Press release
Actiq launches AI digital twins of human sport coaches to train athletes remotely

AI digital twin of human sport coach powered by computer vision and LLM can improve the way coaching is delivered.
In an era where the intersection of technology and sports is creating new frontiers, Actiquest is set to launch a groundbreaking app that redefines athletic coaching.
Innovative AI Technology for Every Athlete
Actiquest's new app is designed to digitize the training process, allowing human coaches to create AI-twin coaches. These digital coaches can train athletes remotely, providing live recommendations, allowing real-time interaction, and offering rewards based on training performance .
Coaching and Tracking
The app's main functionalities include comprehensive athlete coaching across several sports and tracking athletes during workouts, play sessions, and socialized competitions. All activities within the app are gamified and incentivized, creating a motivating and engaging training environment .
Targeting a Global Audience of Sports Enthusiasts
Actiquest aims to reach out to the 1 billion people worldwide who love sports and occasionally seek training guidance. This wide target audience underscores the app's potential to democratize access to quality sports coaching .
Launch and Market Strategy
Set for completion in early 2024, with a focus on play sports, Actiquest's app will mark a significant milestone in the app's journey. The company has already seen success, collaborating with famous coaches and sport schools to create white-label apps. These collaborations have helped train the AI engine and validate the product-market fit .
Transforming Sports Training with AI
Actiquest envisions a future where AI technology dramatically changes the sports industry. By providing autonomous AI sport coaches and a multi-sport approach, the company aims to make high-quality coaching accessible to everyone. This approach is not only cost-effective but also offers a more personalized and available alternative to traditional human coaching .
The app utilizes advanced pose estimation technology to track and analyze coach movements, creating a adjustable 'coach digital twin'. This model serves as a reference for athletes, allowing them to understand and mimic techniques accurately. The integration of a Large Language Model (LLM) extends the app's functionality, enabling it to provide real-time feedback, personalized training programs, injury prevention guidance, and psychological support. This comprehensive approach ensures that the app meets the nuanced needs of athletes, making high-quality coaching more personalized and accessible than ever before .
With Actiquest's innovative app, the future of sports training is here. Offering a unique blend of AI technology and human expertise, the app is poised to transform how athletes train, compete, and achieve their goals.
To know more, please read news and articles at our LinkedIn page
https://www.linkedin.com/company/actiquest/
548 Market St PMB 53453
San Francisco, California 94104-5401 US
Michael Aprossine
CPO at Actiquest
hi@actiq.xyz
Actiquest is developing technology for autonomous and constantly learned AI sport coaches based on the latest developments in AI: deep learning, computer vision and generative AI enabled with NLP/speech-to-prompt. The technology allows human coaches to digitize the training process and create its AI-twins using mobile app to train athletes remotely.
This release was published on openPR.
Permanent link to this press release:
Copy
Please set a link in the press area of your homepage to this press release on openPR. openPR disclaims liability for any content contained in this release.
You can edit or delete your press release Actiq launches AI digital twins of human sport coaches to train athletes remotely here
News-ID: 3288635 • Views: …
More Releases from Actiquest

Actiquest Inc., multimodal AI solutions provider for Healthcare, Robotics and Sp …
We are delighted to announce today Actiquest's selection to participate in the NVIDIA Inception program, an initiative dedicated to nurturing startups revolutionizing industries with advancements in AI and data sciences.
Actiquest Lab develops multimodal generative AI solutions augmented with computer vision and natural language processing for robotics, healthcare and sports.
In Sports, Actiquest is developing technology for AI sport coaches (human digital twins) based on a symbiosys of computer vision and…
More Releases for LLM
Emerging Trends Influencing The Growth Of The Large Language Model (LLM) Market: …
The Large Language Model (LLM) Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].
How Big Is the Large Language Model (LLM) Market Size Expected to Be by 2034?
The large language model (LLM) market has experienced exponential growth in recent years. It is projected to grow…
Large Language Model(LLM) Market Strategic Trends for 2032
The Large Language Model (LLM) market has emerged as a transformative force in the realm of artificial intelligence, reshaping industries and enhancing human-computer interaction. As the demand for sophisticated natural language processing capabilities surges, LLMs have become integral to applications ranging from chatbots and virtual assistants to automated content generation and data analysis. Their relevance spans across sectors, including healthcare, finance, education, and beyond, reflecting the vast scope and potential…
Top Factor Driving Large Language Model (LLM) Market Growth in 2025: The Role Of …
"How Big Is the Large Language Model (LLM) Market Expected to Be, and What Will Its Growth Rate Be?
The substantial language model (LLM) market sector has seen explosive growth in recent past. Projections show an increase from $3.92 billion in 2024 to $5.03 billion in 2025 with a composite annual growth rate (CAGR) of 28.3%. The previous growth period experienced enhancement due to the broadening of natural language processing (NLP)…
Jenti's Specialized LLM: Building a Safer, Smarter AI Model Beyond GPT-4
2024 marked the year of increased interest in generative AI technology, a chat-bot service based on RAG(Retrieval-Augmented Generation. These services give out answers similar to a new company recruit. They make mistakes, they do write up reports but they've got a long way to go. But with the proper directions, they understand and apply it well.
In August 2024, Jenti Inc. along with Hyundai Engineering developed the first plant specialized large…
Driving Business Efficiency with Intelliarts' New White Paper on RAG and LLM Int …
November, 2024 - Intelliarts, a leading provider of AI and machine learning solutions, has published their latest white paper "Driving Business Efficiency with RAG Systems and LLM Integration." This comprehensive guide explores how Retrieval Augmented Generation (RAG) technology can optimize Large Language Models (LLMs) to provide more accurate, context-rich, and actionable business outcomes.
As industries increasingly adopt LLMs for tasks such as automation, customer service, and content creation, they often face…
Global Large Language Model(LLM) Market Research Report 2023
Global Large Language Model (LLM) Market
The global Large Language Model(LLM) market was valued at US million in 2022 and is anticipated to reach US million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
A big language model is one that has a large capacity for deep learning tasks and typically has a complicated…