Transformative Success Stories: Case Studies
Discover How Okikiolu Technologies Inc. Empowered Governments and Corporations Through Innovation
Case Study: Collabr – Empowering Data Scientists with AI Platform-as-a-Service
Challenge
Data scientists face significant challenges in setting up and managing the infrastructure required for AI and ML models. The process is often time-consuming and resource-intensive and hinders the rapid development of cutting-edge solutions.
Solution
Introducing Collabr, our revolutionary AI Platform-as-a-Service. Collabr empowers data scientists to effortlessly spin up infrastructure tailored to their specific AI and ML model requirements. By abstracting away the complexities of infrastructure management, Collabr enables data scientists to focus on their core expertise – exploring data, building models, and driving valuable insights.
Impact
Collabr’s impact has been remarkable. Data scientists can now streamline their workflow, reducing the time for infrastructure creation and maintenance by an impressive 90%. This significant time-saving allows data scientists to iterate more quickly, experiment with diverse approaches, and deliver innovative solutions faster than ever before.
Case Study: Empowering Real-Time AI on Nvidia Jetson with Embedded Tensor Library
Challenge
Traditional AI image model inferencing tasks like Object Detection and Pose Detection require substantial computing power, making real-time execution in low-power embedded environments a significant challenge.
Solution
Our embedded tensor library for the Nvidia Jetson brings real-time AI inferencing within reach. By harnessing the power of the Jetson platform, this library enables low-power embedded devices to process complex AI tasks efficiently. This breakthrough technology opens up new possibilities for real-time AI applications in resource-constrained settings.
Impact
The impact of our embedded tensor library has been transformative. Low-power devices can now execute real-time AI image models with remarkable accuracy, enabling applications such as surveillance, robotics, and smart devices to make critical decisions in real time.
Case Study: Simplifying Complex Cybersecurity Testing with AI-based SaaS
Challenge
Conducting AI-based penetration tests on low-power, distributed IoT devices has traditionally been complex, requiring extensive infrastructure and specialized expertise.
Solution
Our Cybersecurity Software-as-a-Service abstracts away this complexity, making sophisticated AI-based penetration testing accessible to a broader audience. The system dynamically scales its complex infrastructure, reducing costs and enabling the average person to conduct robust cyber-security tests.
Impact
Our SaaS solution has democratized cybersecurity testing, empowering organizations and individuals alike to enhance their IoT device security. With the ability to efficiently detect vulnerabilities and weaknesses, our Cybersecurity SaaS contributes to a safer and more secure IoT ecosystem.