
Grafana Labs provides 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, delivering full-stack visibility across modern applications, infrastructure, and digital services. Built on open source, open standards, and open ecosystems, the platform unifies metrics, logs, traces, and profiles into a scalable observability experience that helps teams detect issues earlier, resolve incidents faster, and operate more efficiently.
At the core of Grafana Cloud is the open-source LGTM stack: Grafana for dashboards and visualization, Mimir for scalable metrics, Loki for logs, and Tempo for distributed tracing. Native OpenTelemetry and Prometheus support make it easy to collect telemetry from any environment, while hundreds of integrations connect existing systems and tools—allowing organizations to extend observability without vendor lock-in.
Grafana Cloud also introduces powerful AI-driven observability capabilities. Grafana Assistant helps teams explore data, investigate incidents, and troubleshoot faster through an intelligent interface built for engineers. Adaptive Telemetry identifies high-value signals and aggregates the rest, helping organizations reduce telemetry costs while maintaining operational insight.
With solutions spanning Kubernetes monitoring, application and infrastructure observability, frontend monitoring, database observability, incident response, synthetic monitoring, and performance testing, Grafana Cloud delivers the clarity teams need to move faster and operate with confidence.
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High-Performance Data Engineering. 100% Sovereign.
TIMi delivers the full power of a enterprise data cloud—on-premises, fully sovereign, and blisteringly fast.
No vendor lock-in. No hidden costs. Just pure engineering excellence that gives your team total freedom to experiment, innovate, and solve your toughest AI and automation challenges in record time.
The TIMi Advantages:
No-Code Integration: Automate complex workflows and connect your entire tech stack instantly—from SAP and Salesforce to SharePoint and Google BigTable.
Radical Efficiency: Competitors such as Databricks, Dataiku, and MS Fabric relies heavily on a Spark back-end. Spark quickly burns budget because of bloated Java virtual machines. TIMi strips away the waste with pure, bare-metal, hand-optimized assembly code. The result: A single €2k TIMi server outperforms a 267-node Spark cluster, processing billions of rows in seconds and effortlessly running petabyte-scale data lakes at a fraction of the cost.
Pioneering AI: Harness advanced machine learning built on the legacy of the first Auto-ML engine (pioneered in 2007).
Available on-premises or via our EU-Hosted Sovereign Cloud. Trusted across Telecoms, Banking, Manufacturing, Retail, Defense, and Government.
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MassTer
MassTer's innovative Marketing Mix Modeling software offers a contemporary solution for executing MMM projects. With its user-friendly interface, MassTer simplifies the process for analytical teams, enabling them to complete these projects with greater efficiency. This software was specifically crafted to streamline the delivery of Marketing Mix Modeling initiatives. By incorporating industry-leading practices and sophisticated modeling techniques, MassTer successfully replicates the MMM project workflow, thereby ensuring optimal performance. Furthermore, MASS Analytics represents a cutting-edge approach to MMM, delivering rapid automated models driven by Machine Learning. This advanced capability allows users to effectively assess the impact of media and marketing within intricate media landscapes, ultimately enhancing decision-making and strategy formulation. Additionally, MassTer's commitment to continuous improvement ensures that users remain at the forefront of marketing analytics innovation.
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Stella
Stella is an innovative platform tailored for marketing measurement, offering marketers scientifically sound insights into which advertisements, campaigns, and media channels drive revenue growth. It includes three key features: Incrementality Testing, Always-On Incrementality, and Media Mix Modeling (MMM). With Incrementality Testing, Stella performs geo-holdout studies, commonly referred to as inverse holdouts, to determine performance variations between test and control regions, thereby isolating the direct effects of advertisements instead of relying solely on attribution techniques. This tool streamlines intricate statistical concepts like causal inference and confidence intervals, enabling users to grasp potential outcomes independent of any specific campaign, and revealing the true "lift" generated by each ad. Additionally, the Media Mix Modeling component utilizes a distinctive Bayesian method to analyze past marketing budgets alongside external factors, such as seasonality and promotional events, to accurately evaluate each channel's contribution to total sales. By employing these sophisticated strategies, Stella not only enhances the decision-making process for marketers but also ensures that the data they rely on is both precise and actionable. Ultimately, the platform stands as a vital resource for marketers seeking to optimize their advertising efforts effectively.
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