Marvik

Marvik was hired by GU Trade, a mass consumption and distribution firm, to automate the physical counting process of products across different brands. The company developed a system using computer vision techniques to determine the share of a given brand’s shelf at supermarkets. The project involved Marvik's CTO, a Delivery Manager, and a development team. The technologies used included Python, OpenCV, Tensorflow, Keras, and Pytorch, and the system was deployed to Azure. The client praised Marvik for their deep knowledge in machine learning and computer vision, as well as their commitment and readiness to help.

A UK-based SaaS company specializing in aging and lifestyle effects engaged Marvik to revamp their outdated aging effects and implement neural and generative adversarial networks in their service. The company found Marvik's solution to be a good balance between quality, cost, and speed. The partnership started in January 2020 and is ongoing, with an investment of approximately $11,000 USD. The client mainly worked with Marvik's Co-founder & CTO, and CEO. The client chose Marvik due to their previous similar work and their confidence in delivering the required results.

Inno-Aut, a technology products company for the autistic and neurodivergent community, hired Marvik to implement AI solutions. Marvik designed and built a serverless chat-agent backend in Python (AWS Lambda) that integrates with Inno-Aut's existing chat agent. The project also involved connecting multiple OpenAI models for context-aware dialogue, dynamic prompt engineering, and fallback handling. Despite the challenges of coordinating with an external mobile-app team and working under tight budget constraints, Marvik successfully delivered a robust, production-ready chat service module. The client chose Marvik for their budget-friendly pricing, good value for cost, and aligned company values.