Powered by

# FAQ

# This Q&A will help you understand what Actiq is in a nutshell

# Why Actiq?

Actiq disrupts sport coaching using combination AI and web3. We lowering high cost and expanding limited availability human sports coaches with AI. We meet needs for tailored immersive training programs. We're boosting a low motivation > to learn new sports. We solve web3 users' poor engagement in physical activities, excessive screen time and casual gaming discourage healthy habits.

# What is Actiq?

Actiq is a state-of-the-art super app for all sports fans, which opens completely new perspectives in mastering various types of sports (tennis, padel, cricket, baseball, etc). The application is powered by the latest developments in Artificial Intelligence Gamified Coach (AIGC) technology and enhanced with web3 based train2earn mechanics. This has never happened before (Sport Knowledge AI that can incentivize athletes). New users in the sports industry are going to come into crypto space, both coaches and sport lovers. Competitors include Web2 tracking apps without AI and rewards tools (Strava) or M2E apps like StepN, which have a lower impact on sports and wellness. Secondary we're solving problem of decentralized ownership of AI models stored on blockchain and distributing the value of AI inference via DAO which is important for expanding horizons of AI & Web3 synergy.

# What makes Actiq's multimodal AI unique for sports training? Can you elaborate on how the AI integrates with wearables and uses vision transformers to track and coach in real-time?

We are working to bring the AI revolution into sports. The Sports Knowledge LLM will support all forms of sports that mankind has ever invented. Sport knowledge is needed by the superior Computer Vision component for recognizing human body movement in great detail at a high frame rate, outperforming human vision. By seamlessly integrating real-world data from wearables, computer vision through reasoning intelligence, and instant voice feedback from athletes, we can create AI sport coaching agents that are much like humans and give comprehensive insight into an athlete's performance.

Key advantages include:

  1. Real-time multi-modal data convergence of CV and wearables with human feedback for multi-angle data analysis by AI.
  2. Seamless wearables integration. AI is stitched into all existing health data providers and works in the background.
  3. Vision Transformers. Technology for the Computer Vision part that outperforms CNNs in body posture/movement patterns recognition at 60 fps and can run live on an athlete's smartphone in real time.
  4. Intelligent Coaching and Feedback. The multimodal approach employs AI for personal feedback with actionable insight during training sessions. For instance, if an athlete's form breaks down on a particular move, the vision transformer acts with data from wearables to detect just that, and it will suggest changes on the spot for the athlete to adjust and improve on the spot.
  5. Adaptability and Customization. Actiquest Sport AI can support the adaptation of different sports and training needs by changing its parameters of tracking, hence becoming very versatile. It will be able to offer various levels of skills and intensities, therefore giving customized feedback that would be relevant in the performance of the user and in the achievement of his goals.

# How does Actiq's AI differentiate between sports (e.g., tennis vs. cricket)? Are there unique coaching techniques or tailored feedback loops for each sport?

Special pre-trained CV models and sport-specific data models stored in Sport Knowledge LLM help Actiquest AI identify the differences in sports, along with specific health data models collected directly from wearables.

  1. Customized Vision Transformer models. ViT is trained for identifying certain forms and movements which differ from one sport to another. For tennis, this would be tracking the racket's path in swings and the center of gravity by swing and foot placement. In cricket, these aspects come down to the trajectory of the bat, the stability of the stance, and the precision of bowling actions. In each sport, different visual elements receive primary concentration so that AI can follow critical movement differences. We commence training of ViT on 1,000 athletes within a few sports parallel.
  2. Sport-specific wearable data analysis. Actiq captures relevant metrics using wearables depending on the demands of the sport. In tennis, these could be lateral speed of movement, racket swing speed, and wrist flexibility, while in cricket, wearables may track arm rotation during bowling, the angles of batting, and running dynamics.3. Adaptive Training Plans: Ours AI gives sport-specific training recommendations-agility drills for tennis players to improve court coverage, or strength and flexibility routines for bowlers in cricket, for example. These adaptive plans respond to each athlete's performance, making sure they're training the exact skills needed to excel in their sport.
  3. Real-Time, Contextual Coaching. AI automatically detects any context-specific actions during live training. It suggests making those necessary changes mid-swing or mid-serve for tennis and coaching the bowler to adjust arm angles or the batsman to change the stance based on the observed technique in cricket. The real-time feedback raises the quality of the training by addressing sport-specific needs of that very moment.

# What types of data does Actiq’s AI collect from users? Is there a system in place to ensure privacy and consent for wearable and health data collection?

The Actiquest AI collects a wide range of data to provide a very detailed analysis of the athletic performance, focusing on metrics that enhance training feedback.

Types of Data Collected:

  1. Biometric Data. These include heart rate, respiration rate, which are gathered through wearable sensors in order to monitor an athlete's physical exertion and recovery.
  2. Movement and Positional Information. Sensors and cameras observe the travel of the body, joint angles, and posture to assess the technique. In tennis, for instance, it may involve tracking arm angles and position of the wrist during a swing.
  3. Environmental Data: Temperature, humidity, and even altitude may be tracked as an insight into how external conditions affect performance.
  4. Performance Metrics. Actiq collects metrics such as speed, acceleration, and agility that are useful for an athlete to monitor improvement in core areas of performance over time.
  5. Personal Health Data. If consented to, further health information-injury history, flexibility levels, and fatigue markers-can also be included in order to further tailor training routines.

# Can you explain the role of the vision transformers in Actiq’s AI? How do they enable real-time visual feedback for sports movements at 60-fps speed?

Vision transformers enables real-time, high-precision full body tracking and precise near to rel-time feedback of movements in sports.

  1. Attention Mechanism. Other than traditional CNNs that usually analyze fixed regions of an image, vision transformers make use of an attention mechanism that allows them to selectively focus their attention on crucial areas such as the position of limbs or equipment like a tennis racket without necessarily having to analyze the whole frame. This is important in sports because subtle movements may be indicative of technique or form.
  2. 3D Body Pose Capture. The transformer architectures of vision are trained for tracking full-body motion capture, detailed face mechanics, and even fingers to achieve highly accurate pose estimation in real time without any specific camera calibration.
  3. Frame-by-Frame Consistency: The vision transformers ensure that AI tracks fast movements smoothly while processing every frame at 60 fps. Each frame is matched against its predecessors to trace changes in position or technique, hence allowing the AI to track an athlete's real-time motion without lag. This continuous tracking stands out as the key to providing fluid, uninterrupted feedback.

# How does the Actiq AI adapt to different fitness levels? Does it adjust goals and training plans based on the user’s progress, and how is this measured?

Actiq AI is designed to adapt dynamically to an athlete’s fitness level, tailoring goals and training plans to their unique capabilities and progress.

  1. Initial Assessment. When a new user starts, Actiq AI conducts an initial assessment based on baseline metrics like endurance, strength, flexibility, and any sport-specific skills. This helps the AI understand the athlete's current fitness level, setting a foundation for personalized training.
  2. Customized Training Goals. Based on the initial assessment, Actiq creates goals that match the user’s abilities. For a beginner, the focus might be on building foundational strength and form, while an advanced athlete might receive more specialized goals like refining technique or increasing speed.
  3. Adaptive Difficulty Scaling. The AI monitors real-time metrics such as heart rate, power output, and fatigue indicators to adjust the intensity of exercises during workouts. For instance, if the AI detects the user struggling to maintain form, it can reduce the intensity of a particular drill, or if the user is handling exercises easily, it can increase difficulty to keep workouts challenging.
  4. Progress Tracking Metrics. AI measures various metrics to gauge an athlete’s improvement over time:
    • Performance Metrics: Speed, strength, agility, endurance, and specific skill indicators are tracked. If an athlete consistently hits target speeds or reps, the AI recognizes this as improvement.
    • Form and Technique: Using vision transformers, the AI tracks movement quality, identifying improvements in form. If an athlete’s technique becomes smoother and more precise, this is logged as progress.
    • Recovery and Fatigue Levels: Actiq also monitors how quickly athletes recover between exercises and their fatigue levels over the session. Faster recovery times indicate improved fitness.
  5. Weekly and Monthly Goal Adjustments. Based on these metrics, Actiq adjusts training goals on a weekly or monthly basis. For example:
    • Beginner to Intermediate Progression: If a beginner improves their endurance and basic strength, Actiq may introduce more complex exercises or increase the volume of work, pushing them into an intermediate training plan.
    • Skill Refinement for Advanced Users: For advanced athletes, Actiq refines and intensifies drills targeting technique, speed, or endurance, continually evolving the program to avoid plateaus.
  6. Feedback Loop and Goal Realignment. Actiq incorporates a feedback loop to refine training plans as users progress. It recognizes when athletes consistently hit or exceed targets and realigns goals accordingly, ensuring they remain challenging and aligned with the athlete’s growth.
  7. Goal Variability Based on User Preferences. Actiq allows users to set specific goals, such as strength or agility improvements, and adapts the training plan to emphasize those areas. This flexibility ensures the AI aligns with the user’s personal fitness objectives while still providing comprehensive, balanced training.

# What’s the user experience with Actiq Wallet on Telegram like? How do users earn $ACTI and complete tasks within this soft launch, and are there rewards available already?

In the Actiq Wallet soft launch on Telegram, the user experience centers around engaging with a gamified,task-based platform where users can earn $ACTI tokens by completing various activities.

  1. Telegram Integration. Actiq Wallet is built within Telegram, making it accessible and easy to use on a familiar messaging app. Users interact with the wallet through chat commands and buttons, which guide them through earning, tracking, and redeeming rewards. Also it simplifying a user aquistion from targeted telegram communities.
  2. Task-Based Earning. Users earn $ACTI tokens by completing specific tasks assigned within the Telegram wallet interface. Tasks are designed to be simple and engaging, such as following social media accounts, sharing content, or participating in community discussions. Each task completed earns users a certain amount of $ACTI tokens, which they can view and track in their Actiq Wallet. Sport tasks like Strava airdrop - 30 $ACTI per 1km of run is just one of examples.
  3. Gamified Interface. The wallet experience is gamified, with a reward system that incentivizes users to complete more tasks. Some users report a straightforward experience where notifications prompt them to take part in new activities as they become available, keeping engagement levels high.
  4. Onboarding Rewards. New users may earn initial tokens as a welcome bonus upon joining the Actiq Wallet community, giving them an incentive to explore the platform.
  5. Social and Community Engagement. $ACTI tokens are earned by engaging with Actiq’s social media channels, promoting content, or actively participating in community activities, such as sharing insights or giving feedback within the Telegram group.
  6. Task Progression. Actiq Wallet offers a progression of tasks that users can complete over time (like collecting daily tickets), keeping the experience fresh and allowing regular earning opportunities. Each task carries a token reward (not points), with some tasks being one-time events and others recurring.
  7. Reward Redemption. Users accumulate $ACTI balance in their wallets and can redeem these tokens for in-app benefits or potentially exchange them for other rewards within the Actiq ecosystem. During the soft launch, rewards are typically focused on incentivizing early participation, with options to redeem tokens once the platform matures.
  8. Early Access Perks. Early users may also unlock exclusive perks, such as higher earning potential or priority access to upcoming Actiq features and products. For example get a drop of meme coin $ACTICAT, that starts in early November. These incentives help foster a loyal user base and reward early adopters.
  9. Future Growth Potential. As the soft launch progresses, Actiq may introduce additional rewards and exchange possibilities, encouraging users to continue accumulating $ACTI (like Grand Prix campaign, which is starts before IDO) and participate actively in the ecosystem.

# How does Actiq's play-to-earn model work with $ACTI? Are rewards proportional to the user's engagement, and how sustainable is this model long-term?

The onboarding process for new users with Actiq’s gamified AI Coaches is designed to be interactive and personalized.

  1. Initial Fitness Assessment
    • Baseline Evaluation. New users typically go through an assessment that gauges their current fitness level. This includes basic metrics like endurance, strength, flexibility, and any sport-specific skills relevant to the user’s interests. AI will analyze athlete's Strava acquired data.
    • Wearable and Sensor Integration. If the user has compatible wearables, Actiq will integrate this data to capture real-time metrics like heart rate and movement quality, adding precision to the assessment.
    • Personal Health Information. Users may also input information about previous injuries, personal goals, and health conditions, which Actiq uses to tailor the program further.
  2. Personalized Goal-Setting
    • Goal Customization. Based on the initial assessment, the AI coaches work with the user to set realistic, motivating goals. These goals could focus on areas like improving endurance, mastering specific techniques, or achieving a fitness milestone.
    • Adaptive Progression. Goals are designed to evolve as users make progress, with the AI adjusting intensity and complexity to keep the user on a steady path toward improvement.
  3. Gamified Task Setup
    • Daily and Weekly Tasks. Actiq provides users with daily and weekly tasks to gamify the training experience. Tasks may range from completing specific exercises to engaging in skill-building drills, with rewards for completing milestones.
    • Leveling and Rewards. Users earn points or $ACTI tokens for completing tasks and reaching goals, adding a motivational layer to the training process. As users progress, they unlock more challenging tasks, helping them advance through levels.

# What monetization models Actiq is exploring? Will Actiq include subscription tiers, in-app purchases, or external partnerships to create revenue beyond token incentives?

Actiq is exploring several monetization models that go beyond token incentives to create a sustainable revenue stream and enhance the user experience.

  1. Subscription Tiers
    • Freemium Model. Actiq offer a free, basic tier with essential features to attract a broad user base, while advanced features are gated behind subscription tiers.
    • Premium Tiers. Paid subscription tiers could unlock enhanced AI coaching, advanced analytics, personalized training plans, and access to exclusive content or challenges. The higher tiers may offer added benefits, like deeper progress insights and access to live training sessions with coaches.
  2. In-App Purchases (IAP)
    • Training Enhancements. Users may have the option to purchase specialized programs from celebrity sport coaches in various sports like Maria Sharapova and Venus Williams (TBA).
  3. Phygital Sport Marketplace (may be included in subscription plan)
    • Branded Collaborations. Actiq could partner with sportswear brands, wearable tech companies, and fitness equipment providers to offer co-branded challenges, exclusive rewards, or sponsored content.
    • Affiliate Partnerships and Product Integration. Actiq may incorporate affiliate links or recommendations for fitness equipment, supplements, or wearable devices that complement the AI-driven training programs. Users could be incentivized with $ACTI tokens or discounts for purchases through Actiq’s partners.
  4. Corporate Wellness Plans. Partnering with corporations for wellness initiatives could allow Actiq to offer packages for employee health and fitness programs, with customized plans and corporate access to the platform.
  5. Professional Sports and Fitness Organizations. Actiq will monetize aggregated, anonymized performance data for insights into fitness trends or performance benchmarks. Fitness clubs, sports academies, and health researchers could benefit from these insights, allowing Actiq to enter the B2B space as a data provider.
  6. Commerce grade APIs for Third-Party Integrations. Actiq’s AI capabilities could be offered to other fitness platforms, providing specialized AI modules or analytics tools for their users, creating an additional revenue stream.

# How does Actiq plan to foster community-driven AI training? What is the DAO’s role in model training, and how does Actiq ensure high-quality contributions?

Actiq’s approach to fostering community-driven AI training centers on using a decentralized autonomous organization (DAO) structure, where users and stakeholders collectively contribute to and oversee model improvements.

  1. Role of the DAO in AI Model Training
    • Data Curation and Model Refinement. The DAO enables Actiq’s community members to participate in the curation of training data and suggest model refinements.
    • Voting on Incentivizing Protocol Updates. Through the DAO, members can vote on which model updates or features should be prioritized, ensuring that model development aligns with community interests. This democratic process allows users to have a say in what they need most, enhancing the relevance of AI training.
    • Sport-Specific AI Tuning. The DAO might establish subcommittees or working groups focused on specific sports. These groups can recommend and test adjustments to the AI models, ensuring each sport’s nuances are well-represented and that training stays accurate and beneficial.
  2. Community Contributions and Incentivization
    • Incentives for High-Quality Contributions. To attract and retain quality contributions, Actiq incentivizes users with $ACTI tokens for verified, valuable inputs. Contributions might include sharing real-time performance data, suggesting new training programs, or tagging and annotating workout footage to improve the model’s accuracy.
    • Validation Mechanisms. Community members can validate each other’s contributions, ensuring that only high-quality inputs make it into the training pipeline. This peer-review process helps Actiq maintain data integrity while encouraging users to participate meaningfully.
    • Expert Input and Supervision. Actiq may involve coaches, trainers, or professional athletes in the DAO to provide expert insights and ensure that AI adjustments are beneficial. This expert oversight helps ensure that community-driven model updates meet high standards.
  3. Profit sharing. DAO members will be able to share profits from AI models evaluation based on their contribution levels.
    • Distributing profits for Contributors. Actiq may implement a reputation or ranking system where contributors earn reputation points based on the quality of their inputs for taking a part in profits coming from AI model utilization. Those with higher reputations gain more influence in decision-making, helping Actiq incentivize and identify reliable contributors.
  4. Long term governance on stored AI data.
    • Transparent Model and Data Governance. Through the DAO, Actiq establishes transparent governance of data and AI models, allowing community members to track and understand how their contributions impact the training process and model outcomes.

# How are training data and AI models managed and stored within the ICP-based DAO? Are there safeguards in place to maintain the models' integrity and security?

Within Actiq's Internet Computer Protocol (ICP)-based DAO, training data and open-source Sport AI models are managed and stored through a decentralized and secure infrastructure, leveraging the ICP’s blockchain and distributed storage capabilities.Here are the features:

  1. Distributed Data Storage. The ICP offers decentralized storage through canisters (smart contracts) that store both training data and model parameters across multiple nodes. This distribution prevents a single point of failure, ensuring data resilience and accessibility across the network.
  2. Version-Controlled Model Management. AI models within the ICP-based DAO are version-controlled, meaning each iteration of the model is stored separately and accessible for tracking changes or reverting updates if necessary. This helps maintain a transparent history of model development, allowing the community to audit changes and understand the evolution of each model.
  3. Voting Mechanisms for Model Updates. The DAO leverages ICP’s consensus protocol to validate and authorize updates to AI models. Before any model modification or new training data is integrated, a voting process ensures community approval, protecting the model’s integrity against unauthorized changes.
  4. Immutable Audit Trails. Each change to the training data or AI models is logged on the ICP blockchain, creating an immutable audit trail. This traceability allows the DAO to track the source and details of each contribution, improving accountability and fostering trust within the community.
  5. Quality-Controlled Data Submission. Community members submit training data that goes through a validation process, where other DAO members or validators review it for accuracy and relevance before it’s incorporated into the model. This peer-reviewed approach ensures only high-quality data enters the model training pipeline.
  6. Expert Oversight for Critical Model Updates. For major model changes, the DAO may involve experts or designated reviewers to validate and approve updates. This extra layer of oversight helps prevent low-quality or erroneous data from influencing the AI’s performance.
  7. Transparent Governance Framework. The DAO’s governance framework includes rules for data submission, model updates, and emergency rollback protocols. This governance ensures that models remain aligned with community goals and that the quality of training data is consistently high.
  8. Backup and Recovery for decentralized CDN. ICP’s distributed storage architecture inherently offers data redundancy, which means that training data and AI models are backed up across multiple nodes. This resilience ensures model continuity even in the event of node failures or other disruptions.

# What feedback has Actiq received from its early adopters and athlete community? Has any feedback led to substantial changes in the app or AI features?

During custdev sessions, Actiq has gathered significant insights from its early adopters and athlete community, leading to substantial changes in both the app and its AI features

  • Simplified Onboarding and Improved app and web3 dashboard UX
  • Need for More Personalized Training Programs
  • Desire for Real-Time Correction on Form and Technique
  • Comparatively simple onboarding, including account abstraction when creating web3 prerequisites
  • Streamlined User Experience (UX) even voice-chat and gesture app interaction mode using wearables (not on-screen interface clicks but gestures)
  • Data Privacy Concerns while using ViT and phone cameras
  • Enhanced Sport-Specific AI Modules outputs. Example: Runners now receive more detailed stride analysis, while strength-based athletes get guidance on form and muscle engagement
  • Monetary motivation points. Incentivizing Real Commitment over Short-Term Participation. Some athletes mentioned that moderate rewards attract users genuinely committed to fitness and personal improvement rather than those motivated solely by monetary gain. They argued that a balanced reward structure would cultivate a community focused on long-term growth, with members invested in achieving personal goals rather than immediate financial benefits.

# List of investors (both VCs and angels)

  1. Equity raise, pre-seed round:
    • BHP Investments (no token warrant, hard commit) - $120K
    • Heartcore (no token warrant, hard commit) - $150K
  2. Token raise, SAFT/KOL round:
    • IBC Group - $100K (hard commit)
    • Dmitry Gavrilov (Angel) - $45K (hard commit)
    • SPRS Research - $20K (hard commit)
    • KOLs group - $37,5K (hard commit)

# List of partners

  • Sport Ambassadors: Becker Tennis Academy, Liudmila Vauchok, Alex Konviser
  • Media Partners: IBC Group, Cointelegraph, C-level KOLs (Mario Nawfal, Scott Melker, Kim Dotcom, Bloomberg Crypto
  • Tech Partners: Nvidia, Meta, Google, Voxel, Hitachi, AWS, ICP, SKALE

# Community growth traciton so far

~50K in October =>150K in November (Twitter, Telegram).

# What is the ultilities for the token?

$ACTI Incentive token serves as a core element of Actiq's ecosystem, offering multiple utilities designed to enhance user engagement, motivate participation, and create a sustainable platform economy.

  1. In-App Purchases and Premium Features
    • Unlock Advanced AI Coaching. Users can use $ACTI tokens to access enhanced AI coaching features, such as advanced movement analysis, detailed progress reports, or custom training programs. These premium features help athletes receive more personalized and in-depth feedback.
    • Exclusive Training Content. Some specialized training routines, technique-focused programs, or sport-specific drills may be accessible only with $ACTI tokens, allowing users to customize their fitness journey with unique resources.
  2. Reward and Motivation System
    • Task Completion Rewards. Actiq uses $ACTI tokens to reward users for completing various tasks, such as engaging with the community, participating in challenges, or achieving fitness milestones. This play-to-earn approach motivates users to stay active on the platform.
    • Progress Milestones and Achievements. As users hit milestones or achieve personal goals, they can earn $ACTI tokens, reinforcing their commitment to training and creating a sense of accomplishment.
  3. DAO Governance
    • Voting on Platform Decisions. $ACTI token holders can participate in governance by voting on important platform decisions, such as feature updates, new content, or the allocation of community funds. This allows users to have a voice in Actiq’s development and ensures the platform remains user-centered.
    • DAO Membership and Influence. Holding $ACTI tokens may grant users membership in Actiq’s decentralized autonomous organization (DAO), giving them influence over AI model adjustments, data governance, and new training programs.
  4. Marketplace and Ecosystem Integrations
    • Purchases with Partners. Actiq may develop partnerships with fitness brands, wellness providers, or equipment manufacturers, allowing users to spend $ACTI tokens on products or services within an Actiq marketplace, offering real-world value.
    • Incentives for Data Contributions. Users who contribute valuable training data, like movement recordings or form corrections, might earn $ACTI tokens as a reward, fueling the AI's ongoing improvement and keeping the data ecosystem vibrant.
  5. Token Staking
    • Staking for Rewards. Users may have the option to stake their $ACTI tokens to earn additional rewards, which could include exclusive content, higher reward rates, or early access to new features.
    • Loyalty and Status Tiers. Staking or holding $ACTI tokens could unlock loyalty tiers that come with benefits like discounted in-app purchases, priority customer support, or invitations to beta-test new features.

# What is the ultilities for the $ACTI token

The $ACTI token serves as a core element of Actiq's ecosystem, offering multiple utilities designed to enhance user engagement, motivate participation, and create a sustainable platform economy.

  1. In-App Purchases and Premium Features
    • Unlock Advanced AI Coaching. Users can use $ACTI tokens to access enhanced AI coaching features, such as advanced movement analysis, detailed progress reports, or custom training programs. These premium features help athletes receive more personalized and in-depth feedback.
    • Exclusive Training Content. Some specialized training routines, technique-focused programs, or sport-specific drills may be accessible only with $ACTI tokens, allowing users to customize their fitness journey with unique resources.
  2. Reward and Motivation System
    • Task Completion Rewards. Actiq uses $ACTI tokens to reward users for completing various tasks, such as engaging with the community, participating in challenges, or achieving fitness milestones. This play-to-earn approach motivates users to stay active on the platform.
    • Progress Milestones and Achievements. As users hit milestones or achieve personal goals, they can earn $ACTI tokens, reinforcing their commitment to training and creating a sense of accomplishment.
  3. DAO Governance
    • Voting on Platform Decisions. $ACTI token holders can participate in governance by voting on important platform decisions, such as feature updates, new content, or the allocation of community funds. This allows users to have a voice in Actiq’s development and ensures the platform remains user-centered.
    • DAO Membership and Influence. Holding $ACTI tokens may grant users membership in Actiq’s decentralized autonomous organization (DAO), giving them influence over AI model adjustments, data governance, and new training programs.
  4. Marketplace and Ecosystem Integrations
    • Purchases with Partners. Actiq may develop partnerships with fitness brands, wellness providers, or equipment manufacturers, allowing users to spend $ACTI tokens on products or services within an Actiq marketplace, offering real-world value.
    • Incentives for Data Contributions. Users who contribute valuable training data, like movement recordings or form corrections, might earn $ACTI tokens as a reward, fueling the AI's ongoing improvement and keeping the data ecosystem vibrant.
  5. Token Staking
    • Staking for Rewards. Users may have the option to stake their $ACTI tokens to earn additional rewards, which could include exclusive content, higher reward rates, or early access to new features.
    • Loyalty and Status Tiers. Staking or holding $ACTI tokens could unlock loyalty tiers that come with benefits like discounted in-app purchases, priority customer support, or invitations to beta-test new features.

# Who are Actiq competitors (top 3)

Here’s an overview of Actiq’s top three competitors in the AI-driven fitness and wellness space, what they’re building, and how Actiq’s unique approach gives it a competitive edge:

  1. Freeletics

    • What They’re Building: Freeletics offers an AI-powered fitness app focused on high-intensity interval training (HIIT) and bodyweight exercises. They provide personalized workout plans, adaptive coaching, and video demonstrations. The app emphasizes building fitness with minimal equipment, making it accessible for users training at home or outdoors.

    • How They’re Doing It: Freeletics uses an AI algorithm to tailor workout programs based on user feedback, performance, and goals. They leverage a large community for social motivation, sharing progress, and participating in challenges, which helps boost engagement and retention.

    • Actiq’s Competitive Edge: Actiq focuses on multimodal AI with real-time feedback, particularly through wearable integrations and vision transformers for form correction. This real-time responsiveness and sport-specific coaching set Actiq apart, especially for athletes and users seeking precise movement analysis rather than just bodyweight HIIT routines.

  2. WHOOP

    • What They’re Building: WHOOP combines a wearable device with a coaching platform that monitors sleep, recovery, and fitness strain. It’s especially popular among athletes who want a detailed understanding of their recovery and performance metrics, providing insights into optimizing workouts based on rest and strain levels. How They’re Doing It: WHOOP gathers continuous biometric data from its wearable, such as heart rate variability (HRV) and sleep stages, to deliver personalized recommendations. The app uses these metrics to create a daily "strain" score and guides users on how much exertion they should aim for, based on their recovery status.

    • Actiq’s Competitive Edge: While WHOOP is strong on recovery and strain insights, Actiq combines these biometric insights with actionable, real-time workout feedback and adaptive goal-setting. Actiq’s focus on multimodal training (combining wearables, visual AI, and community feedback) allows for a comprehensive training ecosystem, not just limited to recovery metrics.

  3. Peloton

    • What They’re Building: Peloton offers a connected fitness platform with live and on-demand workout classes, mainly focusing on cycling, running, and strength training. Their platform emphasizes interactive classes, gamification, and community engagement, with a strong social component through live leaderboards and in-class metrics.

    • How They’re Doing It: Peloton’s model combines a high-quality at-home fitness experience with gamified elements and social connectivity. They use live instructors, motivational tracking, and competitive leaderboards to drive user engagement, creating a social fitness experience.

    • Actiq’s Competitive Edge: While Peloton excels in live classes and social engagement, Actiq’s AI coaches provide personalized, sport-specific training insights that adapt to individual performance in real time. Actiq’s decentralized and community-driven approach (through DAO governance) gives users a voice in app development and training customization, creating a feedback-driven platform that evolves with its user base.

Actiq’s Unique Competitive Moat

  1. Real-Time Multimodal AI: Actiq’s unique blend of wearable integration, vision transformers, and biometric analysis allows it to deliver actionable, real-time feedback that’s adaptable to different sports and fitness levels.
    Decentralized Community Input and DAO Governance: By integrating a DAO, Actiq empowers users to influence app development, AI model adjustments, and training content, creating a community-driven platform that adapts directly to user needs.
  2. Comprehensive, Sport-Specific Coaching: Actiq goes beyond general fitness or specific exercises by providing sport-specific insights and real-time movement correction, making it ideal for athletes or users serious about refining their technique.
  3. Token-Based Incentives and Gamification: $ACTI tokens incentivize engagement through a gamified ecosystem, allowing Actiq to reward progress, promote community contributions, and enhance long-term retention without oversaturating rewards.

# Are there any MM onboarded?

Yes, Hummingbot + Margin.io

# What launchpad have you talked to and how is the token launch plan?

Kommunitas, Spores, BSCS, KGD, Ordify, Bullperks, RedKite, Poolz, Decubate will raise $1M at IDO round. Listing starts in early December on MEXC and GATE.

# What CEX have you talked to and how is the listing plan?

Gate, HTX, Crypto.com + various T2 exchanges

# Have the smart contract been audited? please share the reports if available

$ACTI Smart Contract audit by Coinsult

# What is the round you are raising now? how much is the valuation? how is the vesting terms?

  • KOL/SAFT round: $150K, price $0.04 (Cliff 5m, Vesting 12m, TGE unlock 20%)
  • Private (VC) round: $500K, price $0.05 (Cliff 5m, Vesting 18m, TGE unlock 15%)
  • IDO (Public) round: $1M, price $0.07 (Cliff 3m, Vesting 12m, TGE unlock 25%)

# Can you provide more details about previous round, including specific investor commitments and terms?

Token raise, SAFT/KOL round:

  • IBC Group - $100K (hard commit)
  • Dmitry Gavrilov, Angel - $45K (hard commit)
  • SPRS Research - $20K (hard commit)
  • KOLs group - $37,5K (hard commit)

# What are the critical milestones for the next 12 months? Will there be new feature releases, partnerships, or geographic expansions?

  1. Q4,2024

Development

  • Preparing for Sport Knowledge LLM and Vision Transformer 1000x training program.
  • Moving from CNN to VIT (based on Meta Sapience)
  • Moving from VoxelGPT to Llama
  • Create wizard app for ViT training
  • Fine-tuning ViT to recognize the tiniest details of 60 fps sport videos, allowing better recognition of fine motor skills and registering deviations in exercise technique.
  • Optimizing ViT to spend fewer resources for training and processing video data (inference, on the phones).
  • Modifying D.R.O.C (Dynamic Real-time Objective Correction) model, which allows LLM to make real-time judgments on the quality of exercise performance and correct the athlete's technique. D.R.O.C will instantly detect errors or incorrect movements and gives the user feedback, helping them improve their technique without the need for repeated workout reviews or consultations with a coach. That will work as a part of special RAG over Llama.
  • Storage, Oracle and Bridge (ICP-BNB) and token vault on ICP.
  • Releasing DAO on ICP, storing models on ICP
  • Run Incentive smart contract on SKALE
  • Upgrade Actiq Wallet backend (CDN and new faster Database)
  • Implement AI based Strava anti-cheat (allows to recognize data coming from Strava and prevent incentivize accounts where data is corrupted).

Product

  • Custdev + celebrity coaches collaboration: (recruit 200 athletes to help us to train our AI engine during custdev campaign to validate product and market fit + 10 coaches as ambassadors).
  • AI by AI program: create Sport Knowledge LLM training app for athletes and coaches to train AI and be incentivized with $ACTI (alpha version of Actiq app) – running when token will be listed.
  • Run $ACTICAT – meme coin to promote first AIGC character (https://acticat.xyz ) + ACTI airdrop to $ACTICAT investors.
  • Create Beta app frond-end release
  • Create web3 dashboard mockups
  • New website (https://actiq.ai)
  • New video guides (how Actiq works)

Marketing

  • $ACTICAT meme campaign to boost crypto community + ACTI airdrop to meme holders and vice-versa.
  • Sport Ambassador campaign to boost sport community (10 celebrity coaches, TBA).
  • PR campaign (Forbes, Bloomberg Crypto, Coin Telegraph, Sport Media, VentureBeat, KOLs);
  • Announcing partnerships: SKALE + ICP
  1. Q1,2025
  • Listing: Bybit, Gate, HTX + Tier2
  • Target token price: $0.07=> $0.7 (x10 token growth in 1st quarter of 2025 by good newsfeed, new partnership, active token buyback and MM)

Development

  • Building/testing/publishing native apps for Android and Apple
  • Building web3 dashboard and marketplace
  • Continue working on ViT, Sport Knowledge LLM (optimizing general inference, performance, latency, AIGC visual generation model)

Product

  • Actiq app beta release (tennis + golf + special in-app training program for paddle)
  • 100K sponsored installs and app subscription via Actiq Wallet
  • Actiq Sport Marketplace release (pay $ACTI for sport goods)
  • Web3 panel release (billing, integration, user accounts)

Marketing

  • New sport related meme campaigns to boost crypto community + ACTI airdrop to meme holders and vice-versa.
  • Sport KOLs launch.
  • Traders incentivizing campaign.
  • Launching compliant $ACTI token for US market with Coinbase
  1. Q2-Q4,2025
  • New sport models
  • Milestone: 50K 1Y subscription based installs
  • Reaching $50-80M company valuation
  • Starting Celebrity Coaches Partnership program
  • Running SEED venture round ($15M investment target)

# What's contract address of $ACTI Incentive Token

$ACTI on BNB chain Smart Contract

# What is the upside of the token? Why do people want to buy and hold $ACTI instead of buying low and selling high?

When we mentioned abstract "people" we need to differentiate who they are. There's no significant value to hold for crypto traders at the market except early BTC holders at the monent. Nobody's hold any altcoins in long-term. All values of $ACTI are primarily for Actiq app users. It allows:

  • Exclusive access to Premium Features and Training Content in Actiq app
  • Buy sport items/phygital goods at Actiq Sport Marketplace
  • Governance and Influence in the Actiq Ecosystem
  • Staking Rewards and Tiered Loyalty Benefits

# Team details

  • Michael Aprossine - LinkedIn, Twitter. CEO. Thriathlon Fan. Serial Entrepreneur from early 2000; 20+ years in IT consulting and product development in IoT, SaaS, Mobility и Blockchain; Cofounder of Apla.network (Luxembourg) Cofounder of DrivePoint (sold to Hyundai Mobility in 2019).
  • Phil Khomenok - LinkedIn, COO, Experienced Swimmer. Builds online sales of cable products and rolled metal from scratch for $10M per year. In 2017, he was a co-founder of the Grown Capital investment fund with attracted capital of $5M. In 2020-2023, in the role of CBDO, he helped Advcash in developing new products and entering new geographies.
  • Ankit Sahu - LinkedIn, CFO, Experienced Tennis Player. 20+ years in wealth management across private banking and funds, including: Prosperity Group, Bank Of America, Merrill Lynch and UBS.
  • Mike Keer - LinkedIn, CTO, AI Architect. Expert in language models and computer vision. Participant in joint projects with Lux Innovation, EIC and others.
  • Sergey Koskov - Product Manager. Athlete.
  • Iskander Khakimov - FullStack, Front-End. Triathlete.
  • Vit Znak - FullStack, Back-End. Athlete.
  • +3 people (Data scientists/testing). 10 ppl in total

# How will Actiq ensure a smooth transition from Telegram Wallet to the full app experience? Are there specific timelines or user testing stages planned for this?

The Telegram wallet will remain one of the channels for acquiring new users in the EMEA region. In the US, we will use a different approach. Wallet functionality will be extended with many web3 functions (similar to Web3 Dashboard) when the mobile app is released in Q1 2025. In order to sponsor the first bunch of app installations, we plan to run an early app onboarding campaign in Actiq Wallet.

# Are there plans to expand the range of sports or introduce advanced coaching features? If so, are there specific sports or features the team is targeting?

Actiq has step by step plans to expand the range of sports supported on its platform and introduce advanced coaching features. We start with a most popular sports in the markets (tennis and golf) and expands with one's which is most significant for specific markets we target, such us cricket for India.

Expansion of Supported Sports:

  • Endurance Sports. Actiq plans to introduce more tailored features for endurance-based sports like running, cycling, and swimming. These features may include metrics for pace, cadence, heart rate zones, and recovery tracking to help athletes improve endurance and manage training loads effectively.
  • Strength and Power Sports. For users in strength sports like weightlifting, CrossFit, and bodybuilding, Actiq aims to add specialized coaching on form, power output, and muscle engagement. Vision transformers will be leveraged to monitor and correct form in real-time, ensuring safe and effective strength training.
  • Skill-Based Sports. Sports with high skill requirements, such as tennis, martial arts, and basketball, are also on Actiq’s radar. Features like real-time swing analysis for tennis, punch/kick tracking for martial arts, and shooting technique for basketball would provide sport-specific guidance to help athletes refine techniques.

Advanced Coaching Features in Development

  • Real-Time Form and Technique Correction. Actiq is working on refining its AI to provide even more granular, sport-specific feedback. For example, in tennis, the AI might analyze grip, swing arc, and foot placement. In weightlifting, it could monitor joint angles and movement speed to prevent injuries and optimize performance.
  • Biomechanics and Motion Analysis. Advanced motion analysis features are in development, which will break down complex movements into individual components, such as knee alignment, hip rotation, and shoulder stability. This level of detail helps athletes in sports like golf, gymnastics, or sprinting improve their form and efficiency.
  • Dynamic Goal-Setting and Progression Tracking. Future updates will include adaptive goal-setting that adjusts based on the user’s recent performance and fatigue levels, providing personalized recommendations to avoid overtraining and encourage gradual progression.
  • Enhanced Recovery Metrics. Actiq plans to incorporate more in-depth recovery tracking, including metrics such as heart rate variability (HRV), sleep analysis, and stress monitoring. These insights help athletes optimize training cycles and reduce injury risk, especially for sports with high physical demands.