Turing M Business Plan

• Date: August 20, 2025
• Contact: vc@turingm.io
• Confidentiality Statement: This document contains confidential information and is intended solely for the designated recipient.

Project Overview

Prediction Markets are financial instruments that leverage collective intelligence to forecast the outcomes of future events. Participants express their expectations on political, economic, sports, and technological events by trading event outcome contracts, where prices reflect probabilities. With the advancement of blockchain and Web3 technologies, the prediction market industry demonstrates strong growth potential in 2025, with a projected compound annual growth rate (CAGR) exceeding 30% from 2025 to 2030.

Turing M is a leading Web3 event-driven financial ecosystem designed to redefine the global event trading market through AI-powered data collection technology and a multi-chain architecture. It empowers users to participate in forecasting and trading across diverse fields such as finance, climate, and technology.

By integrating decentralized governance (DAO), a deflationary economic model (TUIT token), and cross-chain technology, Turing M has built a transparent, fair, and efficient equity-token trading platform, providing opportunities for value co-creation for both users and institutions.

Industry Analysis

Prediction Markets are platforms that allow users to "buy shares" to bet on the outcomes of future events. They combine finance, game theory, and collective intelligence, and are often regarded as an alternative data prediction tool. The prediction market industry is highly attractive due to its potential in information aggregation and trend discovery, with blockchain technology adding a new dimension to its development.

According to Statista, the global predictive analytics market (including technologies related to prediction markets) was valued at approximately USD 18 billion in 2023 and is projected to reach USD 91 billion by 2032, with a compound annual growth rate (CAGR) of around 22.5%. Delphi Digital, in its 2024 report, pointed out that the share of on-chain prediction markets in DeFi’s total value locked (TVL) is expected to rise from the current less than 1% to 5%–10% by 2030.

With Polymarket’s compliance achieved in July 2025, prediction markets are expected to enter a new phase of rapid growth, with the market size projected to reach USD 5–8 billion by 2030. Crypto-native prediction markets could potentially surge to USD 10–20 billion due to high volatility. Particularly in the Asia-Pacific region, Southeast Asia’s digital consumer base is expected to reach 310 million people. Based on prediction market user demographics, about 20% fall into the potential user group, equating to roughly 60 million users. Assuming an average annual investment of USD 1,000 per person, the potential market could be as large as USD 60 billion. By 2025, the Southeast Asian esports market is expected to exceed 50 million active users, with an overall market size of about USD 1.4 billion. Prediction market transaction volumes are estimated to account for 10%–15% of this, or roughly USD 140–210 million.

Real Money Bets

The West has grown tired of so-called “polls,” which are often just empty talk and polite rhetoric.

For a long time, prediction markets have been dismissed as mere gambling platforms. In essence, however, prediction markets are economic engines that aggregate beliefs into probabilities, transforming collective conviction into signals that outperform opinion polls.

Users don’t need to read the news; they can simply bet on its outcome. Information is no longer just a news channel—it becomes tradable. This is more than speculation. It is the new marketplace of the internet, where predictive capital turns into effective capital.

Prediction markets convert collective intuition into sharp forecasts, far more valuable than opinion polls (empty talk):

• Predictive Power: Prediction markets consistently outperform opinion polls. In 2024, while the media hesitated, these platforms had already forecast the result of the U.S. election. Historically, from 1889 to 1940, U.S. election markets achieved 100% accuracy on election day; polls have never matched that.
• Wisdom of the Crowd: This isn’t magic—it’s mathematics. In 1907, 800 visitors guessed the weight of an ox; their average guess (1,197 pounds) was just one pound off from the actual 1,198 pounds. Diverse guesses cancel out bias and converge on truth. Polls sample opinions; markets aggregate actions.
• A Game Wrapped in Finance: Cash sharpens the signal. Bettors don’t just voice opinions—they stake money. This aligns incentives with accuracy. Studies show markets are 1.5–2 times more accurate than polls in election forecasting. When money is on the line, people think harder than when they’re just talking.
• Real-Time Adjustment: Markets react instantly to new information—like Joe Namath’s famous 1969 Super Bowl guarantee that swayed bets toward the winning Jets. Polls, on the other hand, lag behind, stuck in static snapshots.
• Probability, Not Hype: Prices (e.g., $0.64 = 64% chance) are capped at $1. Unlike stocks, this resists bubbles. It limits speculation and grounds forecasts in reality.

The crowd distills chaos into clarity; money turns guesses into precision. Ignore it, and you’re betting against collective wisdom. The crowd doesn’t just speculate—they invest. That’s why markets don’t just predict the future. They define it.

Competitive Analysis

Polymarket

In July 2025, Polymarket announced the acquisition of licensed exchange QCEX for USD 112 million. Through this acquisition, it indirectly obtained a CFTC-approved license to operate in the United States, establishing a legal foundation for its prediction market contracts. With the ecological shift in prediction markets—compliance-driven prediction markets + gamified finance—a new trillion-dollar era is being unlocked.

As the world’s largest decentralized prediction market, built on the Polygon blockchain, Polymarket primarily focuses on political events (e.g., USD 3.3 billion trading volume during the 2024 U.S. election) and crypto price predictions. In June 2025, Polymarket raised approximately USD 200 million, reaching a valuation of USD 1 billion.

• Differentiation: High trading volume (monthly average of about USD 1 billion in 2025, with over 1 million users), partnership with X platform, and endorsement from statistician Nate Silver, which strengthens the platform’s credibility.
• Pros: First-mover advantage, strong brand influence, and dominant position in election markets.
• Cons: Relies on organic growth, with no expansion into the Asia-Pacific region and no dedicated topics for Southeast Asia.

Kalshi

The only U.S. prediction market fully regulated by the CFTC, Kalshi specializes in sports, politics, and other sectors, and is integrated with platforms such as Robinhood and Webull. In June 2025, Kalshi raised USD 185 million, reaching a valuation of USD 2 billion.

• Differentiation: Fully compliant (CFTC approval in 2020, supports U.S. users, accepts BTC/SOL deposits). In May 2025, the CFTC dropped its appeal, further expanding the scope of event contracts (including elections and sports).
• Pros: Regulatory advantage, institutional trust (with Donald Trump Jr. serving as an advisor), high valuation, and integration with mainstream platforms covering over 200 million retail traders.
• Cons: Centralized structure lacks Web3 transparency, relatively weak technological innovation (e.g., reliance on KYC and market approval), and a significant drop in active users post-election (from a peak of 400,000 down to around 30,000).

Turing M

Turing M is an emerging Web3 event-driven financial platform built on a multi-chain architecture, supporting cross-chain participation and integrating AI-driven technology to establish a comprehensive equity-token ecosystem, ensuring shared growth between the project and its users.

Pros:

• Token Ecosystem: Platform fees are redistributed to the market. Users holding TUIT tokens can participate in equity incentives (daily USDT dividends). With a deflationary model (30% used for buyback and burn), it incentivizes long-term holding and drives token price appreciation.
• Mobile-First Approach:
  • Prioritizes mobile user experience with a focus on user reach, activation, and retention. Designed with extremely low entry barriers for new users. The team can rapidly iterate and launch products tied to trending social media events, creating viral growth through highly relevant traffic-driven topics and exclusive viral mechanics.
  • Telegram Version: Leverages Telegram’s 800M+ user base to offer low-threshold mobile participation. Multilingual support covers emerging markets (Asia and Latin America, which account for 40% of global users).
  • Line Version: Built on Line’s 100M+ user base, offering low-threshold mobile participation with multilingual support for Southeast Asian markets (Japan, Korea, Taiwan, Thailand, etc.).
• Localized User Experience: Focused expansion in Asian markets with customized topic curation to enhance user stickiness.
• Industry Entry Points: Targets highly interactive sectors (e.g., esports, sports events). Through prediction, betting, and community features, it transforms passive viewers into active participants, boosting immersion and loyalty.
• Leverage Trading Innovation: Unlike Polymarket’s simple betting model, introduces leverage functionality, positioning itself as an “advanced event-driven financial platform.” Users can amplify returns on highly uncertain events (such as political elections, sports competitions, and crypto volatility), filling a gap in the market.

Cons:

As a new platform, its user base and brand recognition are relatively limited. Compliance and regulation remain underdeveloped, requiring reliance on differentiated features and precise marketing strategies (such as airdrops and KOL promotion) to build competitive advantages.

Summary & Comparison Turing M’s advantages lie in its AI-driven predictions, multi-chain architecture, leverage trading, mobile-first viral marketing, DAO governance, and TUIT ecosystem. Combined with its global strategy and diversified market approach (particularly in Asia-Pacific), it has the potential to challenge Polymarket (first-mover and decentralization advantage) and Kalshi (compliance and U.S. market advantage). In its early stage, Turing M plans to rapidly acquire users through airdrops (60–80M TUIT) and KOL promotion. Its long-term goal is to capture 5–10% of the USD 10–20 billion prediction market, becoming a major player in the Web3 prediction industry.

Competitive Comparison Table (Based on 2025 Data):

Team Introduction

The Turing M team is composed of seasoned experts in blockchain, finance, AI, system architecture, and marketing. Leveraging cross-industry experience, the team provides strong support for development, operations, and global expansion. The team size is approximately 60–80 members, with core expertise spanning technology, finance, and marketing, ensuring end-to-end execution from architecture design to user growth. Below are the core members:

Core Founder / Initial Team Leader

A veteran in the futures market, with early success in futures trading and outstanding performance (annualized returns exceeding 20%). Designed multiple financial trading systems highly praised by users worldwide. As a blockchain investor with 10+ years of experience, founded a private equity fund and achieved significant success. Possesses exceptional strategic vision and resource integration skills, responsible for overall project direction, fundraising, and ecosystem partnerships.

System Architect

Expert in distributed systems and blockchain architecture design, with 8+ years of experience in technology R&D and architecture. Responsible for building the multi-chain infrastructure of Turing Market, ensuring efficiency (TPS > 1000), stability (99.99% uptime), and scalability to support global cross-chain transactions.

Financial System Designer

Formerly with the head office of Agricultural Bank of China, specialized in forex settlement system development, with 12+ years of fintech experience. Provides professional support in trading mechanism optimization (such as leverage and settlement logic) and compliance framework design, enabling the platform to meet international regulatory standards (such as CFTC and Asian financial regulations).

Blockchain Technology Expert (Contract Architecture Design)

Multiple hackathon award winner, skilled in smart contract development and blockchain optimization. Leads the technical implementation of Turing Market and the mobile-first version, ensuring contract security (verified by third-party audits) and cross-chain compatibility, while enhancing decentralized governance.

AI Technology Expert

Specialized in AI Agents and large language models (LLMs, e.g., Grok). Provides core technical support for Turing AI, including trend detection, topic capture, and data analysis (integrating X community sentiment and on-chain metrics), driving innovation in event-driven financial derivatives.

Marketing Team

With 10+ years of marketing experience, adept at brand building and community management. Responsible for Turing M’s market promotion, KOL partnerships, and user growth strategies, with a strong focus on emerging markets.

The Turing M team brings together top talent in blockchain, AI, finance, system architecture, and marketing, possessing comprehensive capabilities from technical development to market operations. Their cross-disciplinary experience ensures efficient project execution.

Business Model

Core Components and Architecture

The Turing M ecosystem is built around one core product and three enabling cores: Turing Market, Turing AI, Turing Token, and TuringDAO. Users interact with centralized and decentralized exchanges through these four pillars, creating a self-sustaining loop that drives the Turing M ecosystem’s healthy growth.

Four Pillars

• Turing Market: The event-driven financial derivatives exchange within the Turing M ecosystem.
• Turing Token: The sole equity-token medium that provides value empowerment for the ecosystem.
• Turing AI: An AI-powered platform that delivers semi-automated topic discovery and dynamic accuracy analysis for Turing Market.
• TuringDAO: Provides proposals, governance, and decision-making support to enable decentralized co-creation (DAO + UGC) autonomy.

Turing Market

An event-driven financial exchange supporting predictions and trading across finance, climate, technology, politics, sports, and entertainment. Users can create, participate in, and manage events to achieve wealth growth. It interacts with other cores: relying on Turing AI for data analytics, TUIT as the value medium, and TuringDAO for governance support.

Trading Mechanism: Users purchase event contracts with cryptocurrency (multi-chain USDT supported). Contract prices fluctuate between USD 0–1, reflecting the probability of an event occurring. Correct predictions settle at USD 1, while incorrect ones drop to zero, offering direct and intuitive returns. Supports mutually exclusive markets and multi-choice questions, with AI + DAO strategies enhancing prediction accuracy.

Turing AI Agent

Turing AI is the intelligent core of the Turing ecosystem, designed to build the world’s first “Symbiotic Intelligence Ecosystem.” By deeply integrating human collective intelligence from prediction markets with cutting-edge AI analytical capabilities, it creates a self-evolving engine that continuously enhances predictive accuracy.

Core Features

• AI Prediction Flywheel: A self-reinforcing intelligent engine.
• Trend Analysis Engine: Real-time multidimensional sentiment analysis and narrative evolution detection.
• Smart Agent Marketing System: Autonomous identification of high-value social media interaction opportunities.
• Prediction Accuracy Verification: Multi-source data cross-validation and continuous learning.

Technical Advantages

• Proprietary Data Advantage: exponentially growing, high-fidelity datasets
• Bilateral Network Effects: strong synergy between the market and AI
• Specialized Architecture: a technology framework built from the ground up for predictive intelligence

Application Scenarios

• Attention economy forecasting.
• SocialFi and fan economy analysis
• Dynamic opinion markets.
• Live-streaming economy and Web3 entertainment.

By systematically capturing, modeling, and learning large-scale human predictive logic, Turing AI aims to provide foundational intelligence infrastructure to navigate a highly complex and fast-evolving interconnected world.

Turing Token (TUIT)

TUIT is the sole equity-token medium of Turing M, operating under a deflationary economic model for trading, incentives, and governance. TUIT facilitates value circulation, interacts with Turing Market trading activities, and supports mechanisms such as staking and buybacks to achieve long-term value appreciation.

Turing DAO

The mission of Turing DAO is to transcend the speculative nature of traditional prediction markets, elevating them into a system capable of creating real value and guiding social progress. We believe that when prediction markets are properly designed and governed, they can become powerful tools for aggregating collective intelligence, discovering truth, and directing resources toward the most valuable outcomes.

Three Innovative Pillars

• Fair Governance: Employs an innovative Weighted Quadratic Voting (WQV) mechanism to counterbalance the dominance of capital whales, enabling more democratic decision-making.
• Intelligent Market: Powered by the proprietary Turing AI engine, providing exceptional capabilities in market creation, data analysis, and forecasting.
• Integrity & Truth: Establishes a robust multi-layer oracle and arbitration protocol to resist manipulation and attacks.

Core Advantages

• Decentralized Identity Verification: Prevents Sybil attacks and ensures one person, one vote.
• AI-Enhanced Decision-Making: Combines artificial intelligence with human expert judgment.
• Transparent Arbitration Mechanism: Builds a trustworthy on-chain jurisprudence system.
• SocialFi Economic Model: Converts user interactions into economic value.

Turing DAO is not merely a superior prediction market platform—it is a microcosm of a more rational and fair world. In this world:

• Collective intelligence can be harnessed ethically and effectively.
• Resource allocation is based on evidence and contribution, not power and capital.
• Communities are empowered to guide themselves toward a more prosperous future.

Turing DAO represents critical public infrastructure designed for the digital age.

Revenue Sources & Distribution

Turing M employs a diversified revenue model designed to balance user incentives with ecosystem sustainability. Major revenue streams include transaction fees, settlement fees, data services, and token economy yields.

• Transaction Fees: A 0.5% fee is charged per one-sided event trade (1% for two-sided trades). For example, a USD 10,000 trade generates USD 50 (USD 100 for two-sided). When paid in TUIT, the fees are burned, accelerating deflation. Distribution: 40% into TUIT/USDT liquidity pool, 30% buyback and burn, 20% staking dividends, 10% risk reserve.
• Settlement Fees: After event outcomes are announced, successful predictors pay a 2% settlement fee, which funds platform operations and technical upgrades. Distribution: 50% into TUIT/USDT liquidity pool, 50% buyback and burn.
• Data Analysis & API Services: Turing AI provides market insights (e.g., X sentiment analysis, on-chain data) and delivers institutional support via API, expected to account for 20% of revenue. Distribution: 20% into TUIT/USDT liquidity pool, 80% buyback and burn.
• Token Economy Yields: Includes TUIT staking dividends, TUIT staking interest (10%-18% annualized), and commission rebates, incentivizing promotion and long-term holding.
• Revenue Allocation: 60% allocated to market expansion (rebates, KOL incentives). 40% directed to token value growth, enhancing TUIT’s long-term economic value.
• Token Value Mechanism: TUIT achieves deflation through buyback and burn (30% of transaction fees) and liquidity pools (40%). Token holding dividends also appreciate in value, reflecting platform growth—for instance, with USD 10 billion in transaction volume, TUIT price could rise to USD 1.

Project Status & Roadmap

Project Milestones

Turing M, as a Web3 event-driven financial ecosystem, has made significant progress since its launch in 2024. As of August 2025, multiple key milestones have been completed, and the project is in the pre-launch preparation phase. Below is a detailed overview of project progress, completed tasks, current status, and future plans.

Completed Milestones The project has advanced efficiently from inception to the testing phase. Key achievements by timeline:

• March 2024 – Project Initiation Official project launch and formation of the core team, including blockchain investors, system architects, financial experts, blockchain technology specialists, AI experts, and marketing professionals. Early focus on proof-of-concept and iterative architecture optimization, laying the foundation for AI-driven prediction, multi-chain architecture, and TUIT token model.
• March 2025 – Overseas Company Formation Establishment of overseas entities (UK, Marshall Islands, Singapore, Hong Kong) and MSB (Money Services Business) registration/application in the U.S.
  • MSB Key Regulatory Requirements:
    • Registration: All MSB operators must register with FinCEN via Form 107.
    • Compliance: Adherence to anti-money laundering (AML) regulations, establishing internal controls, AML policies, KYC, and suspicious activity reporting.
    • Reporting: Regular submission of large transaction reports (CTR) and suspicious activity reports (SAR).
    • State-Level Oversight: Additional state-specific licensing, registration, or reporting may apply.
• April 2025 – Turing M Official Website Launch The website provides project overview, team introduction, and preliminary whitepaper. Serving as the user entry point, it targets emerging markets in Asia and Latin America, marking the shift from internal development to external outreach and early community engagement.
• May 2025 – Turing Market Testnet Launch Testnet version launched, supporting core event prediction trading functionalities, including multi-chain USDT support, 0–1 USD contract pricing, and AI topic discovery. User feedback was collected to optimize cross-chain participation and DAO governance modules, ensuring platform stability and user experience.
• July 2025 – Smart Contract Audit Completion Third-party audit completed for Turing Market and TUIT token smart contracts. No critical vulnerabilities were found, enhancing project compliance and investor confidence.
• August 2025 – TUIT Token Pre-Sale TUIT, the platform equity token, entered the pre-sale phase, offering early seed users discounts and benefits.

The project has entered testnet optimization and pre-launch stages. Testnet data shows stable trading mechanisms, successful AI Agent identification of high-potential event topics, and positive user feedback. The team has initiated small-scale airdrops (60–80M TUIT) and community/KOL collaborations to accumulate early users.

Ecosystem Partnership Progress

• Technical Partners: Established collaborations with leading blockchain companies such as Ava Labs, Reown, Privy, Infura, SlowMist, and QuiltAudit, providing foundational technical support for the platform.
• Exchange Partnership Intentions: Preliminary discussions initiated with multiple top-tier exchanges, including:
  • Tier 1 Exchanges: Binance, Gate.io, Bybit, etc.
  • Professional Trading Platforms: HTX, MEXC, etc.
• TUIT Token Listing: Expected to be supported by mainstream exchanges upon listing, enhancing liquidity and accessibility.

Current Status & Transition Progress

• Pre-Launch Preparation: Optimized account opening process for better user experience; multi-chain infrastructure under stress testing; initial AI trend analysis model built, tested using X community sentiment and on-chain data.
• Market & Community Building: Established overseas English and Chinese communities, formed community administrators and marketing teams, linked with KOLs. Marketing team has launched online pre-heating activities. Low-barrier participation and regional topic curation (e.g., Asian esports market) are supported.

Overall Progress: Over 80% complete. Main risks include regulatory uncertainty and user acquisition, partially mitigated by DAO governance and the deflationary model.

Future Roadmap (Sep 2025 – Sep 2026)

• Sep–Oct 2025: Turing Market Mainnet Launch Full cross-chain version released, supporting event trading across finance, sports, and competitive gaming. Preparations made for the 2026 World Cup surge.
• Dec 2025: TUIT Official TGE (DEX/CEX) TUIT officially circulates as the platform’s equity token on DEX/CEX, supporting staking, buyback & burn, and governance. Initial deflationary mechanisms activated, providing liquidity and laying the foundation for user incentives and ecosystem growth.
• Feb 2026 Telegram Version & Leverage Trading Integration`
• Jun 2026: Gradual Compliance Advancement Compliance consulting and adjustments for U.S. CFTC and Asian regulatory environments to reduce potential risks.

Overall, Turing M has made steady progress, transitioning from concept to mature product stage. Upon official launch, it is expected to rapidly capture opportunities in the Web3 prediction market.

Project Financial Planning Overview

Following the project launch, Turing M will execute core tasks including operations management, technology R&D, marketing, AI support, and token value management. The budget emphasizes a balance between growth and sustainability, with a total cost of USD 12 million.

The strategy focuses on AI-driven innovation and user conversion—transforming passive audiences into active participants—with a target of 830,000 active users (daily trading volume ≥ 500 USDT or fees ≥ 10 USDT). Leveraging AI data analysis, the project targets niche markets precisely, such as the Southeast Asia esports market in 2025 (over 50 million users, market size approx. USD 639 million, with prediction trading expected to account for 10%-15%, i.e., USD 64–96 million).

Operations Management (Budget: USD 2 million)

Covers overseas office facilities, administrative operations, financial compliance, and professional services. To support global expansion, multiple regional offices are maintained, with travel, facilities, and compliance consulting as major cost items. Ensures platform regulatory compliance (e.g., CFTC standards) and reduces regulatory risk.

Technology R&D (Budget: USD 3 million)

R&D is the engine of continuous innovation, integrating predictive AI, quantum computing trends, and DeFi mechanisms to support tech-event derivatives and drive platform evolution. In 2025, technology trend analysis (e.g., McKinsey Technology Trend Outlook 2025, highlighting autonomous systems and new human-machine collaboration models) will be deeply embedded into the platform to guide R&D decisions, promote AI exploration, and iteratively upgrade product features.

User-oriented priorities include:

• Optimizing User Experience: Telegram mobile version with low entry barrier for event prediction and trading.
• App Launch: Compatible with Android/iOS and multi-chain USDT integration.
• Personalized Trading: Industry-specific pages (finance, sports), allowing users to initiate topic markets; private traffic converts audiences to loyal users. Initial focus on finance/sports, expanding later.
• Regional Customization: Topic curation for Asia-Pacific markets (e.g., esports, sports, politics).
• New Functionalities:
• Leverage Trading: Users borrow funds to amplify trades (daily fee applied) and increase potential returns.
• AI-Agent Market Making Tools: Dedicated accounts bound to AI to enhance liquidity.
• AI Trend Analysis Engine & Reports: Models built using platform/external data (e.g., X sentiment, on-chain metrics), calibrated to provide accurate (>85%) reports to users.
• Operational Support: Upgrade AI algorithms, servers, and computing power alongside growth to ensure scalability.
• Security: Continuous vulnerability scanning and patching to prevent attacks.

Marketing (Budget: USD 2 million cash + 60 million TUIT)

Integrated online and offline strategy targeting 830,000 users (see Turing M Marketing Strategy Version). In 2025, Web3 user acquisition cost (CAC) is estimated at USD 2–5 per user, with ROI monitored and optimized.

• Online Activities: Two phases:30 million TUIT to attract 330,000 users; 30 million TUIT to attract 500,000 users Strategies: Airdrops, KOL collaborations, and trending topic generation, with focus on Asian esports markets.
• Offline Activities: Salons/Events: USD 50,000 Trade Shows: USD 100,000 Media/KOL Promotions: Total USD 2 million

Objective: Increase brand exposure and convert offline traffic to platform users.

Token Value Management (Budget: USD 5 million)

Over 60 million TUIT allocated for user incentives. Fees are used for buyback and burn to stabilize token value. This reserve acts as a buffer to ensure the TUIT deflationary model operates effectively, mitigating market volatility.

Financial Projection (2026–2029)

Costs

Based on the previously outlined plans, the cost for 2026 (Sep 2025 – Sep 2026) includes:

Table 1 – Unit: 1 million USD

Revenue

Table 2 – Unit: USD

Daily Active Conversion Rate (if achieved): 5%, Annual Revenue USD 80 million+

Investment Highlights Summary

1. Outstanding Market Opportunity

• Blue Ocean Advantage: Prediction markets are on the verge of rapid expansion, with global market size expected to grow from USD 18 billion to USD 91 billion (2023–2032, CAGR 22.5%).
• DeFi Growth Potential: On-chain prediction markets’ share of DeFi TVL could increase from <1% currently to 5–10% by 2030, implying a USD 6–12 billion market opportunity.
• Emerging Market Opportunities: Focus on the Asian esports market (50 million users, USD 639 million size), with prediction trading potential of USD 64–96 million.

2. Strong Technological Moat

• Proprietary AI Agent technology: Identifies trending topics and high-potential events automatically, reducing operational costs.
• EIP-2535 Diamond Architecture: Industry-leading Diamond pattern enables high modularity and seamless upgrades, creating a high technical barrier difficult for competitors to replicate.
• Enterprise-Level Security Architecture:
  • QuiltAudit Certification: Over 200 test cases validated.
  • Multi-Layer Security: RBAC access control, reentrancy attack prevention, EIP-712 signature verification.
  • Emergency Pause Mechanism & Tiered Asset Withdrawal Safeguard
  • Modular Storage Design: Prevents storage conflicts and unauthorized access.
• Patent-Level Technical Implementation:
  • Unique conditional ERC1155 NFT and ERC20 atomic swap mechanism.
  • EIP-2535 advanced smart contract architecture
  • Linear token release and staking governance algorithms.
  • Cross-chain compatible order matching engine.
• Technical Ecosystem Partners:
  • Ava Labs: Avalanche ecosystem technical support, providing underlying infrastructure for multi-chain architecture.
  • Reown: Web3 wallet solutions for simplified user interactions.
  • Privy: Identity verification and authorization solutions ensuring user privacy.
  • Infura: Ethereum node services for stable platform operation.
  • SlowMist: AML database services ensuring financial compliance and security.
  • QuiltAudit: Smart contract auditing services ensuring platform security.

3.Clear Business Model

• Diversified Revenue Streams: Trading fees (1%) + settlement fees (2%) + token appreciation; mature revenue model.
• Deflationary Economic Model: 30% of TUIT tokens for buyback and burn, 40% injected into liquidity pools, incentivizing long-term holding.
• Economies of Scale: With trading volume reaching USD 10 billion, token price expected to rise to USD 1, providing substantial investment returns.

4. Strong Team Capability

• Professional Expertise: Core team with backgrounds in futures trading (annualized return >20%), fintech (12 years in banking systems), and blockchain development.
• Technical Strength: Multiple hackathon awards; AI experts with GPT-4 variant development experience.
• Ecosystem Partnership Resources: Collaborations with Ava Labs, viem.sh, wagmi.sh, and other technical partners.
• Exchange Network Advantages: Preliminary cooperation intentions with Binance, Gate.io, Bybit, HTX, MEXC, etc.
• Global Vision: 10 years of marketing experience and international operational capabilities.

5. Clear Competitive Advantages

• Versus Polymarket: AI technology + leverage trading + copy trading + DAO governance; more comprehensive functionalities.
• Versus Kalshi: Decentralized architecture avoids centralization risks, offering stronger Web3 transparency.
• Differentiated Positioning: Telegram version reaches 800 million users, low entry barrier, addressing a large market gap.
• Ecosystem Resource Advantage: Support from technical partners (e.g., Ava Labs) + mainstream exchange cooperation intentions, providing users with robust infrastructure and liquidity.

6. Financial Performance Expectations

• User Growth Target: 830,000 active users by 2026, with customer acquisition cost USD 2–5 per user.
• Revenue Forecast: USD 80 million target revenue in 2026, with significant growth potential.
• Market Share Target: Capture 5–10% of the USD 10–20 billion prediction market.

7. Excellent Investment Timing

• Industry Inflection Point: Acceleration of prediction market compliance in 2025, securing first-mover advantage.
• Valuation Advantage: USD 20 million valuation compared with competitors (Polymarket USD 1 billion, Kalshi USD 2 billion), offering significant discount.
• Clear Exit Path: Potential IPO or acquisition, expected investment exit within 3–5 years.

Risk Analysis and Mitigation Strategies

1. Technology Risk Management

Smart Contract Security Risk

• Risk Description: Smart contracts may contain code vulnerabilities or be targeted by hackers.
• Mitigation Strategies:
  • Professional audit by QuiltAudit, obtaining security certification.
  • Over 200 test cases fully covering contract logic to ensure code quality.
  • Multi-layer security: RBAC access control, reentrancy attack prevention, EIP-712 signature verification.
  • Emergency pause mechanism to immediately halt contract operation upon detecting issues.
  • Regular security code reviews and vulnerability scans.

System Architecture Risk

• Risk Description: Complex Diamond architecture may face upgrade or compatibility issues.
• Mitigation Strategies:
  • Adoption of the mature EIP-2535 standard, industry-validated.
  • Modular design ensures single module failures do not affect the entire system.
  • Comprehensive test environments and rollback mechanisms.
  • Gradual upgrade strategy to maintain system stability.

2. Market Risk Management

Regulatory Policy Risk

• Risk Description: Changes in national regulations may impact business operations.
• Mitigation Strategies:
  • Team with extensive financial compliance experience (12 years in banking systems).
  • Proactive engagement with CFTC and Asian regulatory agencies for early compliance planning.
  • Distributed operations across multiple regions to reduce single-jurisdiction risk.
  • Hiring professional legal advisory teams to monitor policy changes in real-time.

Competition Intensification Risk

• Risk Description: Entry of large institutions may increase market competition.
• Mitigation Strategies:
  • High technical barriers (Diamond architecture + AI technology) are difficult to replicate quickly.
  • First-mover advantage to capture early market mindshare.
  • Differentiated positioning (Telegram version + Asian market focus) to avoid direct competition.
  • Continuous technological innovation to maintain leading position.

3. Operational Risk Management

Team Management Risk

• Risk Description: Loss of core team members or poor management.
• Mitigation Strategies:
  • Implement equity incentives and TUIT token rewards to align core team interests.
  • Establish a robust talent pipeline and knowledge transfer mechanisms.
  • Utilize decentralized governance (DAO) to reduce dependency on individuals.
  • Regular team-building activities and skills training.

Funds Management Risk

• Risk Description: Misuse of funds or insufficient liquidity.
• Mitigation Strategies:
  • Staged fund release linked to milestones.
  • Multi-signature wallet management to prevent single points of failure.
  • Establish a risk reserve fund (10% of budget) for contingencies.
  • Conduct regular financial audits and maintain transparency reports.

4. Security and Operational Risk Management

Network Security Protection

• Team Experience:
  • All core members use Two-Factor Authentication (2FA).
  • Multi-factor authentication for social accounts and development environments.
  • Regular security training and phishing simulations.
  • Established security incident response mechanism with 24/7 system monitoring.

Data Security Management

• Measures:
  • Encryption of sensitive data with distributed key management.
  • Regular data backups and disaster recovery drills.
  • Strict access control for all data.
  • Compliance with GDPR and relevant privacy regulations.

Business Continuity Assurance

• Risk Control Mechanisms:
  • Multi-region server deployment to avoid single points of failure.
  • Automated failover and load balancing.
  • Regular system stress testing and performance optimization.
  • 24/7 technical support team.

5. Compliance Risk Management

Regulatory Compliance Risk

• Risk Description: Prediction markets involve financial services and must comply with varying regulations across countries.
• Mitigation Strategies:
  • Financial system designer with 12 years of banking experience (from Agricultural Bank of China) familiar with regulatory requirements.
  • Seek professional legal and compliance support as the project develops.
  • Implement a phased compliance strategy: operate first in regulation-friendly regions, then gradually expand.
  • Establish basic user identity verification to prepare for future KYC/AML requirements.
  • Monitor regulatory developments from authorities such as CFTC and SEC.

Financial Management Risk

• Risk Description: Improper fund management may lead to financial or compliance issues.
• Mitigation Strategies:
  • Implement standardized financial management systems; all fund flows are traceable.
  • Use multi-signature wallets to ensure fund security and transparent usage.
  • Conduct regular internal financial audits to ensure compliance with budget plans.
  • Gradually establish internationally-standardized financial processes and internal controls.
  • Set up investor reporting mechanisms, regularly disclosing fund usage and project progress.
  • Reserve emergency funds to address unexpected compliance or operational needs.

Summary: The team possesses extensive experience in risk management, leveraging technical, operational, and legal measures to ensure project stability. All risk mitigation strategies have concrete execution plans and responsible personnel, with periodic evaluation and updates to the risk control framework.

Funding Requirement

This financing round aims to raise $2 million in exchange for 10% equity + 40 million TUIT tokens.

The project is progressing smoothly and is expected to officially launch in September, entering a rapid growth phase. Compared with the industry-leading Polymarket:

Project Stage Benchmark (Data Sources):

• https://www.clay.com/dossier/polymarket-funding
• https://coinpedia.org/news/polymarket-nears-200m-funding-round-valuation-to-hit-1b
• https://www.bankless.com/polymarket-raises-45m-in-series-funding
• https://kanalcoin.com/polymarket-funding-billion-valuation

Currently, the project’s technical maturity is approaching the level of polymarket prior to its 2024 Series A financing, while the market promotion stage is comparable to polymarket pre-seed stage in 2020.

Note: As the industry-leading platform, Polymarket’s current valuation has reached approximately $1 billion.

Appendix

Delphi Digital – 2024 Research Reports

• Content: Discusses DeFi and on-chain market trends, predicting on-chain prediction markets to account for 5%-10% of DeFi TVL by 2030.
• Link: https://delphidigital.io/reports

McKinsey 2023 Report

• Content: Global Private Markets Review 2023, supporting growth of investment tools.
• Link: https://www.mckinsey.com/

Statista Esports Market

• Content: Forecasted market trading volume ($140M–$210M) based on 10%-15% of the esports market size, consistent with industry benchmarks.
• Link: https://www.statista.com/topics/3121/esports-market/

CoinMarketCap – DeFi Market Overview

• Content: Provides DeFi TVL data (~$120B as of August 2025), supporting projections for on-chain prediction market share.
• Link: https://coinmarketcap.com/view/defi/

ainvest

• Content: Polymarket is expected to secure funding led by Founders Fund, with a valuation exceeding $1B.
• Link: https://www.ainvest.com/news/polymarket-records-1-16-billion-trading-volume-traders-2507/

Reuters

• Content: Kalshi CEO states that the company was valued at $2B in its latest funding round.
• Link: https://www.reuters.com/technology/kalshi-valued-2-billion-latest-funding-round-ceo-says-2025-06-25/

TechCrunch

• Content: Kalshi completes $185M funding round.
• Link: https://techcrunch.com/2025/06/25/kalshi-closes-185m-round-as-rival-polymarket-reportedly-seeks-200m/