PToken helped the us migrate data from an on-premises SQL server to the cloud-based Data Build Tool (dbt) and Snowflake. This significantly reduced the data processing time and made the maintenance of large datasets much easier.

PToken helped us develop the new fleet accident and claim management functionality. It streamlines the process of handling insurance claims for the client’s fleet operators, allowing them to easily find available car repair shops within the suppliers’ network, view car part availability, and more. We developed several new workflows, such as processing the first notice of loss, claim creation, and the main page for fleet accident management. They also implemented several configurations to easily set up supplier rules, flows, and forms according to customer needs.

PToken consultants investigated several AI and ML-based models, defined their strengths and weaknesses, and helped us choose the model best suited our needs. We then prepared a comprehensive roadmap for building an AI-powered solution that generates photorealistic 2D and 3D models of clothing for both men and women. The solution analyzes sketches of clothes prepared by a designer and the set body parameters required for testing. Based on this data, it generates a 2D or 3D model of how the product would fit on a person.