Lorgan (www.lorganglobal.com) is an enthusiastic and innovative Artificial Intelligence (AI), Internet of Things (IoT), and Digital organisation based out of Australia. It is markedly different from any analytics, AI, IoT or digital company most likely to have encountered previously.

We strongly believe in combining high quality data with ethical Artificial Intelligence, leveraging which organisations can solve the most complex problems, transforming themselves and their surrounding environments with significant and predictable outcomes.

In the past, we had experienced working with products that were too rigid to handle novel problems, and custom systems that not only took too long to deploy but were extremely expensive requiring too many services to maintain and continuously improve. With this, we saw a strong need for innovative solutions combined with a different kind of technology and we knew it would take a different kind of company to build it. That’s why we founded Lorgan.

Based on our experience, the entire data-driven insights & predictions generation, monetization, and understanding of various patterns in behavioral data in a useful way comes at an exorbitant cost and takes a considerable amount of time for companies to implement.

Lorgan’s Enigma is unique because its the only platform available in the market capable of onboarding configurable Machine Learning right from source data ingestion, feature engineering, onboarding Machine Learning algorithms, and self-service data visualization & exploration for any IoT & AI use case across any industry.

• Smart Parking
• Waste management
• Utilities Leakage detection
• Visitor behavior in prominent places
• Smart Waste management
• Forest Fire Prediction & Detection
• Air Pollution
• Flood Detection and Prediction
• Water Leakages
• Energy Microgrids Optimisation
• Smart Metering
• Radiation Levels
• Supply Chain Control
• Predictive Maintenance (Condition monitoring of equipment)
• Freezer temperature monitoring
• Air Quality monitoring
• Intrusion Detection Systems

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