AI-powered 360° construction site documentation and reality capture platform for progress tracking and digital twin creation.
OpenSpace, founded in 2017 and headquartered in San Francisco, California, develops an AI-powered reality capture platform for the construction industry. Users attach 360° cameras to hard hats while walking a job site; the platform's Spatial AI engine automatically stitches images and maps them to floor plans and BIM models. The system generates Google Street View-style walkthroughs of construction sites that update continuously throughout a project lifecycle, enabling remote project management and progress verification.
AI-powered analytics compare site captures against BIM designs to identify deviations and generate automated reports. The platform supports capture from smartphones, 360° cameras, drones, and laser scanners. OpenSpace has raised over $199M through Series D financing and serves more than 186,000 users across 93 countries.
Primary type & automation activities this supplier delivers:
360° reality capture platform for automated construction site documentation mapped to floor plans and BIM models.
AI-powered construction analytics comparing site captures to BIM for automated progress reporting and issue detection.
Contact OpenSpace AI
WEBSITE
https://www.openspace.aiPHONE
2017 190HEADQUARTERS
United States
Company Facts
Founded
2017
Primary Role
Software/Algorithm
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
-
Funding Total
-
Hyundai Mobis showcased approximately 40 smart manufacturing technologies at the M-Sphere 2026 exhibition, highlighting the integration of artificial intelligence, robotics, and digital twins in automotive parts production. The event, held at the Quantum Center in Uiwang, Gyeonggi Province, attracted around 1,000 industry officials, including partners, under the theme 'Beyond Challenge, Into Reality.' The significance of this exhibition lies in Hyundai Mobis's commitment to enhancing manufacturing efficiency and safety through innovative technologies. Among the featured technologies was an autonomous transport robot currently being tested at the Ulsan chassis module plant, capable of independently locating and transporting components weighing up to 20 kilograms. This advancement aims to improve parts delivery accuracy while minimizing safety risks for workers. Looking ahead, Hyundai Mobis plans to further implement AI and digital twin technologies in production environments to bolster its manufacturing competitiveness. No further timeline was disclosed at the time of publication.
KoreaHerald.com Just now All NewsThe KUAVO-VLA1.0 model can perceive images, follow instructions, and understand environments, but it must adapt to specific factory conditions such as arm length and joint movement before being deployed. This adaptation process involves retraining for new tasks, which increases costs and learning time for factories. The complexity arises from the need for robots to relearn basic operations when faced with new tasks, despite the fundamental actions remaining unchanged. The KUAVO-VLA1.0 has utilized over 600 hours of high-quality data to cover 100 industrial tasks, allowing it to continuously learn and refine its operational capabilities. Looking ahead, the integration of domain-specific models alongside general models represents a shift in the development of embodied intelligence. The focus is on reusing learned capabilities to minimize retraining, which is crucial for enhancing efficiency in industrial applications. No further timeline was disclosed at the time of publication.
leaderobot.com 3 hours ago Industrial Robots Embodied Intelligence Automation Technology Robotics DevelopmentThe second World Robot Games in Beijing saw Japan's GMO Internet Group participate with its robot 'Hitomin', which utilizes the Yushin G1 hardware. The robot's control and gait algorithms were developed by GMO. In the semifinals, it fell during the 400-meter race and completed the 1500 meters in 7 minutes and 43.89 seconds, finishing third in its group and seventh overall. Engineers noted that long-distance thermal management remains unresolved. This participation is significant as it highlights Japan's reliance on Chinese hardware for its only competing robot, raising mixed reactions domestically. While Japan was once a leader in humanoid robotics with ASIMO, the current scenario reflects a shift in competition dynamics, focusing on the capabilities of the hardware and the effectiveness of control algorithms. Looking ahead, the competition emphasizes the importance of producing adaptable and modifiable robot platforms. The success of the Yushin G1 as a base for various software applications from different countries indicates a new phase in humanoid robotics, where the focus is on mass-producible hardware and the ongoing battle for software and ecosystem development. No further timeline was disclosed at the time of publication.
leaderobot.com 3 hours ago Humanoid Robots Robotics Competition Robot Hardware AI Software DevelopmentOn August 24, Xinhai Map established a new entity in Hangzhou, marking a significant regional expansion. Founded in September 2023, this Tsinghua University-affiliated embodied intelligence company achieved a valuation exceeding 20 billion yuan after completing a B+ round of financing in April 2026, with total funding nearing 5 billion yuan, making it one of the fastest-growing unicorns in the sector. The high valuation of nearly 20 billion yuan is not primarily based on large-scale commercial revenue but rather reflects the capital market's confidence in its model-first approach. Xinhai Map's move to Hangzhou signifies a shift in focus from laboratory demonstrations and research clients to real-world testing in urban environments. Unlike many domestic humanoid robotics startups that concentrate on hardware aesthetics and visual effects, Xinhai Map emphasizes foundational algorithms, prioritizing its VLA visual-language-action model and high-speed world model over hardware iterations. Looking ahead, Xinhai Map's strategy involves collecting operational data in open environments using its R1 and R1-Pro wheeled dual-arm robots while also providing the open-source GOD dataset, which has seen over 600,000 downloads. As the industry landscape evolves, with a shift from centralized hubs to multi-location development, the ability to adapt to real-world scenarios and continuously iterate models will be crucial for long-term success.
leaderobot.com 3 hours ago Embodied Intelligence Robotics AI Machine Learning Data ScienceMicrosoft announced an update for Microsoft Excel on August 25, 2026, enhancing the capabilities of Copilot. The new features include improved change history management, undo functionality, enhanced operations for pivot tables and charts, and the integration of Python for data analysis. This update is significant as it allows users to better manage their data and streamline their workflows within Excel. The enhancements reflect user feedback and aim to improve the overall experience of utilizing Copilot for various tasks, including data visualization and analysis. Looking ahead, Microsoft plans to continue gathering user feedback through its 'Feedback in Action' initiative. No further timeline was disclosed at the time of publication.
ITmedia.co.jp 6 hours agoChinese AI company MiniMax announced a remarkable 703.1% increase in revenue from its open platform and enterprise AI services for the first half of 2026, reaching US$73.9 million. This segment now represents 63.4% of the company's total revenue, a significant rise from 30.3% in the same period last year. The surge in revenue is attributed to the growing demand for AI solutions, with revenue from AI-native products also seeing a substantial increase of 100.9% to US$42.6 million. Additionally, MiniMax's gross profit soared by 464.8% to US$20.8 million, highlighting the company's strong performance in the AI sector. Looking ahead, MiniMax's focus on expanding its enterprise AI and open-platform services could further enhance its market position. No further timeline was disclosed at the time of publication.
TechNode.com 6 hours ago News FeedThe WAIC 2026 event showcased a significant emergence of robotic forms, attracting numerous data-seekers despite the absence of robots at some booths. This highlights a growing interest in embodied intelligence and its market potential. The event's focus on embodied intelligence underscores the importance of timing in capitalizing on market trends. With a reported funding of 5 billion and a valuation of 20 billion in the edge intelligence sector, the market is poised for a critical evaluation phase. Looking ahead, industry observers should monitor how these developments in embodied intelligence will influence future investments and market strategies. No further timeline was disclosed at the time of publication.
leaderobot.com 6 hours ago Robotics Automation AIMIT engineers have developed a new set of modular components, termed 'bifur-circuits,' that enable the creation of reconfigurable smart devices. These components maintain electrical connections regardless of the shape the device takes, allowing for innovative designs such as assistive furniture and adaptable robotic grippers. The significance of this development lies in its potential to revolutionize the design of interactive devices that can sense their own configurations without external wiring. This modularity could lead to advancements in various applications, including smart furniture that aids in recovery and antennas that adjust their frequencies based on environmental changes. Looking ahead, the research team plans to present their findings at the ACM Symposium on User Interface Software and Technology. The implications of their work suggest a future where mechanical metamaterials can be utilized to embed intrinsic intelligence into hardware, expanding the possibilities for smart device design and functionality.
MITNews 12 hours ago Research Materials science and engineering Maker movement Human-computer interaction Electronics Computer science and technologyIDS Imaging Development Systems GmbH has introduced the Nion, a new industrial time-of-flight (ToF) camera featuring 1.2-megapixel resolution and integrated depth processing. The Nion camera is now in series production and delivers high-resolution, stable depth information at 30 frames per second, even during rapid movements and varying lighting conditions. The introduction of the Nion is significant for industries requiring precise 3D data at real-world speeds, including logistics, automation, and robotics. Patrick Schick, product manager at IDS, emphasized that the Nion provides reliable depth data under variable lighting, which is crucial for automation processes that depend on fast and accurate 3D information. Looking ahead, the Nion's compact design and rugged IP67-rated housing make it suitable for demanding environments, while its Power over Ethernet (PoE) capability simplifies installation. No further timeline was disclosed at the time of publication.
RoboticsBusinessReview.com 12 hours ago Cameras / Imaging / Vision News Technologies IDS Imaging onsemiPerceptron, a startup founded by former Meta scientists, has launched Isaac 0.5, a new model designed to enhance machine interaction in industrial environments. This software enables vision-guided robots to navigate complex settings like warehouses and factory floors, extracting visual intelligence from recorded videos. The significance of Isaac 0.5 lies in its general-purpose design, allowing flexibility in various tasks rather than being limited to repetitive functions. Co-founders Armen Aghajanyan and Akshat Shrivastava emphasize that their model addresses the limitations of existing AI solutions, which often require dedicated resources or are too narrow in scope. Looking ahead, Perceptron aims to revolutionize industrial automation with its innovative approach to visual AI. The model has been trained on a million hours of diverse video data, including ego and UMI video, to enhance its operational capabilities. No further timeline was disclosed at the time of publication.
TechCrunch 12 hours ago AI Robotics Meta perceptron Startups