Deepen AI Introduces Innovative Safety Solutions for Robotics at CES 2026
Deepen AI, recognized as a leading full-stack data lifecycle platform for autonomous vehicles (AVs) and robotics, is making waves at CES 2026 by unveiling its latest innovations aimed at enhancing safety and operational efficiency. The company, which has established a robust reputation within the industry, is set to demonstrate how its platform advancements can significantly improve the reliability of sensor fusion, streamline calibration processes, and elevate deployment confidence in safety-critical environments.
In recent years, as the integration of autonomous technologies expands into various sectors including public transport and industrial operations, the demand for higher standards of repeatability, validation, and auditability has surged. Deepen AI's platform seeks to address these challenges across the entire data lifecycle—from sensor fusion and annotation to calibration and validation—thus enabling teams to operationalize autonomous systems beyond mere pilot projects.
Mohammad Musa, Founder and CEO of Deepen AI, emphasized the company’s focus on real-world applications, stating, “Autonomy doesn’t scale on demos, it scales by addressing as many real-world scenarios as possible.” At CES 2026, the team will showcase practical capabilities essential for deploying safety-critical systems in various environments, including live demonstrations of two significant solutions: Targetless Calibration and the Vision Language Action (VLA) framework.
One of the standout features at Deepen AI’s booth is the live demonstration of Targetless Calibration. This innovation allows visitors to physically adjust sensor positions and see how Deepen’s system automatically calibrates multiple sensor modalities to each other. This improvement is designed to minimize downtime, complexity, and error during calibration in real-world autonomous vehicle operations, making it a game-changer for developers and operators alike.
Additionally, attendees can look forward to an exclusive preview of Deepen AI’s forthcoming Vision-Language-Action framework. This groundbreaking tool aims to integrate multi-sensor data with enhanced understanding and action planning capabilities for autonomous robotic systems, paving the way for more sophisticated and effective robotics solutions.
Furthermore, Deepen AI is broadening its Safety Pool™ integration with leading World Foundation Models. This expanded scenario library will support testing and safety assurance initiatives for autonomous vehicle development programs, highlighting the increasing need for rigorous data lifecycle management and validation as the industry transitions from controlled pilots to scaled, regulated operations across various sectors including mobility, logistics, and manufacturing.
The progress demonstrated by Deepen AI is reflective of a broader industry trend where programs are evolving from mere testing phases to full-scale, regulated deployments. The bottleneck currently lies in effective management of data lifecycle processes such as annotation, calibration, validation, and adherence to safety assurances—all critical requirements in today’s operational landscape.
At CES, Deepen AI’s team will be available at LVCC, West Hall, Booth 3161, to engage with attendees, provide live demonstrations, and offer executive briefings focused on these pivotal developments. To arrange a meeting or a booth demo, interested parties are encouraged to reach out to the company via their press contacts.
In a rapidly evolving technological landscape, the tools and services provided by Deepen AI are crucial to ensuring the safe and efficient deployment of autonomous systems, which is vital for any organization looking to break into this transformative space.
Visit www.deepen.ai for more information on their products and services. As the race towards widespread adoption of autonomous technology continues, Deepen AI remains at the forefront, leading the charge in safety-first data lifecycle solutions for the future of robotics and autonomous vehicles.
In recent years, as the integration of autonomous technologies expands into various sectors including public transport and industrial operations, the demand for higher standards of repeatability, validation, and auditability has surged. Deepen AI's platform seeks to address these challenges across the entire data lifecycle—from sensor fusion and annotation to calibration and validation—thus enabling teams to operationalize autonomous systems beyond mere pilot projects.
Mohammad Musa, Founder and CEO of Deepen AI, emphasized the company’s focus on real-world applications, stating, “Autonomy doesn’t scale on demos, it scales by addressing as many real-world scenarios as possible.” At CES 2026, the team will showcase practical capabilities essential for deploying safety-critical systems in various environments, including live demonstrations of two significant solutions: Targetless Calibration and the Vision Language Action (VLA) framework.
Targetless Calibration: Revolutionizing Sensor Setup
One of the standout features at Deepen AI’s booth is the live demonstration of Targetless Calibration. This innovation allows visitors to physically adjust sensor positions and see how Deepen’s system automatically calibrates multiple sensor modalities to each other. This improvement is designed to minimize downtime, complexity, and error during calibration in real-world autonomous vehicle operations, making it a game-changer for developers and operators alike.
Vision-Language-Action Framework: The Future of Robotics
Additionally, attendees can look forward to an exclusive preview of Deepen AI’s forthcoming Vision-Language-Action framework. This groundbreaking tool aims to integrate multi-sensor data with enhanced understanding and action planning capabilities for autonomous robotic systems, paving the way for more sophisticated and effective robotics solutions.
Expanding Safety Pool™ Integration
Furthermore, Deepen AI is broadening its Safety Pool™ integration with leading World Foundation Models. This expanded scenario library will support testing and safety assurance initiatives for autonomous vehicle development programs, highlighting the increasing need for rigorous data lifecycle management and validation as the industry transitions from controlled pilots to scaled, regulated operations across various sectors including mobility, logistics, and manufacturing.
Industry Shift: Demand for Robust Data Solutions
The progress demonstrated by Deepen AI is reflective of a broader industry trend where programs are evolving from mere testing phases to full-scale, regulated deployments. The bottleneck currently lies in effective management of data lifecycle processes such as annotation, calibration, validation, and adherence to safety assurances—all critical requirements in today’s operational landscape.
At CES, Deepen AI’s team will be available at LVCC, West Hall, Booth 3161, to engage with attendees, provide live demonstrations, and offer executive briefings focused on these pivotal developments. To arrange a meeting or a booth demo, interested parties are encouraged to reach out to the company via their press contacts.
In a rapidly evolving technological landscape, the tools and services provided by Deepen AI are crucial to ensuring the safe and efficient deployment of autonomous systems, which is vital for any organization looking to break into this transformative space.
Visit www.deepen.ai for more information on their products and services. As the race towards widespread adoption of autonomous technology continues, Deepen AI remains at the forefront, leading the charge in safety-first data lifecycle solutions for the future of robotics and autonomous vehicles.
Topics Consumer Technology）
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