We have served our clients in a variety of industries, including: Healthcare, Industrial, and Other Businesses. Some of the projects carried out are mentioned below.

Solutions in the field of health care

• We developed an AI platform called Neverblind (www.neverblind.ai for early detection and prevention of diabetic retinopathy. The system has two AI systems, the first uses deep learning algorithms to detect abnormalities, subsequent analysis by ophthalmologists. The second AI-powered system uses machine learning algorithms to predict a patient's risk of developing diabetic retinopathy based on their medical data stored in their medical records.
• We created an AI-powered system for a healthcare facility to optimize medication management by using them more efficiently. The system uses machine learning algorithms to analyze the medication management of various patients and identify areas for improvement, leading to cost reduction and better use of resources in the medication allocation process.
• We have developed a system for the early detection of acromegaly, a rare disease, using images of the patient's face to identify changes in facial features associated with acromegaly. The system predicts the risk of developing the disease based on people's chronological facial images.
  
  

• We developed an AI system for a manufacturing company to optimize production processes. The system uses computer vision to calculate the volume of an object with a specific region of interest in real time, enabling fast and reliable volume quality control.
• We developed an AI-powered quality control system for a manufacturing company to reduce defects and improve product quality. The system uses computer vision and machine learning algorithms to analyze point cloud images obtained from our client's object. The objective was to identify defects that exceeded certain minimum measurements that would allow quick adjustments and improvements in the manufacturing process.
• We developed an AI-powered system for a wine bottle manufacturer to detect defects during the process of affixing labels to the bottle. The system uses computer vision algorithms to analyze product images and identify defects, improving product quality and reducing waste.
  
  

• We developed a system powered by artificial intelligence to predict traffic congestion and improve transportation planning. The system uses machine learning algorithms to analyze traffic data and predict future congestion levels, allowing the city to optimize transportation planning and reduce traffic delays.
• We created an AI-powered system for a company to monitor social media for people's insights from their tweets. The system uses machine learning algorithms to analyze social media data and identify posts that may indicate sentimental analysis, allowing the company to learn people's perceptions in real time.
• We developed an AI-powered system to detect abnormal situations, such as people or vehicles located in restricted areas. The system uses deep learning algorithms to detect objects, enabling early identification of potential security threats.