Radency

Radency was hired by OwnerChip, a tech startup focused on authenticating and trading high-value physical goods, to speed up their time-to-market and provide flexible labor through Flutter development. Radency was selected for their cultural fit and assigned one employee to the project. The project involved building a modern web app to complement OwnerChip's existing mobile apps, enhancing the mobile app to work seamlessly with the new web app using websockets, and modifying the nestJS based backend to function with the new web app. The client found Radency through LinkedIn and was pleased with the outcome.

In another project, Radency was tasked by an AI company to improve the UX/UI of their MLOps platform. The company, which specializes in AI recognition of targets, chose Radency for their competitive pricing and aligned company values. The team of 2-5 from Radency was able to enhance the UI/UX of the platform to the client's satisfaction. The client found Radency on LinkedIn and appreciated the value they received for their budget.

Fynlo AI Ltd, a company dedicated to accurately measuring and reporting vehicle emissions, hired Radency for custom software and API development. The goals were to connect to a live API, achieve live data flow with a moving vehicle, improve calculation accuracy, and identify future features. Radency, chosen for their high ratings, good value for cost, and aligned company values, assigned 2-5 employees for this project. Eduard from Radency took the lead in building out the prototype software to be customer-ready, improving API connection procedures, and clarifying next steps with a proactive approach. The client, who found Radency through a referral, was satisfied with the results.