Tupl: Incubator

Our solution streamlines data unification, reduces administrative workload, and enhances diagnostic accuracy and real-time monitoring — empowering better-informed care decisions for patients.

Our solution empowers sleep specialists to make faster, more accurate treatment decisions by monitoring key real-time sleep data from employees.

Automates real-time data collection and analysis across the factory floor — boosting efficiency, minimizing manual tasks, and enabling predictive maintenance.

This solution enables tracking and managing staff movement within factories or workplaces, enhancing safety, efficiency, and operational traceability.

Maximize industrial efficiency with AI-powered automation and real-time control of complex machinery. Our solution enables data-driven operations, reduces dependency on expert personnel, and boosts productivity — empowering smarter, faster, and more sustainable manufacturing decisions.

An AI-powered solution that delivers real-time, personalized agronomic insights directly to farmers via WhatsApp. By combining satellite imagery, IoT data, and advanced analytics, it helps optimize crop management, reduce risk, and boost productivity — making precision agriculture accessible and scalable.

We integrate our artificial intelligence solution with the farm's existing systems and develop digital functionalities to capture field data on a unified platform. This enables real-time analysis of all agronomic operations in your company, allowing you to control, monitor, and compare planned versus executed activities, while generating alerts and results based on actual performance.

With this solution, we digitize manual records, improve data accuracy, and increase traceability. It complies with European standards for agricultural activity logging.

This initiative boosts productivity by deploying real-time monitoring systems, expanding access to research-driven innovations, and supporting market integration — enabling scalable, AI-powered solutions for proactive, sustainable, and adaptive farming systems.

Optimize irrigation by leveraging IoT sensor data, weather forecasts, crop type, and system parameters to generate specific irrigation alerts. This ensures that water is applied at the right time and in the right amount, increasing efficiency, conserving resources, and promoting healthier, more resilient crops.

It automates RF tuning, reduces dropped calls, and enhances user experience — enabling operators to deliver more reliable and efficient mobile connectivity.

It simplifies multi-vendor integration, reduces engineering effort, and ensures consistent performance — enabling agile, scalable, and efficient Open RAN operations.

It eliminates data silos, accelerates analysis, and improves data accuracy — empowering faster, smarter network performance decisions.

It proactively detects issues, reduces resolution time, and enhances service quality — enabling seamless, scalable IoT operations across smart ecosystems.

It monitors water consumption in specific populated areas and generates real-time alerts in case of leaks. The system provides dashboards to visualize data from multiple distribution networks and automatically detects abnormal usage patterns, accurately identifying the exact location of leaks or incidents.

Harnesses artificial intelligence to optimize the desalination process by reducing energy consumption and minimizing waste generation. Additionally, through satellite image analysis, it monitors the environmental impact of desalination plants on surrounding ecosystems — ensuring more sustainable and efficient water production.

We supervise water pipe pressure and potential leaks in real time, generating automatic alerts that enable a quick and efficient response to prevent losses and structural damage.

A centralized IoT sensor system that detects fires, floods, unauthorized access, and refrigeration failures, generating immediate alerts to protect assets and people.

Real-time monitoring and control of agricultural areas and urban spaces, such as parks and gardens, optimizing resource use and ensuring more sustainable and efficient management.

Tupl is supporting MART in advancing telemetry and battery data analysis for their electric race car. The project involves developing adaptable visualization tools and integrating sensor data to generate thermal and electrical battery maps. Future phases will focus on enabling real-time monitoring of charge and discharge cycles to meet safety-critical requirements.

Data from the hotel, restaurant, or café is automatically analyzed to generate weekly, monthly, or other periodic reports. These reports validate that the business's income and expenses (raw materials, taxes, overhead, and staff) ensure profitability.