xyzT.ai

xyzT.ai can analyze any spatio-temporal data. This includes data with spatial and temporal dimensions like location-based data over time. Examples include IoT sensor data, maritime data, mobility and traffic data, and more.

Yes, you can bring your own data to xyzT.ai. The platform supports combining multiple data sources for layered analysis. This allows for more comprehensive insights and data visualization.

Yes, xyzT.ai supports data sharing. You can share your visualizations and dashboards with your team or other stakeholders. The platform also allows embedding of visualizations into other applications.

xyzT.ai offers three pricing plans: Team, At Scale, and Enterprise. The Team plan costs $X per month, supports 2 users, and includes a 100GB data limit. The At Scale plan costs $Y per month, supports 5 users, and includes a 500GB data limit. The Enterprise plan is custom priced and offers unlimited users and data, as well as on-prem deployment.

xyzT.ai can be used in various industries such as IoT, maritime, traffic and mobility, urban planning, and more. Any industry that deals with spatio-temporal data can benefit from the platform's robust analytics capabilities.

Yes, xyzT.ai is designed to handle both small and big data. Whether you're dealing with a small dataset or scaling to billions of records, xyzT.ai provides the necessary tools for effective data analysis and visualization.

No, xyzT.ai is a no-code platform. This means you don't need any coding knowledge to use it. The interface is designed to be user-friendly, allowing users to perform advanced data analytics without writing a single line of code.

xyzT.ai offers advanced visualization features. This includes space-time visual analytics, split view analysis, and the creation of interactive dashboards. These features help users to gain actionable insights from their spatio-temporal data.

Yes, xyzT.ai can integrate with other applications via its REST API. This allows for seamless data exchange and embedding of xyzT.ai visualizations into other software solutions. It's beneficial for creating a unified data analysis environment.