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University of Florida looks at how coaches use data to help players

Dave Schlenker  |  University of Florida See the moment courtside in the Alamodome that Florida basketball won the national title The Gators defeated Houston 65-63 Monday night at the Alamodome in San Antonio to win the program’s third national championship. Two University of Florida engineering graduate students presented research at a conference in Japan on […]

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  • Two University of Florida engineering graduate students presented research at a conference in Japan on how coaches use data to improve athletic performance.
  • The students’ research focused on how coaches in collegiate athletics utilize data from wearable sensors and other technology.
  • The research found that coaches use data to make decisions about training, strategy, and injury prevention.

Shortly after the confetti settled over the University of Florida’s basketball championship in April, two graduate students studying artificial intelligence traveled to Japan to discuss how coaches are using data and technology to maximize player performance and safety. 

Accomplished athletes themselves, UF engineering students Mollie Brewer and Kevin Childs are co-primary investigators on a paper exploring how coaches analyze data — often from wearable sensors — to shape training and strategy and, ultimately, win more games.

If a player comes off an intense workout, for example, coaches can look at the data and determine if that player needs rest before the next game. This means successful coaches — like those coaching the championship basketball team — are adding “data analyst” to their roles. 

Brewer and Childs’ paper was selected for presentation at the renowned Association for Computing Machinery CHI conference in Yokohama, Japan, which ran April 26 to May 2. It was a big deal, not just because UF students are getting an international spotlight on their AI in athletics research but also because the pair’s very first research paper was chosen for a highly competitive world conference.

“This is a look into how coaches use technology within collegiate athletics,” Childs said. “We have a lot of studies talking to recreational athletes. We have some studies within the human computer-interaction area looking at professional sports. But we don’t really have an understanding of how technology is used in systems like collegiate athletics.”

Brewer added: “And we’re not going to lie, bringing it to a conference on the back of a national championship is even more exciting.” Brewer and Childs are Ph.D. engineering students and key players in the $2.5 million UF & Sport Collaborative initiative that, among other things, explores how AI data can maximize athletic performance and reduce injuries.

Known as the AI-Powered Athletics project, this partnership between the Herbert Wertheim College of Engineering and the University Athletic Association (UAA) delves deep into wearables such as fitness trackers and other sensors attached to athletes to provide information for AI databases.  

“This paper was on the coach’s perspective of what types of technology and data are being used in collegiate athletics,” Brewer said. “We’re presenting how the landscape of data flows in this environment and also finding the opportunities to improve technology and data usage among these top-level coaches.”

The researchers worked with five teams and 17 coaches. For privacy, they were not able to reveal what teams participated. 

But a March article on floridagators.com reported UF’s basketball team utilizes data for decisions on the court and in training. Heading into the SEC Tournament in March, for example, coaches used the data to increase intensity at practices to ensure optimum stamina if the team had to play three games in three days (which it did). 

As data analysts, coaches are figuring out what the numbers mean for individual athletes, particularly the relationship between intensity and injury.“They’re intaking data from dozens of sources and processing this to figure out the optimal training plan,” Childs said. “For example, there are GPS IMUs — inertial measurement units — being worn by a lot of student athletes. They are little vests with sensors between the shoulder blades. It captures all their position data, how fast they jump, how fast they’re moving.” 

Another conclusion: Coaching is not a one-person job in collegiate athletics. 

“There’s an entire interdisciplinary team, and that information is shared among everybody to make decisions, and sometimes the same technology output is used by different roles,” Brewer said. “A dietician may use it one way. An athletic trainer may use the output for return to play, but they’re all communicating together.”

Brewer is a cyclist, and Childs was a competitive swimmer. They know the ins and outs of competition and results. This research sharpens the competitive edge, that “last-second buzzer beater — anything you can do to get that extra 1%,” Childs said.“We are so proud of Mollie and Kevin’s innovative thinking and hard work,” said Kristy Boyer, a professor in UF’s Department of Computer & Information Science and Engineering, and one of collaborators on the paper. “This project exemplifies what can happen when university faculty and innovators within the athletic association come together with a common goal.”  In addition to Brewer, Childs and Boyer, the paper’s other collaborators include Kevin Butler from the Department of Computer & Information Science and Engineering, Garrett F. Beatty from UF’s College of Health and Human Performance, Spencer Thomas from the UAA, and Jennifer Nichols, Daniel Ferris and Celeste Wilkins from UF’s J. Crayton Pruitt Family Department of Biomedical Engineering.

As for exploring Japan?

“The experience was amazing,” Childs said. “Some of the highlights were traveling to random spots on a map with Mollie and trying out different food. Conveyor-belt sushi offered a fun game of guessing what variety of seafood was on the plate, and I think I satisfied my yearly quota of ramen consumption.”“We loved connecting with new faces at CHI and getting inspired by the exciting research on the horizon,” Brewer added. “After our presentation, we ran out to join our new friends for a jog around the bay, just in time to catch a rare view of Mt. Fuji at sunset. It felt like the universe’s quiet nod of ‘well done.’ ” 

— Dave Schlenker is a public relations specialist for the University of Florida’s Herbert Wertheim College of Engineering.



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AI Health Monitoring Platform Gets HHS Support for Predictive Healthcare

Yokneam Illit, Israel, June 25, 2025 (GLOBE NEWSWIRE) — Wearable Devices Ltd. (the “Company” or “Wearable Devices”) (Nasdaq: WLDS, WLDSW), a technology growth company specializing in artificial intelligence (“AI”)-powered touchless sensing wearables, recently announced the expansion of its Large Motor Unit Action Potential Model (“LMM”) into new potential markets, such as predictive health monitoring and […]

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Yokneam Illit, Israel, June 25, 2025 (GLOBE NEWSWIRE) — Wearable Devices Ltd. (the “Company” or “Wearable Devices”) (Nasdaq: WLDS, WLDSW), a technology growth company specializing in artificial intelligence (“AI”)-powered touchless sensing wearables, recently announced the expansion of its Large Motor Unit Action Potential Model (“LMM”) into new potential markets, such as predictive health monitoring and cognitive state analytics. This development will enable the broadening of bio-signal intelligence applications beyond wearables and will offer businesses and healthcare providers access to real-time physiological insights for monitoring health and wellness conditions.

This strategic expansion into predictive health monitoring aligns with the rising interest in personalized wellness devices. This interest is now demonstrated at the federal level. U.S. Secretary of Health and Human Services, Robert F. Kennedy Jr., has recently advocated for wearable devices to enhance health monitoring and cognitive well-being, underscoring the public and institutional momentum toward real-time data-driven care.

This announcement follows Wearable Devices’ recent introduction of LMM as a groundbreaking AI-driven bio-signal platform focused on gesture-based control in extended reality (“XR”) and neural interaction with digital devices. The Company’s LMM approach to analyzing muscle activity signals will support the expansion into the field of health monitoring, enabling users to enhance their performance across various domains.

From Passive Monitoring to Proactive Intelligence

Unlike traditional bio-sensors that collect data passively, LMM continuously learns and adapts, turning muscle activity signals from the wrist into actionable insights. The technology is now being evaluated in controlled environments for real-world applications, including:

  Predictive Health Monitoring – Detecting hidden patterns in muscle activity that may indicate early signs of health conditions before symptoms appear, revolutionizing preventive diagnostics and digital health tracking.
     
  Cognitive State & Performance Analytics – Monitoring focus, fatigue, and stress levels through muscle tone and micro-movements, optimizing work productivity and mental well-being.
     
  Exploring Predictive Analytics – Assessing whether continuous monitoring of neural data can improve AI-driven user behavior predictions.

A Platform for Innovation: Opening LMM to Business Partners

Recognizing the transformative potential of bio-signal intelligence, Wearable Devices is intending to make LMM available to enterprises, researchers, and developers. The Company’s AI-powered bio-signal data platform is expected to enable businesses to:

  Develop custom applications tailored to healthcare and sports for athletic performance optimization.
     
  Integrate real-time physiological insights into enterprise solutions to enhance safety, performance, and productivity.
     
  Leverage LMM’s AI engine to continuously refine predictive health and interaction models.

Following the initial evaluation phase, Wearable Devices aims to accelerate commercialization and strategic partnerships across the health sector, reinforcing its position as a pioneer in bio-signal intelligence and neural interface technology.

About Wearable Devices Ltd.

Wearable Devices Ltd. is a pioneering growth company revolutionizing human-computer interaction through its AI-powered neural input technology for both consumer and business markets. Leveraging proprietary sensors, software, and advanced AI algorithms, the Company’s innovative products, including the Mudra Band for iOS and Mudra Link for Android, enable seamless, touch-free interaction by transforming subtle finger and wrist movements into intuitive controls. These groundbreaking solutions enhance gaming, and the rapidly expanding AR/VR/XR landscapes. The Company offers a dual-channel business model: direct-to-consumer sales and enterprise licensing. Its flagship Mudra Band integrates functional and stylish design with cutting-edge AI to empower consumers, while its enterprise solutions provide businesses with the tools to deliver immersive and interactive experiences. By setting the input standard for the XR market, Wearable Devices is redefining user experiences and driving innovation in one of the fastest-growing tech sectors. Wearable Devices’ ordinary shares and warrants trade on the Nasdaq under the symbols “WLDS” and “WLDSW,” respectively.

Forward-Looking Statements Disclaimer

This press release contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, that are intended to be covered by the “safe harbor” created by those sections. Forward-looking statements, which are based on certain assumptions and describe our future plans, strategies and expectations, can generally be identified by the use of forward-looking terms such as “believe,” “expect,” “may,” “should,” “could,” “seek,” “intend,” “plan,” “goal,” “estimate,” “anticipate” or other comparable terms. For example, we are using forward-looking statements when we discuss the benefits and advantages of our devices and technology, including the potential of LMMs, the potential to accelerate commercialization and strategic partnerships across the health sector, the rising interest in personalized wellness devices and entering markets that need real-time physiological insights. All statements other than statements of historical facts included in this press release regarding our strategies, prospects, financial condition, operations, costs, plans and objectives are forward-looking statements. Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on our current beliefs, expectations and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of our control. Our actual results and financial condition may differ materially from those indicated in the forward-looking statements. Therefore, you should not rely on any of these forward-looking statements. Important factors that could cause our actual results and financial condition to differ materially from those indicated in the forward-looking statements include, among others, the following: the trading of our ordinary shares or warrants and the development of a liquid trading market; our ability to successfully market our products and services; the acceptance of our products and services by customers; our continued ability to pay operating costs and ability to meet demand for our products and services; the amount and nature of competition from other security and telecom products and services; the effects of changes in the cybersecurity and telecom markets; our ability to successfully develop new products and services; our success establishing and maintaining collaborative, strategic alliance agreements, licensing and supplier arrangements; our ability to comply with applicable regulations; and the other risks and uncertainties described in our annual report on Form 20-F for the year ended December 31, 2024, filed on March 20, 2025 and our other filings with the SEC. We undertake no obligation to publicly update any forward-looking statement, whether written or oral, that may be made from time to time, whether as a result of new information, future developments or otherwise.

Investor Relations Contact
Michal Efraty
IR@wearabledevices.co.il




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Apple Sports app adds live tennis scores and a redesigned home screen

The Apple Sports app, launched last year, is introducing tennis coverage ahead of Wimbledon, along with a redesigned home screen experience, Apple announced on Wednesday. Users will now be able to access live tennis scores for Grand Slam and 1000-level tournaments and can track every point across all men’s and women’s singles matches. Fans can […]

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The Apple Sports app, launched last year, is introducing tennis coverage ahead of Wimbledon, along with a redesigned home screen experience, Apple announced on Wednesday.

Users will now be able to access live tennis scores for Grand Slam and 1000-level tournaments and can track every point across all men’s and women’s singles matches. Fans can also stay updated on a player’s progress throughout tournaments and get results from every match from the first round through the finals.

Apple says the revamped home screen experience is designed to make it easier for fans to follow their favorite teams and leagues. Events and matchups are now grouped by league and displayed according to users’ preferred order.

Image Credits:Apple

Fans’ favorite teams always appear at the top, so it’s easy to quickly see the latest scores and updates.

Apple debuted Apple Sports in February 2024 and was updated last August with football scores and Live Activities. The app is available in the United States, Canada, and the United Kingdom.

Currently, the app also includes coverage for the Bundesliga, Champions League, Conference League, EFL Championship, Europa League, FA Cup, FBS and FCS NCAA College Football, LaLiga, League Cup, LIGA MX, Ligue 1, Men’s College Basketball, MLB, MLS, NBA, NFL, NHL, NWSL, Premier League, Serie A, WNBA, and Women’s College Basketball.



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Fitness Trackers Aren’t Accurate For People With Obesity | National News

Key Takeaways Fitness trackers aren’t accurately reflecting the effort of people with obesity Differences in gait, speed and energy burn throw the trackers off A new algorithm achieves more than 95% accuracy WEDNESDAY, June 25, 2025 (HealthDay News) — Fitness trackers aren’t accurately assessing the physical activity of people with obesity, a new study argues. […]

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Key Takeaways

  • Fitness trackers aren’t accurately reflecting the effort of people with obesity

  • Differences in gait, speed and energy burn throw the trackers off

  • A new algorithm achieves more than 95% accuracy

WEDNESDAY, June 25, 2025 (HealthDay News) — Fitness trackers aren’t accurately assessing the physical activity of people with obesity, a new study argues.

Differences in walking gait, speed, energy burn and other factors mean that folks with excess weight aren’t getting an accurate read from their devices, researchers wrote in the journal Scientific Reports.

“People with obesity could gain major health insights from activity trackers, but most current devices miss the mark,” senior researcher Nabil Alshurafa, an associate professor of behavioral medicine at Northwestern University Feinberg School of Medicine in Chicago, said in a news release.

Alshurafa’s team has developed a new algorithm that enables smartwatches to more accurately monitor the calories burned by people with obesity, researchers said.

Lab tests show that the new algorithm achieves over 95% accuracy in real-world situations, the study says.

“Without a validated algorithm for wrist devices, we’re still in the dark about exactly how much activity and energy people with obesity really get each day — slowing our ability to tailor interventions and improve health outcomes,” Alshurafa said.

Alshurafa said he was motivated to create the algorithm after going to an exercise class with his mother-in-law, who has obesity.

“She worked harder than anyone else, yet when we glanced at the leaderboard, her numbers barely registered,” Alshurafa said. “That moment hit me: fitness shouldn’t feel like a trap for the people who need it most.”

Current algorithms used by fitness trackers were built for people without obesity, Alsurafa explains.

Hip-held trackers often misread energy burn because people with excess weight walk with a different gait and wear the devices at a tilt, researchers said. Wrist-worn devices offer better accuracy, but haven’t been rigorously tested and calibrated for people with obesity.

The team tested their new algorithm against 11 other state-of-the-art methods for estimating exertion, using research-grade fitness trackers and wearable cameras to catch every moment when wrist sensors misread calorie burn.

In one group, 27 people wore a fitness tracker and a mask that calculates energy burn based on the amount of oxygen inhaled and carbon dioxide exhaled.

In another group, 25 people wore a fitness tracker and body camera during their daily activities, the study says.

Alshurafa also had people perform standard exercises modified to take their weight into account — for example, wall pushups as opposed to floor pushups.

“Many couldn’t drop to the floor, but each one crushed wall-pushups, their arms shaking with effort,” Alshurafa said, “We celebrate ‘standard’ workouts as the ultimate test, but those standards leave out so many people. These experiences showed me we must rethink how gyms, trackers and exercise programs measure success — so no one’s hard work goes unseen.”

The next step is to deploy an activity-monitoring app that uses the new algorithm for Apple- and Android-powered smartwatches, researchers said.

The algorithm is open-source, and other researchers are encouraged to test it and build upon it.

“To date, many works have examined the validity of proprietary algorithms from commercial activity monitors,” the research team wrote in their paper. “However, to the best of our knowledge, none of them have published an open-source algorithm that others can replicate using raw data obtained from commercially available wrist-worn sensing devices.”

More information

Harvard Medical School has more on the usefulness of fitness trackers.

SOURCES: Northwestern University, news release, June 19, 2025; Scientific Reports, June 19, 2025

What This Means For You

People with obesity might soon have more accurate fitness trackers to help them lose weight and improve their health.



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4 Biggest Technological Innovations Transforming Online Betting

You’ve probably noticed something different about sports betting lately. What started as simple digital versions of traditional bookmaking has morphed into something that’d make Silicon Valley take notes. We’re talking about an industry that’s processed nearly $520 billion in bets since 2018’s PASPA repeal — and that’s just getting started. The transformation isn’t accidental. Four […]

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You’ve probably noticed something different about sports betting lately. What started as simple digital versions of traditional bookmaking has morphed into something that’d make Silicon Valley take notes. We’re talking about an industry that’s processed nearly $520 billion in bets since 2018’s PASPA repeal — and that’s just getting started.

The transformation isn’t accidental. Four major innovations have reshaped how millions engage with sports wagering: live streaming that 67% of bettors now consider essential, mobile apps pulling in $7.4 billion annually in the US alone, virtual reality markets exploding at 53% yearly growth, and AI systems driving what’s become a $2.2 billion market heading toward $29.7 billion by 2032.

What’s fascinating isn’t just the scale — it’s how these advances create genuinely better experiences while building legitimate, regulated markets that benefit everyone involved. The industry’s push toward accessibility has reached new heights, with everything from 1 dollar deposit casino bonus offers to sophisticated mobile platforms designed to welcome newcomers without intimidating barriers to entry.

1. Stream and Bet

Here’s where things get interesting. Live streaming didn’t just add video to betting platforms — it fundamentally changed how people interact with sports wagering. YouGov’s research reveals that 67% of sports bettors would use sportsbook apps specifically for live streaming capabilities. More telling? A quarter of current bettors cite live streaming as their primary reason for opening accounts with new sportsbooks.

The numbers tell the real story. When you can watch and bet simultaneously, engagement shifts dramatically. That same YouGov study found 74% of respondents emphasizing the ease of placing bets while watching sports. It’s not rocket science — remove the friction between watching a game and acting on what you’re seeing, and behavior changes.

Stats Perform, one of the industry’s major data providers, now delivers over 20,000 live streaming events per year across football, tennis, and basketball. Think about that scale for a moment. ESPN’s recent integration exemplifies this trend perfectly — after linking ESPN and ESPN BET accounts in November 2024, they reported significant increases in customer engagement time, betting frequency, and parlay wagering. Their new streaming service launching at $29.99 monthly will feature advanced watch-and-bet capabilities.

This isn’t just about convenience. Live streaming transformed sportsbooks from betting platforms into entertainment destinations. The shift from placing a bet and waiting for results to actively engaging throughout an event represents a fundamental change in how people experience sports wagering.

2. Mobile Mania

Mobile betting apps didn’t just digitize traditional wagering — they created an entirely new economy. The numbers speak for themselves: US sports betting apps generated $7.4 billion in revenue during 2022, representing a 71% increase from the previous year. Across the pond, UK sports betting apps pulled in £2.36 billion that same year.

But here’s what’s really compelling about mobile’s dominance. The global sports betting market hit $49.96 billion in 2024 and is growing at a 7.68% compound annual growth rate, projected to reach $67.17 billion by 2028. That’s not speculative growth — it’s happening right now. The US market alone recorded $57.6 billion in legal wagers during just the first five months of 2025.

FanDuel leads the pack with 4.9 out of 5 stars on iOS and 4.7 on Android — ratings that reflect genuine user satisfaction rather than marketing spin. Meanwhile, bet365 dominates the UK market with similar user approval. These aren’t accidents. The apps that succeed combine intuitive interfaces with robust security features like SSL encryption and two-factor authentication.

What makes mobile betting particularly interesting is how it’s democratized access while maintaining security standards. You don’t need to understand complex betting terminology or visit physical locations. The best apps guide users through the process while providing real-time data, social sharing capabilities, and instant access to live betting markets. That accessibility, combined with the convenience of betting from anywhere, explains why mobile has become the primary channel for sports wagering.

3. Virtual Reality

VR gambling represents something genuinely new in the betting landscape. We’re looking at a market segment growing by $1.74 billion from 2021 to 2025 at a remarkable 53% compound annual growth rate. Supporting this expansion, the broader consumer VR market is projected to increase from less than $16 billion in 2024 to more than $18 billion by the end of 2025.

The infrastructure’s already substantial. Consumer VR hardware reached $11.4 billion in 2024, while the software market hit $4.3 billion. These aren’t pie-in-the-sky projections — VR casinos are operational right now, allowing players to walk through virtual casino floors, sit at blackjack tables, and chat with live dealers.

What’s compelling about VR betting isn’t just the novelty. It addresses a real limitation of traditional online gambling: the social element. When you’re sitting at a virtual poker table, chatting with other players and reading body language, you’re getting closer to the authentic casino experience than any flat-screen interface can provide. Some platforms are already testing VR poker tournaments and virtual slot machines that respond to your physical movements.

The technology requirements aren’t prohibitive either. You need a VR headset and solid internet connection — that’s it. Cloud computing handles the heavy lifting, making high-quality gambling experiences accessible on relatively basic hardware. It’s this accessibility that’s driving adoption rates industry analysts suggest could reach significant levels by 2025.

4. AI Algorithms

AI’s impact on sports betting goes well beyond what most people realize. The global market for AI in sports betting was valued at $2.2 billion in 2022 and is expected to grow at a 30.1% compound annual growth rate, reaching $29.7 billion by 2032. But here’s the kicker — virtually every oddsmaker at licensed and regulated sportsbooks already uses AI algorithms and predictive modeling to set betting lines.

Modern AI systems process in-game events and adjust odds within milliseconds. When a quarterback gets injured or a penalty gets called, AI responds faster than human bookmakers ever could. The systems run thousands of simulations in brief timeframes, analyzing massive datasets that include historical performance, player statistics, weather conditions, and even social media sentiment to create more accurate predictions.

AI outperforms traditional methods in six critical areas:

  • Processing large data volumes in real-time
  • Eliminating human bias from odds calculation
  • Adjusting live betting odds with unmatched speed
  • Detecting betting anomalies at scale
  • Automating profit margin calculations
  • Scaling efficiently across multiple sports simultaneously

What’s particularly interesting is how AI democratizes sophisticated analysis. Small operators can now access the same predictive capabilities that were once exclusive to major sportsbooks. The technology levels the playing field while improving accuracy across the industry.

The Convergence Effect

These innovations don’t operate in isolation — they’re converging into integrated platforms where AI-powered odds meet VR environments, mobile apps deliver live streams, and 5G enables truly real-time betting experiences. The industry’s transformation from simple wagering to AI-driven entertainment represents one of technology’s most successful applications to traditional commerce, creating more engaging, secure, and profitable experiences for operators, regulators, and consumers alike.

This convergence is reshaping not just how we bet, but how we think about the intersection of technology, entertainment, and regulated commerce. The results speak for themselves.



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KC-built sports tech startup acquired by AI-powered fundraising, engagement platform

The acquisition of Kansas City-built Athlete Network — a platform designed to foster lifelong connections between student-athletes and athletic alumni — deepens the startup’s work a decade after it launched, its founder said. “This is a huge milestone for our team, and I want to take a moment to sincerely thank our teammates, partners and […]

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The acquisition of Kansas City-built Athlete Network — a platform designed to foster lifelong connections between student-athletes and athletic alumni — deepens the startup’s work a decade after it launched, its founder said.

“This is a huge milestone for our team, and I want to take a moment to sincerely thank our teammates, partners and investors who have supported our mission over the years to revolutionize athlete engagement, career resources, and communication,” Chris Smith, who debuted Athlete Network in January 2015, said in a message to supporters and colleagues.

The company on Tuesday announced its acquisition by Seattle-based Gravyty, a provider of AI-powered engagement and fundraising solutions for higher education. Terms of the deal were not immediately disclosed.

Athlete Network has established a strong presence in the collegiate athletics space, providing a trusted platform for engaging student-athletes and alumni that reaches leading athletic institutions — including Penn State, Texas Tech, and Alabama.

With the acquisition, Gravyty — a K1 investment management portfolio company — will integrate its advanced fundraising and engagement solutions into Athlete Network’s ecosystem, helping athletic departments modernize development efforts as they take on increasing responsibility for donor engagement and fundraising efforts related to athlete revenue sharing opportunities, the companies said.

“I’ve always believed that athletics is one of the greatest human development systems in our society. It transcends culture, religion, and politics — teaching us how to lead, collaborate, and win. The pursuit of competing at the collegiate level has inspired millions of youth athletes to train hard, make sacrifices, and develop life skills that serve them far beyond the field of play.”

— Chris Smith,
Athlete Network

“As collegiate athletics undergoes a transformational shift — driven by NIL, the transfer portal, and revenue sharing — athletic departments face mounting pressure to reduce costs and increase revenue,” Smith said. “To succeed, they need a unified platform that leverages AI-powered targeting and video storytelling, delivers personalized stewardship to alumni, boosters, and supporters, and converts that engagement into philanthropic support.”

“With Gravyty’s fundraising automation, donor intelligence, and scalable outreach tools, I’m confident athletic departments will be better positioned than ever to meet the moment,” he continued, noting Gravyty serves more than 25 million students and alumni through its SaaS platforms and partners with thousands of institutions nationwide. 

The acquisition builds Gravyty’s broader category leadership in engagement infrastructure, the company said. Following its 2025 merger with Ivy.ai and Ocelot, Gravyty worked to unify best-in-class AI and automation across enrollment, student services, and advancement, said COO Ned Myers.

Now, with Athlete Network, Gravyty becomes the only provider enabling seamless engagement across every phase of the education lifecycle, including athletics, he added.

“Athletics has always been a powerful force for connection on campus,” Myers said. “This acquisition gives us the opportunity to provide athletic departments with the same market-leading fundraising infrastructure that advancement teams rely on every day.”





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Wearable Devices Advances AI Health Monitoring Platform as U.S.

Wearable Devices (WLDS, Financial) expands its AI platform into predictive health monitoring and cognitive state analytics. The move aligns with federal interest in wearable health technology, backed by U.S. Health Secretary Robert F. Kennedy Jr. LMM platform to be made available for enterprises, researchers, and developers for custom applications in healthcare and sports. Wearable Devices […]

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  • Wearable Devices (WLDS, Financial) expands its AI platform into predictive health monitoring and cognitive state analytics.
  • The move aligns with federal interest in wearable health technology, backed by U.S. Health Secretary Robert F. Kennedy Jr.
  • LMM platform to be made available for enterprises, researchers, and developers for custom applications in healthcare and sports.

Wearable Devices Ltd. (NASDAQ:WLDS) has announced the expansion of its Large Motor Unit Action Potential Model (LMM) into the domains of predictive health monitoring and cognitive state analytics. This strategic shift enhances the company’s AI-powered bio-signal platform, enabling real-time physiological monitoring that could substantially benefit health and wellness sectors.

The expansion aligns with growing federal interest in wearable health technologies, as underscored by U.S. Secretary of Health and Human Services Robert F. Kennedy Jr.’s recent advocacy. The LMM platform focuses on predictive health monitoring, cognitive state analytics, and predictive analytics. This expansion marks a significant step for Wearable Devices in transforming passive wrist-based muscle activity data into actionable health insights.

Currently, the LMM technology is in the evaluation phase within controlled environments. Despite the absence of a concrete commercialization timeline, the company intends to license the platform to enterprises, researchers, and developers. This B2B model aims to facilitate the development of custom healthcare and sports applications, potentially creating sustainable revenue streams contingent on successful partnerships.

With the wearables market rapidly growing, Wearable Devices will face competition from established industry players. While the company’s direction is bolstered by federal support, specific regulatory approvals and potential health condition applications for the LMM technology remain to be detailed.



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