Database

Startups

Main Industry
Artificial Intelligence (AI)
Main Product/Service
SVG (Silicon Verdict Gate) Silicon Intellectual Property Licensing
(The content above was translated by AI.)
Founded Year
2018
Unified Business No.
42917004
Status
Active
Number of Employees
2
Total Paid-in Capital
0 (NT$)
Location of Company
Taiwan , Tainan City
Information such as company name, company status, responsible person, year of establishment, paid-in capital, and registered address is sourced from the Commercial and Industrial Registration Office of the Ministry of Economic Affairs; listing status includes emerging stock, M&A, and IPO; overseas development is provided by the startup itself. Notice: This data is compiled from public sources for reference only. We have no direct affiliation with the company and are not their contact person.
About the Company
WesmartAI Co., Ltd. is a deep-tech startup focusing on the underlying security architecture of physical AI, aiming to bridge the "safety gap" in the integration of AI into industrial control and automotive applications. Its core product, the "SVG Silicon Verdict Gate," is the world's first hardware-isolated silicon intellectual property (IP). Featuring an ultra-low latency of 19.04 microseconds, it can instantly intercept AI hallucinations and out-of-control behaviors at the hardware level, forcing outputs to comply with the ISO 26262 functional safety standard. We adopt a pure IP licensing model, targeting original edge AI chip manufacturers. Currently, we have obtained foundational invention patents in Taiwan and are expanding our footprint in Europe and the US, striving to become the compliance benchmark and underlying infrastructure for the safe implementation of physical AI.
(The content above was translated by AI.)



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Application Areas
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3. Intelligent Chips: Utilizing an edge parallel processing architecture to embed specific algorithms into hardware design, creating Application-Specific Integrated Circuits (ASICs). Unlike general-purpose high-performance computing chip architectures, this provides dedicated computing chips with higher speeds and optimized CPI (Cycles Per Instruction).
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(The content above was translated by AI.)
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