AI - Case Study
NBULA - An AI Application in 8 clicks



About CNTXT
CNTXT is a technology company focused on empowering businesses with cutting-edge digital solutions. Based in Saudi Arabia, CNTXT specializes in cloud computing, artificial intelligence, and advanced software platforms, helping organizations transform their operations and unlock their full potential. With a strong emphasis on collaboration and innovation, CNTXT partners with leading technology providers like Google Cloud and Aramco to deliver tailored solutions for industries such as energy, logistics, and manufacturing.
MY role
As the lead product designer, I collaborated closely with engineers, data scientists, and user researchers. My responsibilities included:
- Conducting user research to understand the needs and pain points of our target audience.
- Designing wireframes and prototypes to visualize the user journey.
- Iterating on designs based on user feedback and testing.
- Ensuring a seamless and intuitive user experience from onboarding to deployment.


the challenge
Developing AI applications traditionally required extensive coding expertise, creating a barrier for many potential users. Our goal was to democratize AI by designing a platform that allowed users to build, test, and deploy AI applications with minimal coding. We aimed to create an intuitive interface that would enable users to: Easily integrate various AI models. Monitor and debug AI workflows efficiently. Deploy reliable AI features swiftly.


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Research and Insights
Interviewed a diverse group of potential users, including AI researchers, data analysts, and business professionals.
Complexity of Existing Tools: Many users found current AI development platforms overly complex and not user-friendly.
Desire for Integration: Users wanted a platform that could easily integrate with various AI models and data sources.
Need for Real-Time Monitoring: Efficient debugging and monitoring of AI workflows were critical for users to trust and rely on the platform.
Key Features

500+
Users onboarded:
4,200
AI workflows created
$1.8M Annually
Expected Cost savings for enterprises




