Thaumatec

Thaumatec was hired by BGV, an AI SaaS solution company, to develop a web application and AI mechanism. The purpose was to aggregate data from various public websites into a user-friendly interface and intelligently match data between different sources. The project involved building three core components: the frontend, the backend, and a plugin to integrate AI-driven matching and data scraping. Thaumatec was chosen for their competitive pricing, culture fit, and value for cost. The project was successfully completed, meeting the client's expectations and showing progressive improvements in functionality throughout the development process.

Thaumatec collaborated with Stressie Inc., a corporate wellness platform, to improve the quality of their backend code, implement new features, and increase the overall readability of the application. The scope of work included refactoring the backend codebase structure, implementing new endpoints for app users, improving the performance of already implemented methods in the system, creating API documentation for the Stressie app, and enhancing the readability of the GitHub repository. Thaumatec was selected for their high ratings, culture fit, and referral. The project was successfully completed, achieving all the set goals.

Her-Medical-Aid Gmbh, a digital health platform, partnered with Thaumatec to develop a user-friendly blog platform using Ghost CMS. The goal was to create an interface that aligned with the look and feel of existing Hermeids pages. Thaumatec was responsible for setting up Ghost CMS, customizing the theme to match the client's branding, integrating third-party tools, and providing documentation for managing and using the platform. Thaumatec was chosen due to their high ratings, competitive pricing, and value for cost. The project was successfully completed, meeting all the client's requirements.