Innoviz Technologies Partners with Vueron to Enhance AI Development for Automotive and Smart Infrastructure
Innoviz Technologies Ltd. (Nasdaq: INVZ) has announced a strategic partnership with Vueron Technology Co. Ltd. aimed at transforming the integration of high-performance LiDAR data into AI applications. This collaboration focuses on building a cloud-based environment for the integration of Innoviz's LiDAR solutions, specifically InnovizTwo and InnovizSMART, into Vueron’s VueX AI development platform. The agreement was revealed today, heralding a significant advancement in automated data annotation and training capabilities for automotive manufacturers and smart infrastructure operators.
Accelerating LiDAR-Based Perception Development
The integration of Innoviz's LiDAR technology into Vueron's VueX platform simplifies the complex process of annotating and labeling sensor data, fostering rapid development of AI models. This joint solution automates the annotation of LiDAR point clouds, incorporating bounding boxes and object classifications, thereby reducing manual labor while retaining critical accuracy for safety-sensitive applications. Users can seamlessly upload Innoviz LiDAR data to the cloud-based VueX environment, leveraging advanced tools designed for optimal data processing and fine-tuning.
Building on Established Relationships
This collaboration builds on a successful prior interaction where Innoviz's first-generation LiDAR, InnovizOne, was effectively utilized within Vueron's autonomous driving platform. Now, developers can employ InnovizTwo for automotive scenarios and InnovizSMART for smart infrastructure applications, effectively creating an end-to-end AI-driven environment for data handling and utilization.
Leadership Insights on the Partnership
Omer Keilaf, CEO and Co-Founder of Innoviz, commented, "Our collaboration with Vueron represents an important step in making advanced LiDAR technology more accessible and easier to deploy. By integrating our automotive-grade sensors with Vueron's powerful AI development tools, we're enabling our customers to accelerate their development timelines and potentially reduce the complexity of bringing perception systems to market."
Noah Jang, SVP of Global Business at Vueron, added, "Integrating Innoviz's high-performance LiDAR data into our VueX platform allows us to offer customers a comprehensive AI-based solution across automotive and infrastructure applications."
Upcoming Live Demonstration at CES 2026
The joint solution will be showcased live at Vueron’s booth (LVCC, West Hall #3569) during CES 2026 in Las Vegas, taking place from January 6-9. Attendees will have the opportunity to explore the integrated platform and examine various use cases in both automotive and smart infrastructure domains.
About Innoviz Technologies
Innoviz is a global frontrunner in LiDAR technology, recognized as a Tier-1 supplier for major automotive manufacturers. The company is committed to paving the way for a future characterized by safe autonomous vehicles. Its LiDAR and perception software surpass human visual capabilities, significantly reducing error margins, and adhere to the automotive industry's strict safety and performance standards globally. To learn more about Innoviz, visit innoviz.tech.
About Vueron Technology
Vueron focuses on constructing perception and data infrastructure for practical autonomy solutions. By leveraging extensive experience in fields like autonomous driving and AI, Vueron assists teams in bridging gaps in perception and deployment. The transformation of raw LiDAR data into actionable AI-based outputs empowers original equipment manufacturers (OEMs), Tier-1 suppliers, and infrastructure operators, enhancing efficiency and reducing engineering burdens.
Conclusion
The partnership between Innoviz (INVZ) and Vueron stands to streamline the process of adopting AI-powered LiDAR technologies, supporting advancements in safety and efficiency in both automotive and smart infrastructure sectors. This innovative collaboration reflects a commitment to driving the future of autonomous technologies forward.