Author: Gavin

  • INNODIGYM OMNI X1 Review

    INNODIGYM OMNI X1 Review

    On June 23, a smart fitness device called the OMNI X1 hit Kickstarter. Twelve hours later, it had raised $1.4 million. Five hundred sixty-one backers had already locked in their pledges, and several high-tier bundles sold out completely.

    That velocity is impressive even by Kickstarter hardware standards. What makes it wilder is that this machine comes from a Xiamen-based company called Renhe Sports, which had already turned heads at domestic trade shows and Germany’s FIBO fitness expo.

    So here is the real question: why are Western users throwing money at a Chinese home gym device?

    INNODIGYM OMNI X1 smart home gym unfolded and folded storage comparison
    INNODIGYM OMNI X1 folds to just 14.5cm for compact storage

    The Core Pitch: Squeezing a Commercial Gym into 1.1 Square Meters

    The OMNI X1’s underlying logic is refreshingly direct—replace traditional iron weight stacks with servo motors, then deliver a commercial-grade strength training experience inside an ordinary living room.

    Home fitness equipment has always faced a brutal trade-off. Treadmills and benches eat floor space. Resistance bands and cheap weight systems feel nothing like real gym equipment. Commercial cable machines feel amazing, but they will not fit in your apartment.

    The OMNI X1 sidesteps this dilemma with dual servo motors that output up to 120kg of digital resistance per side, adjustable in 0.5kg increments. The resistance curve closely mimics the feel of barbells and cable machines. In plain terms, it tries to give you a gym-quality strength workout on your living room floor.

    Moreover, the footprint matters. The unit occupies just 1.1 square meters, and when folded it shrinks to 14.5 centimeters thick. For urban apartments in Europe and North America where every square foot costs money, that compact profile is not a nice-to-have—it is essential.

    AI Is Not a Gimmick Here, It Is a Barrier Killer

    The hardware runs on a 360-degree multi-pulley system that supports squats, deadlifts, flyes, rows, and full-body movements. Yet the real differentiator from traditional strength gear is the AI layer.

    INNODIGYM OMNI X1 complete accessory bundle with pull-up bar and bench
    OMNI X1 accessory bundle includes pull-up bar and training bench

    The standout feature is an AI-assisted pull-up system powered by LiDAR. It tracks your joint angles in real time and automatically provides assistance when you hit muscle failure. The practical value is simple: it dramatically lowers the entry barrier for upper-body training, letting beginners perform pull-ups that would otherwise take months to build up to.

    On top of that, the machine packs a full smart safety system and iterative AI training software. It corrects your form, logs your workout data, and pushes customized training programs. These features serve both hardcore lifters and absolute beginners—essentially, it tries to please the gym veteran and the three-day-old gym member at the same time.

    Why Now? The Post-Pandemic Home Fitness Wave Is Still Rolling

    The OMNI X1’s success is not an isolated case. The home fitness hardware sector has been heating up for years, driven by three structural forces.

    First, time economics. Gym memberships in Europe and North America are expensive, and the commute adds another thirty minutes each way. Many users would rather train at home than burn time on the road.

    Second, space constraints. Urban housing is compact, and traditional home equipment is either too bulky, too ugly, or too limited in function. The OMNI X1 combines commercial-grade feel, small-footprint storage, and AI assistance in one package. It lands squarely on the pain point.

    Third, the intelligence trend. Fitness consumers increasingly want more than “lift and count.” They want data, feedback, and personalization. AI and digital resistance technology deliver exactly that incremental value.

    Product Tiers and Pricing Strategy

    The OMNI X1 comes in two base configurations: a Basic screenless version and a Pro flagship with a high-definition display. You can also add a training bench and pull-up bar to build a complete home gym setup. This tiered approach is smart—use the basic model to lower the entry barrier, then drive average order value with premium bundles.

    However, explosive crowdfunding numbers are only the opening act. Mass production, servo motor supply chain stability, overseas logistics costs, and after-sales infrastructure remain open questions. The gap between 561 Kickstarter backers and becoming a staple in Western home gyms is still massive.

    Conclusion: A New Template for Chinese Fitness Hardware Going Global

    The OMNI X1’s success boils down to a simple formula: identify a sharp pain point, build genuine technical differentiation, then validate demand through crowdfunding. It proves that Chinese fitness hardware has real demand in overseas markets, and it proves that the “digital resistance plus AI assistance” technical path has commercial legs.

    But crowdfunding hype is merely step one. Moving from 561 backers to a genuine household name in home fitness requires crossing three major hurdles: product reputation, brand recognition, and distribution channels.

    Either way, this is a space worth watching. Because any Chinese fitness device that convinces Western users to hand over $1.4 million in half a day is already saying something important.


    This review is based on publicly available product information and Kickstarter campaign data. Actual user experience may vary. AICrunchX will continue tracking developments in the AI fitness hardware space.

  • Mercedes-Benz China Undergoes Second Round of Layoffs

    Mercedes-Benz China Undergoes Second Round of Layoffs

    According to reports, Mercedes-Benz China is implementing a new round of structural layoffs, aiming to reduce the number of employees at Beijing Mercedes-Benz Sales and Service Co., Ltd. from approximately 900 to less than 600. This is the second large-scale personnel reduction by Mercedes-Benz China in less than a year and a half, following the first round of layoffs in February last year.

    Mercedes-Benz
    Mercedes-Benz

    Multiple sources familiar with the matter have revealed that this round of adjustments is not limited to the sales and service company. Since 2025, personnel adjustments within Mercedes-Benz’s China system have been occurring across various departments, including automotive finance, sales, IT, and R&D and manufacturing. These adjustments are distributed across different business entities and employment relationships, and the compensation standards are not uniform. The R&D system is one of the key departments targeted for staff reduction. Public information shows that Mercedes-Benz’s R&D centers in China are mainly located in Beijing and Shanghai, with approximately 2,000 R&D personnel covering multiple areas such as local model development, intelligent technology, electrification, software, and in-vehicle systems.

    However, this round of layoffs failed to stem the company’s continued decline, forcing it to initiate two more rounds of layoffs this year: one currently underway with a 10% reduction, and the other to begin at the end of the year. The goal is to reduce the number of employees at Mercedes-Benz Sales Company from over 900 to just over 600 after these two rounds.

    Besides layoffs, Mercedes-Benz China is also experiencing a deep organizational upheaval. On May 25th, the head of Mercedes-Benz Sales Company’s North China region resigned after a company-wide meeting, and the following day, a company-wide email announced that he would no longer serve as the general manager of the North China region.

    It is understood that Mercedes-Benz’s R&D system is expected to lay off 10% of its staff this year. This figure has not yet been officially confirmed by Mercedes-Benz China.

    Two months ago, the vice president in charge of after-sales service also suddenly resigned. Even earlier, Duan Jianjun, Mercedes-Benz China’s first Chinese CEO, resigned in March of this year, and was succeeded by Li Desi, the executive vice president of sales. Within just a few months, there has been a flurry of changes in the core management team, from CEO to regional heads to vice presidents.

  • Two Chief Scientists Have Departed Spirit AI in Six Months

    Two Chief Scientists Have Departed Spirit AI in Six Months

    spirit ai robotics
    spirit ai robotics

    Spirit AI’s current Chief Scientist, responsible for the Embodied Intelligence Model, is reportedly leaving the company. Just six months ago, another Chief Scientist, Jie Junyuan, also known as the Chief Scientist, resigned. This means Spirit AI has lost two Chief Scientists within a short period.

    Following Jie Junyuan’s departure, Spirit AI recruited a VP from Huawei as Chief Scientist. This VP, who had only been with the leading company for a little over six months, left due to disagreements over technical direction and internal management practices.

    Spirit AI’s valuation has reached tens of billions of dollars, and it has raised billions of dollars in funding rounds. However, its approach to talent management is controversial within the tech community. Not only is there high turnover in the technical team, but even HR personnel change frequently, with both recruiters and hires changing rapidly.

    Spirit AI is known in the industry for its strict probationary period policy. When recruiting algorithm model engineers, a certain percentage of them are dismissed when it comes time to become permanent employees. This is extremely unfriendly to engineers, who have turned down other job offers to join the company. If they’re held up during their probationary period and not offered permanent positions, the losses are significant. This leading company’s approach clearly shifts the burden of trial-and-error costs onto employees while minimizing its own. This leads to disguised employee dismissal and probationary period freezes.

    In the AI ​​era, talent is the most crucial factor for success. Building a capable and cohesive technical team is a key advantage in the fiercely competitive environment.

    Therefore, startups, while busy showcasing “globally leading” demos and fundraising scale, should also consider their talent strategies: how to effectively recruit top talent and how to ensure their employees are happy and satisfied with their work. These are crucial factors in determining the outcome of future intense competition.

  • SenseAuto to Lay Off 50% of Staff

    SenseAuto to Lay Off 50% of Staff

    Sources familiar with the matter revealed that SenseAuto expects to lay off more than 200 employees, bringing the company’s total workforce to over 400. The layoffs will affect departments including algorithm engineering and software.

    SENSEAUTO
    SENSEAUTO

    This restructuring by SenseTime’s SenseAuto division is a microcosm of the increasingly competitive landscape of intelligent driving. Following the layoffs, the workload for remaining employees will increase significantly, posing a considerable challenge to ensuring mass production and delivery of projects to automotive clients.

    Over the past two to three years, SenseTime’s SenseAuto has aligned its intelligent driving solutions and technologies with industry changes.

    In terms of solutions, SenseTime SenseAuto has launched three solutions: AD Pro, based on the Horizon J6E with 80T computing power; AD Max, based on the Horizon J6M with 128T computing power; and AD Ultra, based on Orin/Thor with 200T+ computing power. These three solutions represent the most mainstream demands from automotive companies over the past two years and represent the largest volume of demand in the industry.

    Technically, SenseTime’s SenseAuto platform released a world model back in November 2024, placing it among the earlier companies in the intelligent driving industry to release cutting-edge technology.

    Whether in terms of intelligent driving solutions or technology, SenseTime’s SenseAuto demonstrates strong foresight and strategic planning. However, compared to leading companies, it has secured relatively few targeted projects, the reasons for which are complex.

    It is understood that SenseTime’s SenseAuto is in talks with Dongfeng Motor for strategic investment, which presents a good opportunity for the company. Strategic investment from automakers not only means money but also targeted projects and deep collaboration.

    Informed sources revealed that this investment may be cancelled or significantly reduced.

    However, at a crucial juncture in the 2025 intelligent driving competition, SenseTime’s SenseAuto Chairman Wang Xiaogang co-founded Daxiao Robotics with Academician Tao Dacheng of the Australian Academy of Science in the second half of 2025.

    Both highly competitive sectors require core operators to go all in. For Wang Xiaogang, as the core operator, managing both the highly competitive intelligent driving sector and embodied robotics effectively is a significant challenge.