📇 The Project at a Glance
Smart energy management system
AI-driven energy management system that monitors electrical grids, detects anomalies and their root causes, reduces energy losses, and improves energy efficiency and sustainability.
🏢 Start-up / Organization
4InA Technology
👤 Project Leader(s)
Hinda Zribi & Sabri Mhimdi, co-founders
🌍 Country
Tunisia – Manouba
⚡ Energy Sector Segment
Smart grid analytics, energy sector, maintenance
🧠Key Technology(ies)
AI, IoT, 4InA motherboard (4InCore), data, mobile, web, platform, electrical devices
đź“Š Status
Early scale-up
Hero
Company Overview
4InA Technologie is a startup specialized in smart energy management and AI solutions. The company develops intelligent energy management systems (hardware and software) that enable companies to monitor energy consumption in real time, detect inefficiencies, and optimize energy performance. With expertise in embedded systems, data analytics, and artificial intelligence, 4InA Technology supports companies and agricultural farms in their transition toward smarter, more efficient, and sustainable energy use.
« You cannot optimize what you cannot see — our technology makes energy visible, intelligent, and efficient. »
Challenge
Many industrial facilities and agricultural farms lack real-time visibility into their electrical systems and energy consumption. As a result, energy losses, electrical anomalies, and inefficient equipment operation often remain undetected. This leads to higher operational costs, reduced energy efficiency, and increased risk of equipment failure.
Improving energy monitoring and efficiency is essential to reduce energy waste, strengthen grid reliability, and support the transition toward a more sustainable and resilient energy ecosystem.
ue est essentiel pour réduire le gaspillage, renforcer la fiabilité du réseau et soutenir la transition vers un système énergétique plus durable et résilient.
The Solution
4InA provides an AI powered SEMS that monitors electrical grids in real time, collects and analyzes electrical data to detect anomalies, identify their root causes and provide actionable insights.
The SEMS integrates IoT sensors and the 4InA electronic motherboard “4InCore” with real time electrical monitoring based on AI and innovative platform.
How It Works
In practice
The system continuously collects electrical data from electrical installations using IoT sensors and “4InCore.” This data is transmitted to a digital platform where AI models analyze energy consumption, detect anomalies, and provide actionable insights to users.
Tools / platforms / data used :
- 4InA smart electronic board “4InCore” for electrical data acquisition
- IoT sensors measuring voltage, current, power, vibration, temperatures…
- Cloud-based monitoring platform and dashboards
- Real-time and historical electrical data
Technologies leveraged :
- Internet of Things (IoT) for data collection
- Artificial Intelligence and machine learning for anomaly detection
- Embedded systems and industrial communication protocols
Who uses it
- Industrial energy managers
- Factory and facility operators
- Agricultural farm operators
- Energy efficiency consultants and maintenance teams
Examples of field applications
Real-time monitoring of electrical consumption in industrial facilities to detect inefficiencies and abnormal loads.
Detection of electrical anomalies such as phase imbalance, voltage fluctuations, and abnormal current in machines.
Energy performance monitoring and optimization in agricultural farms (irrigation pumps, oil pressure sector).
Support for ISO 50001 energy management through continuous energy data monitoring and analysis.
Impact on the Ground
The system provides real-time visibility into electrical infrastructure, allowing operators to quickly detect anomalies and prevent energy losses or equipment failures. It helps industries and agricultural farms make informed decisions to optimize their energy use and reduce operational costs.
The solution accelerates the digitalization of energy management by transforming electrical installations into connected and intelligent systems. It improves energy efficiency, strengthens system reliability, and supports more sustainable energy operations.
Key figures
Up to 20–30% reduction in energy losses
Real-time monitoring of electrical parameters (voltage, current, power, temperature, vivration, transformer oil level)
Automated anomaly detection using AI analytics
Improved operational efficiency for industries and agricultural farms
Results so far
Development of the 4InCore smart electronic board and integration with IoT sensors for real-time electrical monitoring.
Implementation of an AI-based platform capable of detecting electrical anomalies and analyzing energy consumption data.
Initial pilot deployments in industrial and agricultural environments to validate system performance and energy optimization capabilities.
What’s next
The next phase focuses on scaling the solution through wider deployments in industrial facilities and agricultural farms.
The project also aims to develop partnerships and expand deployments in Sub-Saharan African countries to support energy efficiency and digital energy management.
The integration of SEMS to monitor energy production versus consumption and optimize the use of solar energy.
