The startup operates an artificial intelligence platform that automates the management of physical infrastructure by collecting and visualizing data from various devices. This technology enhances operational efficiency by providing actionable insights through tailored graphical representations of real-time events and measurements.
Funding
$830K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many industrial operations struggle with fragmented data from disparate devices and systems, making it difficult to gain a unified view of their physical infrastructure. This lack of integration hinders real-time monitoring, efficient automation, and the ability to derive actionable insights for optimizing performance and sustainability.
Solution
Hyper provides a unified data platform that connects to diverse IoT devices and industrial equipment, enabling businesses to monitor, automate, and manage their physical infrastructure in a single place. The platform collects real-time data, facilitates historical data analysis, and offers customizable dashboards for visualizing key performance indicators. By integrating with existing technology infrastructure, Hyper allows users to define automation rules, detect patterns, and receive notifications for critical events, ultimately improving operational efficiency and reducing costs. The system supports offline operation with periodic synchronization to a cloud service, ensuring reliability even in environments with limited internet connectivity.
Target Audience
The primary target audience includes businesses in smart agriculture, smart energy, smart logistics, and smart recycling industries seeking to digitalize their operations and improve efficiency through data-driven insights and automation.
Features
- Unified data ingestion from various sources, including sensors, machines, and controllers, using diverse protocols and formats.
- Real-time monitoring and historical data access through customizable dashboards.
- AI Assistant for root-cause analysis, contextual insights, and predictive alerting.
- Flexible automation rules based on device inputs for precise control of connected equipment.
- Pattern detection and performance reports to identify opportunities for optimization.
- Offline-first operation with periodic data synchronization to a cloud service.
- Support for integrations with external services and equipment.
- AI-powered computer vision system for crop health monitoring and anomaly detection (Smart Agriculture).
- Predictive analytics for energy usage patterns to forecast performance bottlenecks (Smart Energy).
- Real-time fleet monitoring with vehicle telematics for route efficiency and driver safety (Smart Logistics).
- Process throughput pattern analysis for optimizing waste management (Smart Recycling).