ThunderSoft Unveils AquaDrive AIOS 3.0 and Two Other Major AI Solutions at ThunderWorld 2026
At the ThunderWorld 2026 technology conference, ThunderSoft unveiled the AquaDrive AIOS 3.0 automotive system and an industrial-grade embodied AI solution, and demonstrated the deployment of the TurboX autonomous intelligent IoT platform in terminals such as AI glasses. AquaDrive AIOS 3.0 has been upgraded around three major dimensions—autonomous generation, autonomous fusion, and autonomous control—making AI the scheduling core of vehicle-wide functions and services. Its robotics business has served more than 100 core customers, with a customer repurchase rate of 60%.
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On October 23, ThunderSoft held the ThunderWorld 2026 Technology Conference and Product Launch, officially unveiling the AquaDrive AIOS 3.0 in-vehicle system and an industrial-grade embodied AI solution, while also showcasing the deployment of the TurboX autonomous intelligent IoT platform in terminals such as AI glasses, comprehensively advancing its strategic upgrade from a traditional operating system to AIOS.
In the in-vehicle field, addressing the industry pain point that most smart cockpit AI today remains limited to voice interaction and complex operations still require manual intervention, the all-new AquaDrive AIOS 3.0 upgrades around three core dimensions: autonomous generation, autonomous fusion, and autonomous control. The company stated that the core breakthrough of the new version is elevating AI from an interaction entry point to the scheduling core of whole-vehicle functions and services.
In the embodied intelligence segment, ThunderSoft believes the industry is moving from technical validation into the stage of large-scale system deployment. The high requirements of industrial scenarios for environmental adaptation, continuous operation, and multi-robot collaboration cannot be solved by large model upgrades alone, so its R&D has not been limited to the single track of humanoid robots.
At present, the company and its subsidiary Xiaowu Intelligence have built a complete product matrix covering autonomous transport robots, forklift robots, embodied composite robots, and humanoid robots. Among them, transport and forklift robots have achieved mass production, composite robots are in the mass production ramp-up stage, and humanoid robots are still in the scenario validation period.
Relying on a unified AIOS underlying architecture, ThunderSoft is building an embodied AI platform integrating cloud, edge, and device, which can achieve unified scheduling, task planning, and continuous learning for robots of different brands and different forms. Official data shows that the robotics business has so far served more than 100 core customers, with a customer repurchase rate of 60%.
On the consumer terminal side, the conference highlighted an AI glasses solution built on the TurboX autonomous intelligent IoT platform. The solution is equipped with the Qualcomm Snapdragon AR1 chip, a 12-megapixel camera, a five-microphone array, and waveguide display technology, with the whole device weighing under 35 grams. Based on the self-developed Veda OS system, the glasses adopt low-power always-sensing technology and can proactively push reminders, translation, navigation, and other services in corresponding scenarios without the user needing to actively wake them each time. For example, in cycling scenarios, they can automatically provide voice navigation and assist in generating cycling vlog content.
To cover more hardware categories, ThunderSoft simultaneously launched the TurboX autonomous intelligent kit, which, through a unified on-device agent runtime environment, adapts to multiple terminals such as smart rings, smart cameras, AI glasses, and smart boxes, while also building in security mechanisms such as permission approval and task verification.
From in-vehicle systems to industrial robots and then to consumer-grade AI glasses, this full-category launch follows the same underlying logic: as large model capabilities gradually become widespread, the core competitiveness of the AI experience will shift to the system's capability scheduling efficiency, task execution reliability, and full-process stability. ThunderSoft is precisely targeting this industry trend to enter the new track of AIOS transformation.
Source: eefocus
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