xyzt.ai | Turn your IoT data into actionable insights

xyzt.ai is an IoT analytics platform that helps you easily visualize and analyze spatio-temporal data from any source, regardless of size. It supports connecting your own data, merging multiple datasets, and performing layered analyses with a dashboarding mindset. The platform emphasizes accessibility for both small-scale and large-scale data projects while enabling monetization and collaboration through embeddable dashboards and shareable reports.

Key capabilities

• Visualize and analyze any spatio-temporal data from any data source
• Connect your own data, mix multiple sources, and perform layered analyses
• Handle both small and big data with future-proof architecture
• GenAI-powered insights with natural language interaction through the just ask xyzt.ai feature
• Embedded dashboards, shareable reports, and data monetization options

How it works

1. Connect data sources. Bring in your sensors, databases, files, or external APIs.
2. Model and analyze. Combine sources and apply spatial and time-series analyses to uncover trends and patterns.
3. Visualize and share. Build dashboards, generate reports, and share insights with stakeholders. Data remains secure in the cloud.

GenAI-powered space-time analytics

• Leverage natural language queries to ask questions about space-time data and get instant, AI-generated insights.
• Transform raw data into contextual explanations, trends, and recommended actions.

Industries and use cases

• Maritime & Ports
• Mobility & Traffic
• Internet of Things (IoT)
• Any Industry requiring spatio-temporal analytics

Why xyzt.ai

• Data-agnostic platform that works with any source
• Scalable for small to large datasets
• Emphasis on privacy with cloud-based analytics
• Options to embed dashboards and monetize data investments

How to get started

• Request a free demo to see how the platform can connect to your sensors and data sources, and to explore space-time analytics capabilities.

Case studies (highlights)

• Intelsat: Analyzing fleet data for optimal connectivity on cruise ships and airplanes.
• INRIX: Quick, code-free traffic analytics using floating vehicle data.
• Helsinki: Collaborative research on traffic and mobility data sources.
• Port of Antwerp-Bruges: Anomaly detection and vessel movement analysis.
• Spire: Integrating AIS, ADS-B, and weather data for scalable insights.
• INEOS Phenol: Early warning collision avoidance using AIS and radar data with anomaly detection.
• Bridgestone: Insightful visualization of floating car data for road safety.
• Straßen.NRW: Traffic flow analytics using Floating Car Data.

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How to Use xyzt.ai

1. Connect your data sources. Import sensors, maritime data, traffic data, or other IoT datasets.
2. Perform analyses. Use built-in spatial and time-series tools to derive insights across sources.
3. Visualize and share. Build dashboards, publish reports, and collaborate while keeping data secure in the cloud.

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Core Features

• Connect and visualize spatio-temporal data from any source
• Merge multiple datasets for layered, multi-source analyses
• Scalable handling of small and large data sets
• GenAI-powered space-time analytics with natural language interaction
• Embeddable dashboards and shareable reports for data monetization
• Industry-agnostic applicability (IoT, maritime, mobility, etc.)
• Privacy-focused: data remains in the cloud with governed access