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View ChartRICE AI (RICE) is a decentralized AI robotics platform designed to solve one of the most pressing bottlenecks in modern artificial intelligence: the scarcity of high-quality robotics data. Built as a token-based DePIN (Decentralized Physical Infrastructure Network), RICE AI functions as a decentralized AI foundry powered by Rice Robotics, a company that operates service robots in Japan and Hong Kong for delivery, security, and cleaning tasks. The project's stated ambition is to unlock the future robotics workforce by creating a reward-driven system that incentivizes the collection, verification, and monetization of real-world robotic data.
At its core, RICE AI connects teleoperators, robot owners, and data consumers in a single economy. Teleoperators remotely control robots to gather data from robot vision, joint movements, and force measurements, while individuals or companies can contribute physical robots to designated data collection centers. The collected data is then sold to research labs and enterprises, and also used to train robotics foundation models accessible via monthly subscription. RICE AI operates on the BNB Smart Chain as a BEP20 token with a maximum supply of 1,000,000,000 RICE. The token sale began on August 5, 2025, via the TokenFi Launchpad, and the project is backed by FLOKI, part of the NVIDIA Inception Program, and associated with BNB Chain's MVB10 program.
RICE AI is developed by Rice Robotics, a robotics company with operational experience deploying service robots in Japan and Hong Kong for delivery, security, and cleaning applications. The co-founder of the team is Aaron Ng. The project's core investors include the CEO of Virtuals Protocol, as referenced in RootData project details. Rice Robotics has established itself as the operational backbone behind RICE AI, bringing real-world robotics expertise into the decentralized data economy. The project has also received venture funding from DWF Labs, is backed by FLOKI, and participates in the NVIDIA Inception Program and BNB Chain's MVB10 initiative.
RICE AI operates through a multi-layered system that begins with teleoperation and data collection. Teleoperators remotely control robots using webcams with skeleton detection, joysticks, VR controllers, or dedicated teleoperation rigs. They earn token rewards based on the dexterity of the device used, creating a direct incentive to produce high-quality movement data. The data captured includes robot vision, joint movements, and force measurements, forming a rich dataset for AI training.
Individuals and companies can also contribute robots to designated data collection centers. These centers operate in real business settings or lab-built environments, and they accept a range of robot types including humanoid robots, mobile bimanual robots, quadrupeds, and AI toys. Higher rewards are offered for robot types that are in greater demand, guiding supply toward the most valuable data categories. The collected data is then sold to research labs and companies, with fees from these sales used to burn RICE tokens, reducing the total supply over time.
Data quality is maintained through a rigorous filtering process. An AI evaluation model assesses data quality from teleoperators, supported by human data labellers who rank sample data based on task completion efficiency. An AI model predicts data episode similarity, and a clustering-based embedding database filters out redundant data. RICE AI also trains robotics foundation models using the aggregated data, offering access to these models via a monthly subscription, with discounts for clients paying with the native RICE token.
RICE AI addresses a critical gap in the AI robotics industry: the shortage of diverse, high-quality real-world data needed to train capable robotic systems. While much of AI development has focused on software and language, robotics requires physical interaction data that cannot be easily simulated or scraped from the internet. RICE AI solves this by creating a decentralized marketplace where teleoperators and robot owners are directly incentivized to contribute data and hardware.
The project's integration with Rice Robotics gives it a distinct advantage, as the team already operates service robots in commercial environments across Japan and Hong Kong. This real-world operational experience informs the design of data collection centers and ensures that the data being gathered is relevant to actual business needs. The deflationary token model, where data sales fund token burns, aligns the platform's growth with token scarcity. Additionally, the project's backing from FLOKI, participation in the NVIDIA Inception Program, and association with BNB Chain's MVB10 program provide credibility and ecosystem support that many early-stage DePIN projects lack.
The RICE token serves multiple functions within the RICE AI ecosystem. Its primary use is as a reward mechanism for teleoperators who remotely control robots and gather data. The amount of RICE earned depends on the dexterity of the teleoperation device used, incentivizing higher-quality data collection. Robot owners also earn RICE tokens for contributing their hardware to data collection centers, with reward rates varying based on the demand for specific robot types.
RICE is also used as payment for monthly subscriptions to robotics foundation models trained on the platform's data. Clients who pay with RICE receive a discount, creating a direct utility loop between the token and the platform's core product. Beyond payments and rewards, RICE functions as a governance mechanism, allowing holders to participate in decisions about the platform's direction. Finally, fees generated from data sales are used to buy back and burn RICE tokens, creating a deflationary pressure that reduces the total supply over time.
The RICE AI ecosystem has been expanding through strategic partnerships and real-world deployments. In September 2025, Rice Robotics announced a collaboration with Pudgy Penguins to bring a part of the Pudgy Penguins brand to life as a robot companion capable of movement and interaction, tying into the broader Pudgy Penguins and PENGU Asia initiatives. Around the same time, Rice Robotics entered into a Memorandum of Understanding with Edvance Innovation Limited to expand educational robotics solutions into the Middle East and North Africa region, with plans to deliver 3,000 educational robotics units.
Further ecosystem growth came through a strategic collaboration with Vengine Ventures, a venture builder platform partnering with VTech Group, focused on product development and scaling through supply chain and manufacturing capabilities. Rice Robotics also signed a strategic partnership with Yunji Technology to co-develop a new generation of commercial cleaning robots, starting with deployment in Japan. The project maintains an active community on X under the handle @realRiceAI, with approximately 18,800 followers, and has been listed across multiple major cryptocurrency data platforms and exchanges, with 48 to 51 active markets reported by various sources.
RICE AI does not use traditional proof-of-work mining. Instead, participants earn RICE tokens through active contribution to the network's data economy. The primary earning method is teleoperation: users remotely control robots using webcams with skeleton detection, joysticks, VR controllers, or teleoperation rigs, and receive token rewards based on the dexterity of their input device. This creates an accessible entry point for individuals who may not own physical robots but can contribute their time and motor skills to data collection.
A second earning pathway involves contributing robots to designated data collection centers. Individuals or companies can provide humanoid robots, mobile bimanual robots, quadrupeds, or AI toys to these centers, which operate in real business settings or lab-built environments. Higher rewards are offered for robot types that are in greater demand by data consumers. There is no staking mechanism described in the available materials, and the token generation event took place with approximately 187 million RICE in circulating supply at launch. Participants should refer to the project's official documentation for specific reward rates and eligibility requirements.
RICE is a BEP20 token on the BNB Smart Chain, which means it can be stored in any wallet that supports BEP20 assets. For long-term holding, a hardware wallet provides the strongest protection against online threats by keeping private keys offline. Software wallets and browser-based wallets offer more convenience for frequent transactions but should be used with caution and secured with strong, unique passwords and two-factor authentication where available.
Users should always verify contract addresses before interacting with any RICE-related smart contract, as fake tokens with similar names can exist on public blockchains. The official contract address should be confirmed through the project's official website or verified blockchain explorer. Since RICE AI involves teleoperation and robot contribution, participants should also be cautious about sharing personal information or granting remote access to devices outside of official platform interfaces. Keeping recovery phrases offline, avoiding phishing links on social media, and regularly reviewing wallet permissions are essential practices for protecting any cryptocurrency holdings, including RICE.
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As of right now, the live price of RICE AI (RICE) is $0.007077. Its market price fluctuates in real time based on overall supply and demand, and you can check the updated RICE to USD rate at the top of BTCC’s price page. In terms of market scope, RICE AI records a 24h trading volume of $160.093821K (reflecting total buying and selling activity over the last 24 hours), with a total market cap of $1.586936M. Its current circulating supply stands at 211.53M out of a maximum supply cap of 1B.
The price volatility of RICE AI (RICE) is essentially driven by market supply and demand dynamics. Key factors behind its price movements include: 1) Global macroeconomic conditions and sentiment, such as Fed interest rate decisions; 2) Tokenomics, including the ratio of circulating supply (211.53M) to max supply (1B), as well as token unlocks and burn mechanisms; 3) Fundamental developments, such as ecosystem expansion, on-chain activity, and core protocol upgrades; and 4) Derivatives market dynamics, including leverage battles and liquidation cascades in perpetual contracts.
Looking at its historical price performance, RICE AI (RICE) hit an all-time high (ATH) of $0.270335 on 2025-09-24 22:45, representing the peak of market sentiment. Conversely, its all-time low (ATL) was recorded at $0.002657 on 2026-04-05 21:30. Note that historical highs and lows reflect past performance only and do not guarantee future price trends; investment decisions should always align with live market conditions and your personal risk tolerance.
When trading RICE futures on BTCC, technical chart analysis begins with identifying key support and resistance levels on 1D and 4H charts using historical price pivots. Next, apply MA/EMA indicators to gauge trend directions, alongside RSI (values above 70 indicate overbought conditions, while below 30 suggest oversold levels). Always validate breakout signals with the 24h trading volume ($160.093821K), as price breakouts accompanied by strong volume offer higher reliability.
Unlike spot trading where you can only profit from rising prices, BTCC’s RICEUSDT perpetual contracts support two-way trading. If you anticipate a price decline for RICE AI, simply log into your BTCC account with USDT margin available, navigate to the RICEUSDT pair, set your desired leverage and Take-Profit/Stop-Loss levels, and click "Sell/Short". Once the price drops to your target, close your position to lock in profit from the price difference.
Yes. BTCC offers flexible, high-tier leverage options for RICEUSDT perpetual futures, providing up to 500x leverage (maximum leverage limits may vary depending on liquidity). While leverage boosts capital efficiency by allowing you to control larger position sizes with less margin, it also amplifies liquidation risks proportionately. BTCC strongly advises using Stop-Loss orders to strictly manage risk when trading with high leverage.
Beginners and traders testing new strategies can switch to BTCC's "Demo Trading" mode with a single click on the App or Web interface. The demo account comes pre-loaded with risk-free virtual funds (such as 100,000 USDT). Powered by live market prices (current price: $0.007077), you can practice opening/closing positions, adjusting leverage, and setting TP/SL for RICEUSDT with zero financial risk.
Trading RICE AI (RICE) on BTCC requires just 4 simple steps: 1) Register a BTCC account and complete basic Identity Verification (KYC); 2) Buy USDT using fiat via credit card/express payment, or deposit USDT/BTC directly from an external wallet; 3) Navigate to the Futures section, search for RICEUSDT, and review its live price ($0.007077) and chart; 4) Select your margin mode and leverage, choose "Buy/Long" or "Sell/Short" based on your market outlook, set TP/SL orders, and confirm your trade.
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