Weather Forecasting

Worldsphere.ai

Worldsphere.ai is redefining climate action by seamlessly blending artificial intelligence with weather forecasting.

To build your own Saas Meeting Management:

đź•’ 900+ hours saved
đź’° 435,000+ budget savings
🌪️ Predictive storm dashboards live in just 6 sprints
About

Worldsphere.ai is redefining climate action by seamlessly blending artificial intelligence with weather forecasting. This cutting-edge platform is designed to provide real-time insights into weather risks, focusing on pioneering hurricane prediction and community preparedness.

Worldsphere.ai

Business challenges

Worldsphere’s vision was to create an intuitive and robust web application that empowers users with up-to-date information on hurricanes. They needed a solution that could not only process vast amounts of data but also present it in an engaging way, all while adhering to stringent privacy guidelines.

Worldsphere.ai

Solution

Flatlogic partnered with Worldsphere to develop a web application for hurricane tracking and risk management. Using the Flatlogic Generator, we established the foundation for a responsive and scalable solution. The technology stack included React and Next.js for building a user-friendly and dynamic interface and Node.js for backend processing. AI integration enabled predictive hurricane tracking and real-time risk analysis. Secure data handling practices ensured privacy and compliance with industry standards.

Worldsphere.ai

The development process followed an agile approach with regular feedback loops, ensuring the application met Worldsphere’s requirements and user expectations. Each milestone focused on delivering functional, incremental improvements, from interactive dashboards to predictive analytics.

The result is a robust, scalable, and secure web application that transforms complex weather data into actionable insights, providing businesses with tools to manage hurricane risks effectively.

Collaboration

Flatlogic and Worldsphere worked in tight, two-week sprints with a standing demo call every Friday. On each call we walked through the latest build, collected feedback, and adjusted the next sprint’s priorities on the spot.

This quick feedback loop kept both teams aligned, let us catch edge cases early, and helped us hit every milestone without last-minute surprises.

The open, twice-directional communication turned the engagement into a true partnership rather than a hand-off, and it shows in the final product.

Worldsphere.ai

Requirements

  • Create a groundbreaking web app for hurricane tracking and risk management.
  • Enhance user engagement with advanced AI and dynamic visualizations.
  • Deliver real-time updates and personalized insights for diverse companies and users.
  • Ensure privacy and integrity with secure data handling measures.

Technologies

React Next.js NodeJS OpenAI