KAITO partners with Polymarket to launch AI-themed market focus report: comprehensive analysis

Execution Summary

Building on a partnership announced on February 10, 2026, prediction market platform Polymarket and Singapore-based crypto data company Kaito AI have jointly launched "Attention Markets," allowing users to make predictions and bets on trends, brand popularity, and public opinion. The product is scheduled to officially launch in early March 2026, initially focusing on artificial intelligence, and will later expand to multiple sectors including finance, entertainment, and sports. This collaboration combines Kaito's real-time social media data analytics with Polymarket's prediction market infrastructure, aiming to quantify public attention and create new tradable markets.

Key timeline :

• February 10, 2026 : Partnership officially announced (reported by Forbes, The Block, and other media outlets)
• Early March 2026 : The first batch of AI-themed marketplaces will be launched (dozens of marketplaces planned).
• By the end of 2026 : Expand to thousands of markets (across multiple sectors)

Cooperation details and mechanism analysis

Background and motivation for cooperation

Polymarket (founded in 2020) is a blockchain-driven prediction market platform that allows users to trade on the outcomes of real-world events using cryptocurrencies. Kaito AI is an AI company focused on Web3 analytics, providing real-time social media data aggregation and analysis services. The collaboration between the two companies is based on the following motivations:

• Data-driven prediction : Kaito extracts data from platforms such as X, TikTok, Instagram, and YouTube to quantify "mindshare" (volume of discussion) and "sentiment" (positive or negative sentiment), providing a new dimension for market prediction.
• Market expansion needs : Polymarket seeks to move beyond traditional event prediction (such as elections and sports) and enter the more abstract realm of the "attention economy".
• Improved accuracy : Kaito CEO Yu Hu stated that by combining Kaito data with Polymarket transaction activity, it can provide a more accurate measure of public opinion than traditional surveys.

Technical architecture and market mechanism

Attention Markets employs a three-layer technical architecture:

1. Data collection layer : Kaito AI monitors social media, news portals, and forums in real time, processing billions of data points daily.
2. Indicator Calculation Layer : Natural Language Processing algorithms measure the volume, velocity, and valence of the discussion, generating mindshare and sentiment scores.
3. Market creation layer : Automated generation of prediction market contracts on the Polymarket platform, based on a threshold sentiment score.

Example markets : such as "Anthropic vs. OpenAI popularity comparison" or "Will quantum computing surpass neural networks in discussion volume before June?"

Launch plan and scale

• Initial Focus : AI-related topics (March 2026)
• Expanding areas : crypto, finance, entertainment, sports, geopolitics, etc. (within 2026)
• Market size : Starting with dozens, with plans to expand to thousands by the end of the year.
• Platform Integration : Attention Markets will be directly integrated into the Kaito main site, and there are also plans to launch a standalone site.

Polymarket Platform Background and Growth Data

Based on Dune Analytics data (as of February 23, 2026), Polymarket has experienced explosive growth, providing a solid foundation for this collaboration:

Transaction volume and user growth

Platform Activities and Financial Metrics

• Number of transactions : Over 237 million cumulatively, with a peak of 51.98 million transactions in January 2026 alone.
• Fee Revenue : USDC fees totaled $829,000 (activated in January 2026, with daily peak exceeding $33,000).
• Open interest : peaking at over $510 million (October 2024, dominated by Trump-related interests), currently around $390 million (more diversified).
• User distribution : Retail-dominated - 696,000 users have an average bet of $0-10, while only 184 users have an average bet of over $50,000.

Prediction accuracy verification

Polymarket demonstrates high forecast accuracy, enhancing the credibility of new markets:

• 150 minutes after the start of the event : 95.92% accuracy (based on 6108 markets)
• Expected vs. Actual 4 hours ago : Strong linear correlation, for example, a 97% expectation corresponds to a 95% actual settlement rate.
• Market efficiency : Expected percentages are highly calibrated to actual "Yes" results

Kaito AI Company Background

• Headquarters : Singapore
• Business Scope : Web3 AI data analytics, focusing on social media aggregation and sentiment analysis.
• Funding : Total funding of $10.5 million, valuation of $87 million (latest data)
• Other collaborations : Simultaneously building a focus market for prediction market startup Noise (Noise raised $7.1 million in seed funding led by Paradigm).

Market Impact and Competition Analysis

Forecasting market industry growth

The collaboration comes at a time when the market is predicted to be booming.

• Polymarket's competitor : Kalshi, with a January 2026 trading volume of $9.55 billion (+45% MoM).
• Industry Trends : Event-Driven Contract Demand Surges, Particularly Political (Trump-Related Markets Dominate OI)

Potential impact

1. A new asset class : mindshares/sentiments have become tradable assets, pioneering a new paradigm for prediction markets.
2. Cross-industry applications : From AI to brand management and cultural trend prediction, with a large potential market size.
3. Valuing data : Social media discussions are directly transformed into financial signals, improving the accuracy of quantifying public opinion.

competitive advantage

• Technology integration : Kaito's proprietary data + Polymarket's liquidity and user base
• First-mover advantage : The first major platform to launch a social media-driven prediction market on a large scale.
• Regulatory positioning : Using trading as a "sentiment indicator" rather than the outcome of specific events may circumvent the regulatory challenges of traditional prediction markets.

Risks and Limitations

Data limitations

• Social media data bias : Platform coverage (X, TikTok, etc.) may not represent the overall public opinion and may be subject to demographic bias.
• Sentiment analysis accuracy : NLP algorithms may misjudge context or sarcasm, affecting the fairness of market settlement.

Market risk

• Liquidity risk : New market types may experience insufficient liquidity in the initial stages, affecting price discovery.
• Regulatory uncertainty : Despite the different structures, regulators such as the U.S. CFTC may focus on new types of contracts.

Information gap

• KAITO token details : News reports mention a market capitalization of $97 million for KAITO, but no data on token economics, uses, or price is available.
• Specific market rules : Operational details such as settlement mechanisms and data source transparency have not been fully disclosed.

Conclusions and Outlook

The collaboration between KAITO and Polymarket represents a paradigm shift in prediction markets, evolving from binary event prediction to the quantification of the continuous attention economy. Leveraging Polymarket's explosive growth (US$7.66 billion in trading volume by January 2026) and Kaito's AI data analytics capabilities, Attention Markets is poised to capture emerging demand.

Key success factors :

• Market education : Users need to understand the trading logic of mindshare/sentiment indicators.
• Technical reliability : Real-time data processing and settlement must operate seamlessly.
• Regulatory Navigation : Maintain a decentralized structure to avoid conflicts with traditional financial regulations

Short-term catalyst : The launch of the AI-themed marketplace in March 2026 is expected to attract attention from the crypto and AI communities. Long-term potential : If expanded to thousands of markets, it could become a benchmark for public opinion, replacing traditional surveys.

This collaboration highlights the innovative trend of integrating prediction markets with AI data, but its success depends on execution details and market acceptance. We recommend closely monitoring its liquidity and accuracy performance after its launch in early March.