US arm of Taiwan's Weintek Labs (est. 1996); supplies CODESYS-enabled IIoT HMI panels and remote I/O to North American industrial automation customers.
Weintek USA, Inc. is the North American subsidiary of Weintek Labs, Inc., a global HMI manufacturer founded in 1996 in Taiwan (New Taipei City). Weintek Labs established its US operations in 2016, headquartered at 6219 NE 181st St, Suite 120, Kenmore, Washington 98028. The US entity serves manufacturers, OEMs, and system integrators across North America with graphic operator interfaces (HMIs), remote I/O systems, and IIoT connectivity solutions.
Weintek's core product line is the cMT X Series — a family of CODESYS-enabled, IIoT-capable human-machine interface panels available in screen sizes from 4.3 to 21.5 inches, with variants supporting high resolution (H), wide temperature (T), projected capacitive touch (P), and built-in RFID reading (R). The cMT X Series is subdivided into Standard (cMT2 prefix) and Advanced (cMT3 prefix) tiers. Complementing the HMIs is the iR Series of remote I/O modules, which support digital and analog I/O, temperature control, and motion control functions. Weintek USA also offers the cMT-FHDX Faceless HMI, web panel products for displaying third-party PLC/SCADA web servers without programming, and the cMT G Series IIoT Gateways. The EasyBuilder Pro software platform is used for HMI screen design and PLC connectivity, supporting over 400 communication drivers including Allen-Bradley, Siemens, Schneider Electric, Automation Direct, and IDEC. The Weincloud service provides cloud-based remote monitoring and data visualization. The company holds ISO 9001 quality management certification.
Notable customers include Panasonic and FANUC. Weintek USA can be contacted at [email protected] or 1-425-488-1100.
Primary type & automation activities this supplier delivers:
CODESYS-enabled IIoT HMI panels in 4.3–21.5" screen sizes with dual Ethernet, RFID, and 400+ PLC communication drivers.
Modular remote I/O system with digital, analog, temperature, and motion control modules for distributed industrial automation.
Contact Weintek USA, Inc.
WEBSITE
https://www.weintekusa.com/PHONE
+1 425 488 1100HEADQUARTERS
United States
Company Facts
Founded
2016
Primary Role
Manufacturer
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
Subsidiary / Acquired
Funding Total
-
Certifications & Memberships
A former intern from ByteDance has successfully raised $30 million for a new AI startup based in China. This funding aims to advance the development of world models, which are AI systems designed to simulate real-world physics. These models have significant applications in fields such as robotics and interactive video. The importance of this funding lies in the potential of world models to enhance various technological applications. By simulating real-world physics, these AI systems can improve the efficiency and effectiveness of robotics, making them more capable in complex environments. This development is crucial as industries increasingly rely on AI to innovate and streamline operations. Looking ahead, the focus will be on how this startup utilizes the $30 million funding to develop its world models and the impact these advancements will have on robotics and interactive video applications. No further timeline was disclosed at the time of publication.
China–TECHinAsia 3hs ago Artificial Intelligence Investments News Startups ByteDance ChinaTen papers made the IROS 2026 Best Paper and Best Student Paper shortlist, four from South Korea. What each one does and what it means for industry.
ByKelly Stone Oct 07, 2026SafeWorld has officially launched after securing $12.2 million in seed funding, co-led by Shine Capital and a16z Speedrun. The Palo Alto-based startup aims to create simulation software that tests the safety of autonomous robots prior to their deployment in real-world environments. This platform allows companies to simulate various safety scenarios based on past incidents and robot logs, enabling extensive testing without the need for physical environments. The significance of SafeWorld's technology lies in its ability to address the challenges of traditional safety testing, which can be costly and time-consuming as robots become more autonomous. By utilizing simulation, companies can evaluate how robots respond to unexpected situations and human interactions, thus ensuring safety throughout the deployment process rather than relying on one-time certifications. Early pilots are already underway with major automotive manufacturers and warehouse-automation firms. Looking ahead, SafeWorld's platform is poised to transform safety testing in industrial and commercial settings where robots operate near humans. The startup's innovative approach could lead to more effective safety measures, reducing reliance on physical barriers and enhancing collaboration between robots and workers. No further timeline was disclosed at the time of publication.
AIInsider 6hs ago AI Funding & Investment AI Safety Physical AI Startups AI Carnegie Mellon UniversityMecka AI, a startup focused on collecting and analyzing human motion data for training humanoid and other robots, has successfully raised $60 million in a Series B funding round led by Sequoia. Notable participants in this funding include Nvidia and Microsoft's venture fund M12, among others. This funding is significant as it positions Mecka AI to replicate the success of data-labeling companies like Scale AI and Mercor, which have been instrumental in training large language models (LLMs). With a valuation of $500 million, Mecka AI aims to enhance robotics by paying individuals to perform everyday tasks while wearing body sensors and using smartphones to capture motion data. Looking ahead, the robotics sector is witnessing a surge in startups focused on real-world data collection for robot training, with competitors like XDOF also seeking funding. The expansion of human-data platforms into robotics, as seen with Scale AI and Micro1, indicates a growing trend that could reshape how robots learn and interact with their environments. No further timeline was disclosed at the time of publication.
TechCrunch 6hs ago TC VentureMecka has successfully raised $60 million in a Series B funding round led by Sequoia Capital, with participation from Nvidia, Microsoft’s M12, Qualcomm Ventures, and Samsung. This funding, announced on October 7, aims to bolster Mecka's efforts in gathering human demonstrations for training robot models. The company specializes in developing capture hardware and converting recordings into structured motion and 3D data, while also offering services in robot integration and ongoing operations. The significance of this funding lies in Mecka's impressive growth trajectory, having achieved a revenue run rate exceeding $100 million in June, with projections reaching $300 million by the end of the year. However, it's important to note that these figures are company-reported and do not necessarily reflect actual revenue earned. The announcement also highlights Mecka's involvement in the EgoVerse consortium, which focuses on enhancing robot learning through human demonstrations, underscoring the potential for improved robot performance through effective data utilization. Looking ahead, the key consideration for humanoid developers is the effectiveness of transforming human recordings into reliable robotic behavior. Mecka's funding not only supports its commercial approach to this challenge but also positions it alongside competitors like Figure, which is exploring similar avenues through its Index platform. No further timeline was disclosed at the time of publication.
HumanoidsDaily 12hs ago US MeckaMecka AI has successfully raised $60 million in Series B funding, primarily led by Sequoia Capital, with additional support from Nvidia, Microsoft's M12, and Qualcomm. This funding will be utilized to enhance technology that enables robots to better understand and interact with the physical world. The significance of this funding lies in addressing the substantial data challenges within the robotics sector. CEO and cofounder Josh Gao emphasized the importance of capturing various physical interactions, including force and pressure, to advance robotics capabilities. The investment will also focus on scaling physical AI through improvements in sensors, infrastructure, and real-world data collection. Looking ahead, the robotics industry will need to monitor how Mecka AI utilizes this funding to innovate and expand its technology. No further timeline was disclosed at the time of publication.
BloombergTechnology 12hs agoThe Joint Interagency Task Force-South (JIATF-401) is broadening its approach to counter unmanned aerial systems (UAS) by integrating directed energy and artificial intelligence technologies. This shift reflects the Pentagon's recognition that there is no one-size-fits-all solution to the growing drone threat. The expansion of counter-UAS capabilities is significant as it allows for a more versatile defense strategy against various drone threats. By employing a mix of advanced technologies, JIATF-401 aims to enhance operational effectiveness and adaptability in the face of evolving challenges in aerial warfare. Looking ahead, stakeholders in defense and technology sectors should monitor JIATF-401's developments closely. The task force's ongoing efforts to innovate and implement diverse counter-UAS strategies could influence future military engagements and defense procurement decisions. No further timeline was disclosed at the time of publication.
BreakingDefense 12hs ago Pentagon artificial intelligence AI CACI Counter UAS cUAS CUAS DronesSkild AI, following its recent valuation of $14 billion, is shifting its focus from being solely an AI brain to broader applications. This transition reflects the company's ambition to leverage its technology in various sectors beyond traditional AI roles. The move is significant as it highlights the growing trend of AI companies seeking to diversify their offerings and integrate into more tangible products and services. This development is crucial as it indicates a maturation in the AI industry, where companies like Skild AI are recognizing the need to create practical applications for their technologies. By moving beyond just AI brain functionalities, Skild AI aims to address market demands for more integrated and user-friendly solutions. This shift could potentially lead to innovative products that enhance human-robot interactions and improve operational efficiencies across industries. Looking ahead, it will be important to monitor how Skild AI implements this strategy and what new products or services emerge from this transition. The company's ability to successfully navigate this shift could set a precedent for other AI firms considering similar expansions. No further timeline was disclosed at the time of publication.
leaderobot.com 12hs ago Robotics Automation AIThe Pentagon is set to increase the complexity of the Falcon Peak exercise by simulating urban warfare scenarios. This follows previous tests of counter-unmanned aerial systems (cUAS) technology in desert conditions, where the focus was on performance against heat and sand. This development is significant as it reflects the military's recognition of the evolving challenges posed by drone technology in urban environments. By adapting the exercise to a city setting, the Pentagon aims to better prepare its forces for real-world applications of cUAS technology in complex operational theaters. Looking ahead, observers should monitor how the integration of urban scenarios will influence the effectiveness of cUAS systems. No further timeline was disclosed at the time of publication.
BreakingDefense 12hs ago Land Warfare Pentagon Army AUSA 2026 Drones Falcon PeakDEEP Robotics has conducted a field test of its humanoid robots, designed as new traffic guides, on public roads in the Xihu District of Hangzhou, China. The test, which took place on October 7, 2026, showcased the robots' autonomous navigation and dynamic obstacle avoidance capabilities in complex environments with varying weather and pedestrian traffic. This initiative is significant as it demonstrates the potential for humanoid robots to assist in traffic management and monitoring, thereby alleviating the workload of traffic police and on-site staff. The robots not only navigate slippery surfaces but also enforce traffic rules by issuing warnings through voice and gestures when detecting violations, promoting safe driving and adherence to regulations. Looking ahead, the versatility of DEEP Robotics' humanoid robots, which can engage in natural communication with pedestrians while providing traffic guidance and city information, suggests a promising future for their role in urban environments. No further timeline was disclosed at the time of publication.
RobotStart.info 12hs agoGeneral Dynamics has engaged Primordial Labs to create Anura AI, an advanced voice-activated assistant designed for combat vehicle crews. This AI system is specifically trained to interpret soldiers' voice commands and execute designated actions, enhancing operational efficiency without involving lethal functions. The development of Anura AI is significant as it represents a step towards integrating advanced artificial intelligence into military operations. By streamlining communication and task execution for soldiers, this technology aims to improve situational awareness and decision-making in combat scenarios. Looking ahead, the focus will be on the implementation and testing phases of Anura AI within military environments. No further timeline was disclosed at the time of publication.
BreakingDefense 12hs ago Land Warfare Networks & Digital Warfare AI & Autonomy armored vehicles Army artificial intelligence AIFive vendor archetypes, MIR’s composite top ten, eight company profiles and six field deployments — every firm linked to the RobotToday supplier directory.
ByThomas Siew Sep 06, 2026Linkage, tendon, direct drive or hybrid — and why hardware is converging while the DL1–DL5 manipulation scale decides who wins. Part 2 of 3.
ByThomas Siew Sep 04, 2026MIR Databank puts China dexterous hand shipments above 30,000 units in 2026, yet only 3.5% of 2025 demand came from factory production. Part 1 of 3.
ByThomas Siew Sep 04, 202647 WRC 2026 exhibitors supply robot software, compute or interaction — but only 19 call themselves software companies. Five open artefacts, licence-checked.
ByThomas Siew Aug 31, 2026Eighty-plus chapters, 2,300 pages, nobody reads it cover to cover. It ranks for one reason: when a fault crosses domains, this is the reference of record.
ByRSF Research Jul 31, 2026At WAIC 2026, AI-native platforms quietly replaced interpreter hardware — what invisible AI infrastructure means for robotics and embodied AI.
ByThomas Siew Jul 21, 2026A comprehensive industry analysis of Physical AI — covering Embodied AI, Field AI, Factory AI, VLM, World Model, VLA, and the VLA vs WAM architecture debate. Includes 20+ companies, 28 references, and the RobotToday Physical AI Landscape diagram. July 2026.
ByLeona Tang Jul 10, 2026From rotary joints hitting 530 N·m+ to linear joints with planetary roller screws, integrated actuators are replacing the three-part drivetrain. Full supplier map: Tihu, PhyArc, RobStride, Schaeffler, maxon — and China's path from 1,000-RMB modules to global standard-setter.
BySimon Dicky May 25, 2026Construction musculoskeletal injuries cost US employers over $2 billion annually. Exoskeletons are moving from pilots to standard practice. Ottobock, German Bionic, Hyundai, and Innophys launched major products in 2024–2025. Korea and Japan lead adoption. AI is turning passive suits into connected safety platforms.
BySimon Dicky May 04, 2026