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Ultrahuman Unveils Ring Pro As Smart Ring Competition Intensifies In The U.S.

Ultrahuman, the Bengaluru-based leader in wearable technology, has unveiled its third-generation smart ring, the Ring Pro, marking a significant step in the company’s efforts to reestablish its U.S. presence. With an extended battery life of up to 15 days and a completely redesigned form factor, the Ring Pro arrives as a strategic response following last year’s patent dispute with rival Oura.

New Design And Extended Battery Life

Ring Pro introduces a redesigned form factor alongside a dual-core processor and upgraded heart-rate sensing architecture aimed at improving data accuracy. The device is slightly heavier than its predecessor but offers enhanced on-device computing and the ability to store up to 250 days of health data. Priced at $479, the ring delivers up to 15 days of battery life, a notable increase compared to the four to six days offered by the Ring Air.

Overcoming Regulatory And Patent Hurdles

Ultrahuman’s U.S. operations faced disruption in October 2025 after the U.S. International Trade Commission ruled in favor of Oura in a patent dispute, restricting imports of new inventory. Existing stock remained available, but the decision pushed the company to redesign the product and reassess its U.S. strategy. The market remains critical for Ultrahuman, with American users accounting for roughly 45% of its 700,000 daily active users.

Introducing Jade: Real-Time Biointelligence

Alongside Ring Pro, Ultrahuman launched Jade, a real-time biointelligence system designed to provide actionable health insights instead of retrospective data summaries. According to co-founder and CEO Mohit Kumar, the system focuses on continuous analysis and real-time recommendations. Jade is available across the company’s ecosystem, including older ring models, reinforcing Ultrahuman’s AI-driven approach to wearable health monitoring.

Robust Financials And Expanding Market Influence

Despite legal and operational challenges, Ultrahuman continues to show strong financial performance. The company reports an annualized revenue run rate of approximately $150 million and operating revenue of $64 million for the fiscal year ending March 2025. Subscription services and additional offerings, including coaching programs and continuous glucose monitoring, continue to diversify revenue streams and support profitability.

Expanding Production And Global Reach

Ultrahuman is expanding production capacity as demand grows across international markets, including the UK, Canada, Australia, and India. Industry analysts note that the future of smart rings will depend on sensor precision, AI integration, and ecosystem connectivity — areas where Ultrahuman is actively investing.

With the launch of Ring Pro and the introduction of Jade, the company is aiming to strengthen its position in the fast-growing wearable technology sector while rebuilding momentum in key global markets.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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