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What is Helm.ai?
We offer licensing for AI software that encompasses the entire framework of L2-L4 autonomous driving, which consists of essential elements such as perception, intent modeling, path planning, and vehicle control. Our solutions excel in delivering outstanding accuracy in both perception and intent prediction, which greatly boosts the safety levels of autonomous driving systems. By utilizing unsupervised learning combined with robust mathematical modeling, we effectively tap into extensive datasets to enhance performance while avoiding the constraints of supervised learning. These innovations result in technologies that are significantly more cost-effective, ultimately lowering development expenses for our clients. Our product lineup features Helm.ai's all-encompassing scene vision-based semantic segmentation, which is integrated with Lidar SLAM outputs from Ouster for optimal functionality. We enable L2+ autonomous driving capabilities with Helm.ai on major highways, including 280, 92, and 101, which offer advanced features like lane-keeping and adaptive cruise control (ACC) lane changes. Moreover, Helm.ai stands out in pedestrian segmentation, applying key-point prediction techniques to bolster safety measures. This includes the ability to perform sophisticated pedestrian segmentation and precise keypoint detection even in adverse weather conditions such as rain, where we address corner cases and fuse Lidar with vision for the best possible performance. Our comprehensive scene semantic segmentation also considers various road features such as botts dots and faded lane markings, ensuring dependable operation in a range of driving environments. With an unwavering commitment to continuous innovation, we strive to push the limits of what autonomous driving technology can accomplish and remain dedicated to improving user experience and safety on the roads.
What is Conigital?
We are transforming urban infrastructure through the integration of digital assets, which revitalizes traditional industries for greater profitability, societal benefits, and environmental sustainability. As an innovative deep tech firm focused on AI-powered autonomous vehicles, we are creating our all-encompassing “lift and shift” platform, ConICAV™, designed to be compatible with any type of vehicle. Our strategy includes retrofitting current vehicles as well as developing bespoke autonomous solutions suited for a variety of industrial and commercial needs. By utilizing state-of-the-art AI and machine learning techniques, our ConICAV™ platform greatly improves asset management, enhances customer experiences, and increases operational efficiency. Recently, we reached a significant milestone at Conigital by securing £500 million in Series A+ funding from a leading global private equity firm that oversees assets totaling £150 billion. This considerable investment will not only expedite our innovative endeavors but also broaden our influence in the autonomous vehicle sector. With this funding, we are poised to push the boundaries of technology and redefine standards in the industry.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Helm.ai
Company Website
www.helm.ai/technology/
Company Facts
Organization Name
Conigital Group
Date Founded
2015
Company Location
United Kingdom
Company Website
conigital.org