Exposit

Exposit collaborated with Wizart Inc., a company that provides hi-tech solutions for visualizing finishing materials and home decor. The main objective was to develop a product MVP. Starting from scratch, Exposit and Wizart worked together to identify the best technology approach. The team at Exposit designed a unique data processing, training, and modeling process based on ready-made software. They collected and labeled photos to build a dataset for model training. The developed algorithm preserved the room's shadows, scale, and perspectives. The project resulted in a web demo, a widget for instant wallpaper modeling, and an AI-driven iOS app based on a convolutional neural network running on mobile devices.

In a different project, Exposit worked with freshtrade to develop an MVP for an e-commerce site aimed at reducing food waste. The project required requirements engineering, UX design, DevOps, programming, testing, and bug fixing. The goal was to build a platform from scratch. Exposit was chosen for their budget-friendly pricing, great culture fit, and good value for cost. The team consisted of 2-5 employees who successfully delivered the project as per the requirements.

Exposit also provided ML project consultancy services to Bamboo Group OÜ, an international IT company providing digital products and services. The project involved using ML to count the number of streetlights for a customer in the Arab state. The Exposit team interviewed Bamboo's developers, inspected their dataset, analyzed their workflow, and identified existing and potential pitfalls. This project was successfully delivered with the Exposit team providing valuable insights and solutions to the challenges faced during the project.