Crowdsourced Intelligence: Zak Sheikh and $PUNDIAI (Pundi AI) how to achieve data democratization

The life and death of AI models depend on their data. $PUNDIAI (Pundi AI) is facing this bottleneck – transforming human-generated datasets into verifiable, ownable, and tradable on-chain assets. The project is led by Zac Cheah (known for Pundi X), and the idea is simple: crowdsource high-quality data, prove its origin on the blockchain, and fairly reward contributors. As a Gate content creator, I will detail the content that $PUNDIAI is building, the current status of the token, and how Gate users can discipline themselves to participate.

##$PUNDIAI Market Snapshot: Price, Supply, and ATH/ATL Background

As of mid-September 2025, the trading price of $PUNDIAI is close to $0.868, with a market capitalization of approximately $6.12M, and a circulating supply of nearly 7.06M $PUNDIAI, with a maximum supply of 18.93M. Historical indicators are important for context: the all-time high was around $18.39 (May 2025) and the all-time low was about $0.5417 (end of August 2025). These ranges help traders set alerts and define invalid points without having to chase noise.

##$PUNDIAI Founder’s Vision: Why Zac Cheah Crowdfunds Wisdom

Zac Cheah is building $PUNDIAI as a community-owned alternative to closed data silos: incentivizing people to label, curate, and verify data; recording contributions on-chain; and establishing an open market for AI training datasets. The mission is to return control and revenue to data contributors—transforming countless small contributions into an asset class rather than anonymous labor.

##$PUNDIAI Product Stack: AIFX Full Layer, Data Platform and Marketplace

$PUNDIAI stack includes a full AIFX layer, a data platform with label earning flow, verification nodes for quality control, and an upcoming AI data marketplace. The goal is to make contributions transparent (decentralized storage added on-chain), tamper-proof, and easily referenced by applications that require verifiable sources. In practice, this means contributors can see how their work is being used, while buyers can accurately audit the content they have authorized.

Early access to the data platform has been launched through the Alpha Testnet, providing contributors and developers with a sandbox to experiment with the token and exchange mechanisms before a wider rollout.

##$PUNDIAI Token Roles: Utility, Governance, and Staking Incentives

$PUNDIAI (rebranded from FX) serves as a utility and governance token in the data economy. Use cases include payments for datasets, distribution of rewards to contributors and validators, as well as staking (potentially using voting escrow or lock-up mechanisms). Due to a hard cap of 18.93 million and the current relatively small circulating supply, the supply dynamics may exacerbate price sensitivity as adoption grows—thus traders should pay attention to issuance, unlocking, and staking participation.

##$PUNDIAI Migration on Gate, Listing Timeline, and Launchpool Support

Gate has supported the migration of Function X (FX) → $PUNDIAI, and then launched $PUNDIAI/USDT trading to provide a transparent depth and professional risk tools order book venue. Gate Launchpool later expanded exposure and early distribution by allowing users to stake to earn $PUNDIAI. For the community, this combination—migration, listing, and Launchpool—creates a clear path for liquidity discovery and user onboarding in a trusted environment.

##$PUNDIAI Data Flywheel: How Contributors, Validators, and Buyers Interact

$PUNDIAI Flywheel is a tripartite market:

• Tag contributors and curate datasets (text, images, social data, vertical corpora), and earn $PUNDIAI for accurate, high-quality work.
• The verifiers review submissions, enhancing the signal-to-noise ratio that model builders rely on. Strong validation transforms raw crowdsourcing into "crowdsourced intelligence."
• Buyers (developers and enterprises) plan datasets through market licenses, pay with $PUNDIAI, and obtain auditable sources to meet the requirements of compliance-sensitive AI workflows.

As the trading volume increases, rewards improve, more contributors join, the breadth of the dataset expands, and buyers find higher quality inputs—completing this cycle.

##$PUNDIAI Community Tools: PURSE+ Plugin and Social Data Capture

In order to expand participation, $PUNDIAI highlights PURSE+ and related interfaces, allowing users to contribute social data (for example, tagging/commenting processes related to public posts) to support "social AI" use cases. The focus is on a simple, mobile-friendly contribution process so that non-technical users can participate and earn $PUNDIAI without the need for specialized tools.

##$PUNDIAI Important Indicators for Gate Traders

For Gate users, the leaderboard is not just about prices:

• Circulation and Market Value: The circulating supply is approximately 7.06 million, while the market value is at the hundred million level. Changes in circulation (issuance/unlocking) can affect price fluctuations. Track the expansion of circulation in comparison to on-chain activities and market usage.
• Trend Anchors: The historical highest price (around $18.39) and the historical lowest price (around $0.5417) help determine risk. Use these to set alerts and avoid impulsive entries.
• Product Rhythm: Alpha → Testnet → Mainnet milestones, the number of validators participating, contributors, and market trading volume are the true utility engines. Prices without throughput are hard to sustain.

##$PUNDIAI Trading Manual on Gate: Rigorous, Data-Driven Execution

• Structured Spot Trading: Use Gate's $PUNDIAI/USDT market to map liquidity pockets. Set alerts around previous daily/weekly highs and define a hard stop loss below structural support to avoid emotional exits.
• Size of volatility: Historical volatility ranged from below $1 to double digits at peak demand, maintaining a conservative scale. Avoid dollar-cost averaging during trend acceleration.
• Follow the utility curve: Track validator activity, contributor growth, and dataset listings. Rising, verifiable utility curves support price better than headlines.
• Planning Entry and Exit: Enter in phases (DCA) near defined support; gradually exit during strong trends. Let the plan, not emotions, drive execution.

##$PUNDIAI Risks: Execution, Liquidity, and Market Launch

• Adoption Risks: The market must attract high-quality supply (good data) and stable demand (buyers). If either side lags, the utility of the token may perform poorly.
• Small-cap dynamics: Due to the relatively small market capitalization, thin books may amplify spreads and slippage. Always check the depth before adjusting positions.
• Roadmap delivery: Alpha access is promising, but ongoing delivery, partnerships, and integrations will determine whether $PUNDIAI becomes a lasting "DataFi" track or a fleeting narrative.

##$PUNDIAI Bottom Line: Democratizing Data - Using Gate as Your Trading Channel

$PUNDIAI is one of the clearest attempts at crowdsourced artificial intelligence, paying those who create it — a direct challenge to closed, centralized data pipelines. Under the leadership of Zac Cheah, contributors and developers can share the benefits of artificial intelligence around a technology stack focused on sourcing, auditing, and open markets, rather than ceding it to walled gardens.

For traders, Gate provides the infrastructure for responsible participation: migration completed, listing launched, Launchpool supporting early distribution, and transparent tools (alerts, order book depth, structured order types). Combining these with strict risk control and a focus on actual utility signals, $PUNDIAI is not just a buzzword—it appears to be a measurable on-chain data economy that can be traded in practice.