arcRider {Data + Design}
GenAI-powered generation of Ninox database models in AWS
Starting point
- ArcRider builds low-code databases for its customers
- Customers have to manually create their Ninox database models
- There are no automated templates or pre-built models to ease the process
- Manually creating the Ninox database models requires time and technical expertise
Role in the project
- Creation of a requirements analysis
- Provision of a business solution design
- Technical design of architecture and software components
- Programming of the customized solution
- The integration of AI models into the platform enables advanced analysis and automated decision-making
Features/Project outcome
- Database models are now created through the seamless interaction between natural language and artificial intelligence (AI)
- Through intuitive visualization, users can easily overview and understand their created database models
- Integration of 'best practices': The AI not only responds to the information provided by the user but also incorporates industry-specific expertise
Customer benefits
- The creation of Ninox database models is significantly eased
- Acceleration of development time for customers and employees
- Integration of quality standards
- Reduction of faulty models
- Increase in customer satisfaction

Nico Inhoffen | Senior Manager