Exyn Technologies
Philadelphia-based autonomous aerial robotics company enabling LiDAR-based 3D mapping in GPS-denied underground and industrial environments since 2014.
Exyn Technologies, founded in 2014 as a spin-off of the University of Pennsylvania GRASP Laboratory by Nader Elm and Dr. Vijay Kumar, develops autonomous aerial robot systems for complex, GPS-denied environments. Headquartered at 2118 Washington Avenue, Philadelphia, Pennsylvania, the company's full-stack solution combines the Nexys modular 3D mapping hardware payload with ExynAI autonomy software and ExynView visualization platform. The Nexys system uses SLAM-based LiDAR to capture real-time colorized 3D point clouds in mines, tunnels, construction sites, and oil and gas facilities.
Exyn's ExynAI SDK enables third-party drone and ground robot integrations. The company achieved Level 4 autonomous exploration on a Boston Dynamics Spot robot with Trimble X7 payload. Exyn ranked #177 on the Inc. 5000 in 2022 and went public on NASDAQ under ticker EXYN in 2026.
Its defense subsidiary, Range, delivers mission-ready autonomy for GPS-denied high-consequence environments.
Primary type & automation activities this supplier delivers:
Exyn Nexys
Modular 3D mapping payload and autonomy ecosystem for drones and ground robots operating in GPS-denied environments.
Contact Exyn Technologies
WEBSITE
https://www.exyn.comPHONE
+1 215 999-0200HEADQUARTERS
United States
Company Facts
Founded
2014
Primary Role
Manufacturer
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
-
Funding Total
-
Teledyne FLIR OEM to Enhance U.S. Army's Thermal Imaging Technology for Drones
Teledyne FLIR OEM has partnered with the U.S. Army to advance thermal imaging technology under the DUTCH initiative. This program aims to develop smaller, more affordable uncooled infrared sensors for military applications, enhancing the performance of drones and other autonomous systems. The initiative is significant as it seeks to improve sensor capabilities without increasing size or power requirements, addressing the Army's need for more efficient military equipment. By focusing on size, weight, power, and cost (SWaP-C), the project aims to reduce payload burdens on uncrewed aircraft while extending operational time. Teledyne FLIR OEM plans to leverage its expertise in thermal imaging and system integration to support the Army's modernization efforts. The company is investing in small-pixel thermal sensor designs, which will allow for compact imaging systems that maintain thermal detail. No further timeline was disclosed at the time of publication.
Military
Anthropic Enhances Claude Cowork Memory System for Improved User Experience
Anthropic has announced a significant update to Claude Cowork's memory system, which will enhance user interactions by allowing the AI to retain information across different sessions. This change aims to eliminate the frustration of having to rebrief the AI on previously discussed topics, making it feel like a continuous assistant rather than separate products. The update is particularly important for users who engage in project development and need to transition smoothly from brainstorming to execution. For example, Claude will remember specific details such as headcount and speakers for a conference, streamlining the process of drafting updates or agendas without the need to re-enter information. Moving forward, users can expect Claude to automatically add topics to its memory during conversations, improving the fluidity between chat and Cowork. While sensitive information will not be stored by default, users have the option to include it. No further timeline was disclosed at the time of publication.
AI Apps Anthropic Claude
Guident Emphasizes Human Oversight for Safety in Growing Robotaxi Fleets
Guident Corp. launched its autonomous shuttle service in Boca Raton, Florida, in November 2025, highlighting the importance of human oversight in robotaxi operations. As self-driving vehicle companies like Zoox Inc. begin commercial services, Guident's GuideOn platform aims to enhance safety through AI, remote monitoring, and teleoperation. The company operates six remote monitoring centers and has extended its partnership with Coastal Waste & Recycling, indicating a commitment to expanding its technology in various locations. The significance of Guident's approach lies in its focus on integrating human oversight with autonomous systems, ensuring that safety is prioritized as fleets grow. CEO Harald Braun emphasized that human-in-the-loop architectures do not require constant manual control but rather provide assistance when autonomous systems face challenges. This scalable oversight model allows for effective management of autonomous vehicles while maintaining safety standards in the absence of federal regulations. Looking ahead, Guident's strategy of combining AI-driven monitoring with human intervention could set a precedent for the future of autonomous mobility. As the robotaxi market evolves, the effectiveness of this model will be crucial in addressing safety concerns and enhancing public trust in autonomous technologies. No further timeline was disclosed at the time of publication.
Artificial Intelligence Automotive Autonomous Mobile Robots (AMRs) Mobility / Navigation News Safety & Security
NVIDIA Launches Jetson Orin Nano 2, Enhancing Edge AI for Robotics with Improved Performance
NVIDIA Corp has unveiled the Jetson Orin Nano 2, an entry-level computer designed for edge AI applications. This new system offers doubled inference performance compared to its predecessor while consuming 40% less power in 15-watt mode. With 78 trillion operations per second of AI compute and 8GB of memory, it is tailored for real-time reasoning in smart drones, robots, and vision AI systems. The introduction of the Jetson Orin Nano 2 is significant as it allows developers to leverage advanced AI models that were previously limited to larger systems. According to Deepu Talla, NVIDIA's vice president of robotics and edge AI, the new model brings frontier-level accuracy to entry-level products, enhancing the capabilities of physical AI applications. This development is expected to accelerate the integration of AI into various autonomous devices. Looking ahead, NVIDIA's Jetson Orin Nano 2 is positioned as a key component in the company's comprehensive robotics strategy, which includes simulation and training solutions. The existing software stack is compatible with the new model, enabling developers to utilize large language models and vision language models optimized for edge inference. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Development Tools / SDKs / Libraries Microprocessors / SoC Microprocessors / SoCs News
First-Time Drone Buyers Embrace AI with the Skyrover S1 for Effortless Filming
First-time drone buyers often find the purchasing process overwhelming due to complex terminology and features. To address this, newer drone manufacturers are integrating artificial intelligence to simplify the flying experience. The Skyrover S1, a lightweight camera drone, exemplifies this trend by automating many decisions that typically intimidate beginners. The Skyrover S1 aims to make capturing memories easier for users who prefer not to master intricate flight controls. With features like automatic subject tracking and intelligent framing, the drone allows users to focus on filming rather than managing controls. This approach reflects a growing consumer technology trend where AI reduces technical barriers for newcomers. As the market for beginner drones expands, the Skyrover S1 offers a compelling alternative to established brands like DJI. With a current promotional price of $319, the S1 combines advanced features and AI assistance, appealing to those looking for a user-friendly experience. No further timeline was disclosed at the time of publication.
News
AIST and Forcesteed Robotics Collaborate on Safety of Indoor Delivery Robots with Physical AI
The National Institute of Advanced Industrial Science and Technology (AIST) and Forcesteed Robotics have conducted joint research on the safety of indoor delivery robots equipped with Physical AI, focusing on risk assessment and mitigation strategies. The findings will be presented in a paper titled "Risk Extraction and Mitigation Strategies for Indoor Delivery Robots with Physical AI Using Generative AI" at the Robotics Society of Japan on September 3, 2026. This research is significant as it addresses the increasing reliance on Physical AI in environments where humans and robots coexist, such as restaurants and commercial facilities. The study emphasizes the importance of accurately recognizing surroundings and making timely decisions to ensure safety, particularly in dynamic settings where human movement and object placement are constantly changing. Looking ahead, AIST and Forcesteed Robotics plan to further investigate recovery times during anomalies, human behavior prediction, and the reliability of recognition results based on insights gained from this research. The focus on ensuring the safe operation of robots equipped with Generative AI in real service environments will be a key area of interest in future presentations.
Aetina Enhances Edge AI with Support for NVIDIA Jetson Orin Nano 2 Platform
Aetina Corporation has announced its support for the NVIDIA Jetson Orin Nano 2, enhancing its edge AI capabilities. This new platform allows for higher-performance generative AI and multimodal inference, which are crucial for compact Physical AI systems. The introduction of the Jetson Orin Nano 2 marks a significant advancement in entry-level edge AI robotics computers. It enables developers to create sophisticated applications such as delivery and inspection drones, robots, and vision AI systems that can perceive their environment and respond in real time. Looking ahead, the integration of the Jetson Orin Nano 2 into Aetina's offerings is expected to drive innovation in the edge AI sector. No further timeline was disclosed at the time of publication.
Humanoid Robot Sector Anticipates Breakthrough Similar to ChatGPT
Recent events in China highlighted advancements in the humanoid robot industry, yet significant challenges remain. The robotics sector is on the cusp of a transformative moment, akin to the impact of ChatGPT in AI. Industry leaders are closely monitoring developments to gauge the potential for rapid growth and innovation. The progress observed in China is crucial as it underscores the ongoing efforts to enhance humanoid robotics capabilities. However, the industry still faces hurdles that could impede widespread adoption and integration into various sectors. The need for improved technology and investment remains a priority for stakeholders. Looking ahead, industry experts will be watching for key innovations and breakthroughs that could signal a turning point for humanoid robots. No further timeline was disclosed at the time of publication.
NEC's Corporate Venture Fund Invests in US Robotics Startup Dexmate
NEC Corporation's venture capital fund has made an investment in US-based robotics startup Dexmate, known for its VEGA humanoid robot and integrated physical AI development platform. This investment, facilitated through the NEC Orchestrating Future Fund, aims to explore the deployment of physical AI technologies across various industries. The significance of this investment lies in the growing interest of technology companies in physical AI systems that can interact with real-world environments. Dexmate's approach addresses challenges in deploying physical AI by integrating sensors, control systems, and training data, thereby simplifying the development and operation of AI-powered robots. Looking ahead, NEC plans to leverage Dexmate's technology alongside its own AI capabilities to explore potential applications across multiple sectors. No further timeline was disclosed at the time of publication.
Financials & Investments Humanoids News artificial intelligence dexmate humanoid robotics
Ocado Group Highlights Decision-Making Over Robots in Warehouse Automation
Ocado Group emphasizes that the future of warehouse automation lies in intelligent decision-making rather than merely increasing the number of robots. As 3PLs, retailers, and e-commerce operators face challenges such as tighter service levels and unpredictable demand, the focus is shifting towards orchestrating operations effectively. Autonomous mobile robots (AMRs) have proven their ability to enhance productivity, but the real challenge is coordinating tasks and workflows seamlessly. The Ocado IQ system exemplifies this shift by continuously evaluating operational factors and adjusting workflows in real-time, ensuring that all aspects of warehouse operations work in harmony. This intelligent orchestration allows for a leaner fleet of robots, reducing congestion and improving overall efficiency on the warehouse floor. The integration of manual and automated processes further enhances visibility and coordination across the operation. Looking ahead, the demand for adaptable automation solutions will grow as 3PLs and retailers navigate complex order profiles and service commitments. The ability to configure automation platforms to meet diverse needs without extensive reconfiguration will be crucial. No further timeline was disclosed at the time of publication.
AMR and AGV Automation Systems and Shuttles Jobs and Training Magazine Features Materials Handling Warehousing
