Gunjo · Business Intelligence for the AI Era
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Nod AI LiDAR: Company Dissolved After Crowdfunding Pseudo-AI Autonomous Driving Sensors

The victims are primarily male engineers and tech enthusiasts aged 25 to 45 with backgrounds in autonomous driving or geek hobbies, as well as developers looking to acquire low-cost LiDAR for robotics or drone modifications. They generally possess strong curiosity about AI hardware but lack a realistic assessment of supply chain and mass production challenges, making them susceptible to marketing jargon like 'AI edge computing' and 'autonomous obstacle avoidance.' Psychological vulnerabilities include excessive optimism regarding technology democratization, over-reliance on crowdfunding platform endorsements, and FOMO (fear of missing out) driven by early-bird discounts.

SCAM

Key Fields

FIELD STAMPS
IndustryConsumer Electronics / Semiconductors
RegionMulti-region(欧美)
ScaleGray Market
ChannelOther
⚠️ This entry compiles scam tactics and public reporting; it is not investment or legal advice. Content is organized from public reporting and third-party complaint platforms; this site does not make any finding of illegality against the parties involved, who may contact us for correction if they object. If you encounter fraud, report it to the police immediately (110 / anti-fraud hotline 96110 in mainland China; local police overseas).

Who Gets Targeted

The victims are primarily male engineers and tech enthusiasts aged 25 to 45 with backgrounds in autonomous driving or geek hobbies, as well as developers looking to acquire low-cost LiDAR for robotics or drone modifications. They generally possess strong curiosity about AI hardware but lack a realistic assessment of supply chain and mass production challenges, making them susceptible to marketing jargon like 'AI edge computing' and 'autonomous obstacle avoidance.' Psychological vulnerabilities include excessive optimism regarding technology democratization, over-reliance on crowdfunding platform endorsements, and FOMO (fear of missing out) driven by early-bird discounts.

骗局怎么运作

  • The project team launched the Nod AI LiDAR on a crowdfunding platform, claiming it was equipped with a self-developed AI chip capable of real-time point cloud semantic segmentation and autonomous-grade obstacle avoidance. The page featured laboratory renders and simulated data, emphasizing a retail price only 1/10th that of major manufacturers, and set a 48-hour early-bird window to create urgency and lock in initial payments.
  • During the campaign, the team continuously posted 'development logs' showcasing alleged factory prototypes, calibration tests, and road test videos. In reality, most videos were indoor turntable scans or replays of public datasets, using editing and low-resolution footage to mask the true level of the algorithms. The team also maintained a technical community, using 'beta access' and 'firmware updates' to sustain hype and encourage users to purchase additional accessories.
  • After the campaign ended, the project entered the 'production phase,' with the team frequently sending delay notices citing reasons such as chip shortages, low packaging yields, and factory shutdowns due to the pandemic. Each delay was accompanied by new 'production progress photos,' which were often low-resolution, lacked specific dates or factory information, and served only to stall for time and exhaust user patience.
  • When some users requested refunds, the project team refused, citing 'crowdfunding terms do not support refunds' and 'funds have already been paid to suppliers,' while steering users toward an 'upgraded pre-sale.' The very few users who received engineering prototypes found that the point cloud density was far lower than advertised, and the so-called AI obstacle avoidance was merely simple ultrasonic fusion logic that could not replicate the demo effects using public datasets.
  • Following a surge in user complaints, the project team announced that the company had entered liquidation due to a broken capital chain. The crowdfunding page stopped updating, and all email and community administrators went silent. When users complained through the crowdfunding platform, the platform provided only limited compensation, citing that 'project failure is a business risk,' leaving the vast majority of backers with total losses.

红旗信号(看到这些快跑)

  • 🚩 The AI capabilities claimed on the crowdfunding page far exceed what is achievable by hardware at that price point, with only renders and simulated data provided, and no independent third-party evaluations.
  • 🚩 The backgrounds of core R&D team members are vague, with no verifiable results of their claimed 'self-developed point cloud algorithms' in public paper or patent databases.
  • 🚩 The project team frequently delayed the project citing 'supply chain force majeure' but never provided verifiable procurement contracts, factory qualifications, or third-party factory audit reports.
  • 🚩 A large number of accounts in the 'beta community' registered around the same time the project launched, and they consistently encouraged users to make additional purchases rather than providing genuine test feedback.
  • 🚩 The project team quickly deleted early negative comments after the campaign ended and prohibited users from discussing refunds, creating an information filter.

真实案例

  • In November 2025, a project called 'Nod AI 360° LiDAR' launched on Kickstarter, with a funding goal of $50,000, eventually raising over $1.2 million. Originally scheduled for delivery in March 2026, it was delayed multiple times, and by September 2026, no finished products had been delivered.
  • A Canadian developer publicly stated that they paid $449 for an early-bird package in December 2025. Upon receiving a prototype in June 2026, they found the effective range was less than 40% of the advertised value, and the 'AI obstacle avoidance' only worked in preset environments, failing in real-world road scenarios.
  • In August 2026, it was revealed that the project company had completed dissolution in Delaware, USA. The registered agent address was a shared office space, and the information of the actual controller could not be traced. Over 800 backers initiated joint complaints on Reddit and crowdfunding comment sections, but as of October 2026, the project team had made no response.
  • In June 2015, the U.S. Federal Trade Commission (FTC) announced a crowdfunding fraud enforcement case: A board game project on Kickstarter set a funding goal of $35,000 and raised over $122,000 from 1,246 backers. After the project was canceled, backers received neither rewards nor refunds. (Source: https://www.ftc.gov/news-events/news/press-releases/2015/06/crowdfunding-project-creator-settles-ftc-charges-deception)
  • In May 2019, the U.S. Federal Trade Commission (FTC) sued a crowdfunding operator: Through the company iBackPack of Texas, they launched four crowdfunding campaigns on Indiegogo for items like smart backpacks, raising over $800,000 from consumers. Despite promising development and delivery, not a single product was delivered, and most funds were misappropriated for personal use. (Source: https://www.ftc.gov/news-events/news/press-releases/2019/05/ftc-charges-operator-crowdfunding-scheme)

Official Stance

  • In September 2026, the U.S. Federal Trade Commission (FTC) issued a risk advisory for crowdfunding hardware projects, specifically noting that AI sensor projects like LiDAR are at high risk for false advertising and delivery failure.
  • In August 2026, Kickstarter updated its policy on failed crowdfunding project deliveries, placing hardware projects that remain without substantial progress for more than twice the original delivery date on a priority watch list.
  • In October 2026, the Canadian Anti-Fraud Centre (CAFC) issued a notice warning consumers to be vigilant about crowdfunding hardware claiming 'AI autonomous obstacle avoidance,' emphasizing that such projects lack mandatory industry testing standards.

How to Protect Yourself

  • ✅ Before supporting any hardware crowdfunding project, require the project team to provide product test reports from independent third-party institutions or reviews from well-known tech media, rather than relying solely on the project page's marketing.
  • ✅ Verify the public technical background of team members, including papers, patents, or past hardware delivery records, and avoid making decisions based solely on vague descriptions like 'former employee of a major tech firm.'
  • ✅ Prioritize platforms that offer refunds during a dispute period or use escrow payments. Avoid using direct transfers or cryptocurrency, and keep complete payment receipts and project screenshots.
  • ✅ Maintain high vigilance for projects claiming performance far exceeding market peers at unreasonably low prices. Especially in critical technologies like AI chips and LiDAR, low prices often imply false promises.