Screenless Innovations Revolutionize Wearable Health Technology

Kinisis Ventures said screen-less wearable technology is gaining momentum as companies in the sector attract large funding rounds. The firm highlighted market developments as its portfolio company EQQU prepares for product launch.

Rising Trends In Wearable Health Platforms

Recent milestone funding rounds underscore the health technology market’s rapid expansion. For instance, WHOOP secured $575 million at a valuation of $10.1 billion, backed by influential entities including Abbott and Mayo Clinic. Similarly, Oura is positioning itself for an IPO after completing a funding round that valued it at nearly $11 billion.

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Subscription-Based Health Insights

Wearable device companies are shifting toward subscription-based platforms that combine hardware with ongoing data services. This model allows users to access continuous health insights rather than standalone device functionality. Screen-less designs are becoming more common as companies focus on simplicity and continuous monitoring. Product development is moving toward less intrusive formats.

Targeting Premium Consumers

EQQU is developing screenless smart bracelets aimed at premium users seeking health tracking combined with design-focused products. The devices integrate sensor technology with jewellery-style form factors. Initial testing included more than 1,000 fit trials, with a reported 90% design approval rate. Sensor performance is being benchmarked against clinical-grade measurement tools.

Strategic Patents And Market Entry

The company is preparing a patent application for its adjustable bracelet design ahead of market entry. A soft launch of the first product is expected in the coming months. Development has taken place during a closed testing phase focused on product refinement. Market entry will depend on final validation and positioning.

Market Context

Kinisis Ventures said developments in the sector reflect convergence between consumer technology and health monitoring. Growth in funding and product development indicates increasing competition in wearable health devices.

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Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

by THEFUTURE.TEAM

October 13, 2026

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

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According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.

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