3axislabs

GoMicro is a deep tech company developing AI Assessment solutions for the agri value chain, they are a successful startup with a patent-pending technology, headquartered in Australia and has branches in the United States and Singapore. Their phone-based AI assessment technology allows their customers to assess the quality of Grains, Fruits, Vegetables, and Seafood.

View Case study - https://3axislabs.com/case-studies/go-micro

The client approached 3axislabs with a clear vision to develop a mobile app; “GoMicro Assessor'' and its backend, powered by their own cutting-edge AI model and patent-pending imaging technology. 

GoMicro assessor's goal is to enable farmers and enterprises to asses the freshness and quality of grains by providing them with real-time data on the assessment of produce. Below are the main objectives of GoMicro, regarding their project.

1. Cross-platform Mobile Application Development
2. Backend and API Development
3. Automated AI Model Deployment
4. On-demand Support and Maintenance

To achieve the above objectives, we began the process with a high-fidelity UI design in Figma which helped us to understand the Idea better and to visualize the user flows of the mobile app.

3axislabs was responsible for the UI design, Mobile app development, Backend development, and Integrating and Automating the AI model deployment.

The following key technologies were utilized for the development of the GoMicro assessor app:

1. Python
2. TensorFlow
3. Flutter
4. Spring Boot
5. AWS EC2, S3, Cognito, DynamoDB

Our custom solutions helped GoMicro to achieve its goals and reach business values, let's have a look into the brief breakdown of how we helped GoMicro.

1. Faster time to market.
2. Optimized the response time and automated deployment.
3. High-quality development at the most affordable cost.
4. Continuous support and maintenance on demand.

In conclusion, we helped GoMicro to launch the product in a short period. GoMicro Assessor enables farmers and enterprises to assess the freshness and quality of grains throughout the supply chain which helps them to reduce the quality assessment time by automating the manual quality assessment process which is time-consuming and increases profitability.