Kevin O'Leary's Crypto Infrastructure Bets Pay Off, Eyes AI with Same Strategy
PorAinvest
miércoles, 20 de agosto de 2025, 5:12 am ET2 min de lectura
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The new machine learning module enables dynamic performance tuning based on rider behavior, vehicle data, and environmental inputs. For track riders, the system analyzes lap-by-lap performance, including cornering speed, braking patterns, and throttle control, to provide actionable, intuitive feedback. Unlike complex track analysis tools built for engineers, Damon I/O translates sophisticated data into a rider-friendly format, highlighting clear performance gains and safety improvements without requiring technical expertise.
"For the first time, track riders will have the sophistication of a race engineering team, distilled into insights they can understand and act on instantly," said Dominique Kwong, CEO of Damon. The system operates on a continuous feedback loop, with every ride generating new data processed both on the motorcycle (edge learning) and in the cloud. This dual approach allows the system's intelligence to evolve in real-time, delivering deeper, personalized insights that enhance performance and safety.
The Hypersport Race (HSR) model is entering its prototype development phase in September 2025. This rider-focused feature also showcases the power of Damon I/O for the broader market. Damon has diversified its business model beyond being solely a motorcycle development company to become a leader in intelligent data solutions for the personal mobility sector. This new machine learning module is a tangible example of the high-margin, data-driven services the Damon I/O platform can provide to other personal mobility OEMs and fleet operators.
"Your motorcycle will now evolve as fast as your skills do, and every ride makes it better," added Kwong. "This is the future we are building: a fusion of high-performance hardware and intelligent software that not only enhances the experience for our own riders but also provides the digital backbone for the entire personal mobility industry."
Damon Inc. is positioned to capture a significant share of the $40B global electric two-wheeler market by 2030 [1]. The company emphasizes accessible mobility solutions while leveraging its proprietary AI-driven safety systems and intelligent energy management technology to deliver superior performance and operational efficiency in the urban and business mobility space.
References:
[1] https://www.prnewswire.com/news-releases/damon-evolves-io-platform-with-advanced-machine-learning-for-adaptive-rider-performance-302532765.html
[2] https://ambcrypto.com/r0ar-announces-node-sale-democratizing-layer-2-infrastructure-while-rewarding-community-participation/
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Kevin O'Leary, investor and "Shark Tank" personality, invested in cryptocurrency infrastructure companies like Circle, Coinbase, and Robinhood. He aims to apply the same "pick-and-shovel" strategy to AI by investing in data centers, real estate, and power contracts. O'Leary disagrees with the late Charlie Munger's views on cryptocurrency, calling it the only thing Munger got wrong.
VANCOUVER, BC, Aug. 19, 2025 — Damon Inc. (OTCID: DMNIF), a designer and developer of electric motorcycles and other personal mobility products, has announced the next phase in the evolution of its Damon I/O platform with the introduction of an advanced machine learning module. This new feature, developed to be the cornerstone of the company's forthcoming Hypersport Race (HSR) model, aims to transform personal mobility through smart, AI-connected experiences.The new machine learning module enables dynamic performance tuning based on rider behavior, vehicle data, and environmental inputs. For track riders, the system analyzes lap-by-lap performance, including cornering speed, braking patterns, and throttle control, to provide actionable, intuitive feedback. Unlike complex track analysis tools built for engineers, Damon I/O translates sophisticated data into a rider-friendly format, highlighting clear performance gains and safety improvements without requiring technical expertise.
"For the first time, track riders will have the sophistication of a race engineering team, distilled into insights they can understand and act on instantly," said Dominique Kwong, CEO of Damon. The system operates on a continuous feedback loop, with every ride generating new data processed both on the motorcycle (edge learning) and in the cloud. This dual approach allows the system's intelligence to evolve in real-time, delivering deeper, personalized insights that enhance performance and safety.
The Hypersport Race (HSR) model is entering its prototype development phase in September 2025. This rider-focused feature also showcases the power of Damon I/O for the broader market. Damon has diversified its business model beyond being solely a motorcycle development company to become a leader in intelligent data solutions for the personal mobility sector. This new machine learning module is a tangible example of the high-margin, data-driven services the Damon I/O platform can provide to other personal mobility OEMs and fleet operators.
"Your motorcycle will now evolve as fast as your skills do, and every ride makes it better," added Kwong. "This is the future we are building: a fusion of high-performance hardware and intelligent software that not only enhances the experience for our own riders but also provides the digital backbone for the entire personal mobility industry."
Damon Inc. is positioned to capture a significant share of the $40B global electric two-wheeler market by 2030 [1]. The company emphasizes accessible mobility solutions while leveraging its proprietary AI-driven safety systems and intelligent energy management technology to deliver superior performance and operational efficiency in the urban and business mobility space.
References:
[1] https://www.prnewswire.com/news-releases/damon-evolves-io-platform-with-advanced-machine-learning-for-adaptive-rider-performance-302532765.html
[2] https://ambcrypto.com/r0ar-announces-node-sale-democratizing-layer-2-infrastructure-while-rewarding-community-participation/

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