla is designed for seamless integration with existing tools such as OpenAI, LangChain, Autogen AI, Pydantic AI, and several others, ensuring a smooth user experience. This platform not only enhances the efficiency of AI agents but also empowers users with the insights needed to drive continuous improvement and innovation.
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