![]() | RICE AI (RICE) |
The robotics industry is starving for robotics training data. This is currently the bottleneck in achieving AGI for robots. RICE AI is building an AI foundry that collects data and train Robotics Foundation Models (RFM) in a decentralised way at scale.
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What is RICE AI
RICE AI is a decentralized AI foundry powered by Rice Robotics. It aims to solve the AI robotics data scarcity bottleneck by building a reward system for robotics data sharing on top of a DePIN layer, with $RICE as its main utility token.
Individuals or companies can contribute robotics data to the RICE AI foundry in exchange for token rewards. The collected data will be sold to research labs and companies in need.
In-house robotics foundation models are also trained using the data collected from the foundry and will be accessible for robotics companies or robot owners on a monthly subscription model. If clients pay with our native token, a discount will be offered.
$RICE is designed to be deflationary in the long run. A portion of the fee collected from data purchasers will be used to burn tokens, thereby reducing the overall supply.
The token is also used as the governance token for the data collection protocol. More utility will be added along with the platform development.
RICE AI Roadmap
Launching a utility token will be essential for fostering collaboration and innovation.
- Launching a utility token.
- Establish a Strong Partnership with a strong web3 brand.
- Build a strong web3 community through giveaways, social engagement, and KOL marketing.
- Minibot M1 Prototyping and Beta Test with selected community members.
A companion robot that rewards users by interaction. Interactive data contribute to the RICE AI protocol as a large data model. The goal of the M1 minibot is to accelerate the adoption of RICE AI data-sharing protocol.
- Minibot M1 Sale and Mass Production of M1 Minibot.
- Launch a Staking Program to encourage long-term commitment from the community.
- AI agent mini-game launch. Users can customize their own AI agent’s behavior and characteristics; this AI agent can later be imported into an M1 minibot, giving your companion a physical body.
- IP Collaboration with other Web3 brands to launch their own version of the M1 minibot.
The AI Data Sharing Protocol allows AI researchers or engineers to get access to the massive data collected through the millions of integrated robots deployed worldwide. The focus is on an "AI data as an asset" marketplace, providing users with valuable datasets for their robots. RICE AI will be the decentralized version of scale.ai, specifically for robot intelligence.
- Launch RICE Robotics Data Marketplace.
- Build more tools for data collection into the protocol.
- Develop an app for Apple Vision Pro users to contribute robotics training data (with a rewards system).
- SDK integration to 3rd party robots such as affordable humanoid robots G1 and H1 from Unitree.
- Prototype and Mass Production of M2 Minibot.
Powered by the decentralized data sharing protocol, our AI foundry disrupts the robotics industry with a decentralized marketplace to build foundation models for AGI robots that are actuated in the physical world.
Imagine buying your robotics parts, assembling your customized robot, and plugging in RICE AI to power its intelligence. Like ChatGPT powering thousands of newly emerging text-based applications today, RICE AI will be the affordable way to power robots in the future. Tapping into the DePIN industry for better infrastructure for robotics AI.
- Launch RICE AI Foundry used for training foundation models like robotics motion and spatial awareness.
- Launch RICE Humanoid Robots.
- Launch GPU sharing feature for AI training.
Token Sale Dates
IDO
IDO
Token Allocation
Funding Details
Token distribution
Ecosystem Reward - 39.00%
Investor - 18.00%
Floki/TokenFi Community Airdrop - 14.00%
Community Presale - 10.00%
Treasury - 5.00%
Team - 5.00%
LP - 5.00%
Floki Trading Bot - 2.00%
MM - 2.00%










