Compare Conigital vs. Helm.ai

We are revolutionizing urban infrastructure by integrating digital assets, thereby transforming conventional industries for enhanced profitability, social benefits, and sustainability. As a cutting-edge deep tech company specializing in AI-driven autonomous vehicles, we are developing our comprehensive “lift and shift” platform known as ConICAV™, which is adaptable for any vehicle type. Our approach involves either retrofitting existing vehicles or creating custom-built autonomous solutions tailored for various industrial and commercial applications. By leveraging advanced AI and machine learning methodologies, our ConICAV™ platform significantly enhances asset management, elevates customer experience, and boosts operational productivity. Recently, Conigital has achieved a remarkable milestone by securing a £500 million Series A+ funding from a prominent global private equity firm that manages assets worth £150 billion. This substantial investment will accelerate our innovations and expand our reach within the autonomous vehicle market.

We provide licensing for AI software that spans the entire L2-L4 autonomous driving framework, which includes components like perception, intent modeling, path planning, and vehicle control. Our solutions achieve exceptional accuracy in perception and intent prediction, significantly enhancing the safety of autonomous driving systems. By leveraging unsupervised learning alongside mathematical modeling, we can harness vast datasets for improved performance, bypassing the limitations of supervised learning. These advancements lead to technologies that are remarkably more capital-efficient, resulting in a reduced development cost for our clients. Our offerings include Helm.ai's comprehensive scene vision-based semantic segmentation, integrated with Lidar SLAM outputs from Ouster. We facilitate L2+ autonomous driving capabilities with Helm.ai on highways 280, 92, and 101, which encompasses features such as lane-keeping and adaptive cruise control (ACC) lane changes. Additionally, Helm.ai excels in pedestrian segmentation, utilizing key-point prediction to enhance safety. This includes sophisticated pedestrian segmentation and accurate keypoint detection, even in challenging conditions like rain, where we address corner cases and integrate Lidar-vision fusion for optimal performance. Our full scene semantic segmentation also accounts for various road features, including botts dots and faded lane markings, ensuring reliability across diverse driving environments. Through continuous innovation, we aim to redefine the boundaries of what autonomous driving technology can achieve.