NeuBird is the Agentic Operations Center: one secure link to your telemetry and LLMs that resolves incidents, remembers every investigation, and shares one governed truth across your teams and agents.
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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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DataBahn
DataBahn is an advanced platform that harnesses the power of AI to manage data pipelines and enhance security, streamlining the processes of data collection, integration, and optimization from a variety of sources to various destinations. Boasting a robust array of over 400 connectors, it simplifies the onboarding process and boosts the efficiency of data flow significantly. The platform automates data collection and ingestion, allowing for smooth integration, even when dealing with disparate security tools. Moreover, it optimizes costs related to SIEM and data storage through intelligent, rule-based filtering, which directs less critical data to more affordable storage options. It also ensures real-time visibility and insights by utilizing telemetry health alerts and implementing failover handling, which guarantees the integrity and completeness of data collection. Comprehensive data governance is further supported by AI-driven tagging, automated quarantining of sensitive information, and mechanisms in place to prevent vendor lock-in. In addition, DataBahn's adaptability allows organizations to stay agile and responsive to evolving data management needs.
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SAWSIM
For sawmills that produce a diverse array of products to meet specific customer demands, which is common for many operations outside North America, ensuring timely delivery of the right product is essential. The challenge lies in deciding which logs to process and selecting the appropriate sawing patterns, a task that is often complex. Furthermore, the necessity of evaluating various log purchasing strategies, market possibilities, and production limitations complicates the decision-making process, illustrating that achieving optimal operational choices using traditional planning approaches is unfeasible. To address this issue, the SAWSIM®-LP linear programming optimization system was designed to assist sawmilling companies in identifying the ideal "sawing pattern recipes"—the best combination of sawing patterns that will convert a specific input log mix into a desired production output. Beyond supporting immediate production planning, this innovative system can also provide valuable insights for addressing longer-term questions related to marketing strategies and log sourcing. By employing such advanced optimization tools, sawmills can enhance their operational efficiency and responsiveness to market demands.
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