Provides an end-to-end IoT platform that enables hardware developers to securely connect devices to the cloud, store and process data, and perform calculations or detect anomalies without writing code. The platform features a drag-and-drop dashboard builder, AI-driven data querying, and automated backend management, reducing infrastructure setup time and engineering costs while enabling rapid iteration and deployment.
Funding
Funding not disclosed
WCFounders
Product
Problem
Developing IoT solutions often requires significant backend infrastructure setup and custom coding for data processing, visualization, and device management. This complexity increases engineering costs, slows down development cycles, and diverts resources from core product innovation.
Solution
Grandeur provides an end-to-end IoT platform that enables hardware developers to securely connect devices to the cloud, store and process data, and perform calculations or detect anomalies without writing code. The platform features a drag-and-drop dashboard builder for creating custom visualizations, AI-driven data querying using natural language prompts, and automated backend management for database, APIs, and deployment. Grandeur allows users to connect devices directly to the cloud with its broker, or seamlessly integrate them from other platforms.
Target Audience
The primary users are hardware developers and IoT solution providers seeking to streamline development, reduce engineering costs, and accelerate time-to-market for their connected devices.
Features
- Drag-and-drop dashboard builder for creating custom IoT data visualizations
- AI-powered data querying using natural language prompts for performing mathematical and logical operations
- Automated backend management, including database, API, and deployment
- Integrated pub/sub broker for direct device connectivity to the cloud
- SDKs for seamless integration of device data into custom applications
- Scalable infrastructure that automatically adjusts to meet demand
- Collaborative app sharing for user feedback and iteration