Case Studies

An ad agency owner wanted to see the detailed insights of the campaigns they run, so they needed a tool that could provide them with campaign analytics.

Timur Restaurant contacted us to automate responses to common inquiries. The restaurant owner repeatedly answered the same questions, and missed chats resulted in lost covers. This created inefficiencies and negatively impacted customer service during busy times.

Account managers at Foxergo were burning hours writing post-campaign and weekly reports. The work was dull and often resulted in hours of manual work.

Our system uses several cameras to turn people and their surroundings into accurate 3D models, making complicated scenes easier to work with. We believe in keeping advanced technology accessible for everyone.

Our mask detection system uses facial recognition and computer vision to spot missing face masks and sends alerts when needed. The system works for businesses and different public sectors.

We combined a Python script and AI tools to automate ad design, script writing, and video editing. This change cut manual work by 50%, 2x video editing speed, and allowed the agency to take on more clients without growing their team.

Our CRM and project management system improved the business by simplifying operations and raising productivity to a new level.

Our contract automation system helped a commercial real estate company by cutting the time brokers spend on contracts. Now brokers can focus on closing deals and pursuing new opportunities.

We built a multi-channel sales platform to help the company switch from managing leads by hand to using an automated one. This case study shows how the new system engages leads across various channels and boosts the rate at which leads turn into calls.

Our team built a machine learning model that accurately detects hands and checks glove use, making it easy to integrate into everyday operations across different industries. It works well in many places, such as offices, schools, hospitals, and even risky work sites.

Learn how switching from a manual process to an automated system improved client reporting and data management for a company that serves over 1,000 clients a week. This study explains how custom software was built to combine tasks and automate work, cutting costs and speeding up operations.

The path through market segmentation models was full of challenges. Still, combining expert knowledge with fresh ideas led to a new framework. The RFM-based Customer Segmentation Model turned out to be a useful tool. It helped the client find valuable customer groups for more focused marketing.

We built an eCommerce platform that goes beyond regular online shopping by offering an immersive try-on experience. To develop this tool, our team used advanced machine learning for body segmentation and garment projection. This ensured every item fit the user’s live image perfectly.

As a top-rated AI development company, we built a machine learning water leakage detection system to stop leaks in toilet tanks and prevent property damage. During development, the team had to deal with fitting a heavy ML model into a device with limited memory. They also worked on keeping it connected to the internet at all times for it to work well. However, in the end, we have achieved the client’s goal.

Building this platform wasn’t easy. We had to collect and organise data and work with different document formats. However, we made progress on several tough challenges. In fact, we did a reduction in search times from a lengthy 20 minutes to a mere 0.2 seconds.

Our AI tools helped a traditional car dealership work faster and make smarter decisions when buying and selling cars. Using SQL for data mining and combining clustering methods (DB scan, Agglomerative clustering, K-means) with Ensemble learning, our team built a new algorithm.