Executive Summary
Cornelius Innovations Group (CIG) is at the forefront of AI-driven robotics and automation, specializing in the creation of digital twins, real-time control platforms, and synthetic data training systems. Our mission is to accelerate the development and deployment of autonomous systems by leveraging cutting-edge machine learning algorithms, customized hardware, and high-fidelity simulations.
Our Approach
Digital Twin Technology: We create detailed 3D digital twins of automation hardware and robotics using CAD and 3D scanning. These models serve as the foundation for our AI training environments and real-time control systems. By simulating real-world conditions, we provide our clients with powerful tools for predictive maintenance, performance optimization, and continuous system feedback.
AI Model Training: Our AI training pipeline integrates synthetic data, human input, and a variety of machine learning techniques—such as imitation learning, reinforcement learning, and curriculum learning—to rapidly scale and iterate models. This approach ensures our AI agents are equipped to tackle specific automation tasks efficiently and effectively. We provide both simulation-based learning and real-world applications, allowing for the seamless transition between controlled environments and real-world automation systems.
Custom & Third-Party Hardware Integration: CIG designs and builds proprietary robotic systems, including humanoid arms and 3-axis gantries, tailored for specialized tasks. Our hardware is trained using the same advanced AI pipeline, ensuring optimal synergy between the physical and digital components of each system. Additionally, we are skilled in integrating with third-party hardware, allowing for the flexibility to adapt to diverse industry needs.
CIG is actively expanding its presence in both the industrial and consumer sectors. We are currently collaborating with industrial automation partners to develop solutions for automated palletizers, and with leaders in the restaurant and entertainment industries for kitchen automation projects. Our ability to scale these technologies into diverse applications, such as automated food trucks, highlights our vision for building flexible, multi-industry AI robotics solutions. By continually refining our AI models and hardware systems, we aim to lead the way in creating intelligent automation solutions that optimize performance, enhance flexibility, and reduce operational costs across industries.
