AI is far more than LLM! In his latest ultimate AI plan, Musk boldly claims that 80% of future value will come from Bots! With concept stocks for Bots surging one after another, Web3 Bot projects are also accelerating to ignite the trend. How will a decentralized, on-chain harmonious smart ecosystem take over our future? Following Biteye, let's unlock the new stars in Web3 Bots together!
OpenMind raised $20 million, hoping to enhance the understanding and learning capabilities of Bots through an open-source system, with its main products including:
OM1: An AI-native operating system, dubbed the "Android system for Bots", hardware-agnostic and open-source. It enables machines with the capabilities of perception, memory, planning, and control, helping Bots understand the world and take relevant actions based on context. Previously, at a hackathon, participants built an Alzheimer's care Bot using OM1 within 48 hours.
FABRIC: Decentralization coordination layer. Through blockchain, it allows Bots to share data, learn quickly (such as language), and supports consensus, execution, and settlement.
2. @peaq
Keywords: Layer 1, Bots
peaq raised 21 million USD and is a Layer 1 focused on DePIN and the machine economy.
peaq supports Bots, drones, sensors, and other machines to obtain self-sovereign IDs on-chain, conduct peer-to-peer payments, data storage, and automation operations, enabling use cases such as Bots rental, drone delivery, and autonomous machine collaboration, thereby constructing a complete "machine economy" that allows Bots and other devices to independently earn and interact like AI Agents.
The project is built on the Substrate framework, compatible with Polkadot, and has connected to over 90 blockchains. Currently, there are more than 50 DePIN projects on the peaq chain, including Silencio (noise monitoring), MapMetrics (earning from driving), Farmsent (agricultural supply chain), and Natix (smart driving), among others. The network has connected over 4.5 million devices and machines, providing decentralized network services for more than 20 industries, including energy, mobility, transportation, agriculture, and environment.
3. @GEODNET_
Keywords: real-time positioning network
GEODNET raised 15 million, focusing on positioning services—building the world's largest real-time dynamic (RTK) positioning network through Decentralization, providing centimeter-level accuracy global navigation satellite system (GNSS) services.
The project was initially built on Polygon and has now expanded to Solana.
The network allows anyone to purchase and install GEODNET's hardware mining equipment ("satellite miners"), collect and upload RTK correction data to the network, earn $GEOD token rewards, and ultimately empower the network to provide high-precision positioning support for applications such as Bots, autonomous vehicles, drones, and the metaverse.
The network currently covers 145 countries, with more than 19,000 sites, and has delivered over 207,178 GB of RTK data.
4. @psdnai
Keywords: Physical Data Collection
Poseidon is incubated by @StoryProtocol, with seed round financing of 15 million USD, mainly targeting the training data shortage issues in the physical layer of applications such as Bots and multimodal AI Agents.
Poseidon has built a decentralized data layer based on Story to collect, organize, and manage real-world data (such as video, audio, images, location, etc.), ultimately providing IP-protected training data to help accelerate innovation in AI models.
The APP is currently online, focusing on voice information, allowing users to upload voice information within the APP to train AI models, enabling it to handle speech in different accents, dialects, and environments.
5. @PrismaXai
Keywords: Remote Control Platform Tele-op, Training Data
PrismaX is led by a16z CSX, with a total funding of $11 million. It aims to help Bots ultimately achieve a high degree of autonomy through human intervention.
Currently, a remote control (tele-op) platform has been launched, allowing users to remotely operate robotic arms through a browser and convert these operation data into high-quality training data to optimize the model. In this process, operators will receive platform token rewards.
The platform is expected to remotely connect to several well-known Bots such as Yushu and UBTECH in the future.
Focus on remote control and visual data for model training in the short term;
In the medium term, robots will be capable of completing actual tasks through remote human command.
In the long run, the ultimate goal is to achieve complete or high autonomy of Bots.
6. @NRNAgents
Keywords: Remote Control Platform Tele-op, Reinforcement Learning, AI Agent
NRN Agents is a decentralized AI Agent development and training platform running on Arbitrum. Initially starting with AI Agents in games, it is gradually expanding its business into AI Agents behind embodied robots—providing efficient training and deployment solutions for robot AI Agents through a "Sim-to-Real" framework.
Users can directly control the simulation Bots via the browser, generating high-quality behavioral data with each operation, providing training materials for Imitation Learning for the Bots system; at the same time, the AI Agent in the system can also continuously optimize through Reinforcement Learning based on real interactions without the need for complete retraining.
The project is currently in its early stages, mainly focusing on the operation of the robotic arm (RME-1). In the later stages, it will expand to the combat and athletics capabilities of robots.
7. @AukiNetwork
Keywords: DePIN Network, physical world data, positioning data
Auki Network aims to build a decentralized neural network for Bots and smart machines, allowing them to better understand the physical world. The core business is to construct a DePIN network that enables various devices (such as Bots, smart glasses) to share location and perception data in real time, forming a collaborative spatial understanding.
The network is based on the Posemesh protocol, consisting of computing nodes that provide computing resources, motion nodes composed of smart devices such as robots that provide motion and sensor data, reconstruction nodes that generate 3D maps or spatial models using the first two, and domain nodes that manage these 3D spaces. These nodes will receive $AUKI token rewards based on their contributions.
@RoboStack_io
Keywords: abstract hardware complexity, simplified software and hardware integration
RoboStack is a cloud-native simulation and integration platform. It not only provides realistic environment modeling and scalable computing infrastructure for robot development and deployment but also builds a standardized communication protocol through the RCP (Robot Context Protocol) that simplifies the integration of underlying robotic hardware with the AI Agent at the software layer across different hardware, software, and communication standards.
The native token $ROBOT has been launched on the virtuals platform, where users can participate in $ROBOT staking and vote for their favored Bot projects in SIM lord, with the chance to receive rewards.
9. @frodobots
Keywords: sidewalk Bots
FrodoBots Lab is a Bots laboratory that promotes real-world data collection and embodied intelligence development through gamification. Its core product, Earth Rover, is a remote-controlled sidewalk robot, priced at 249-399 dollars, which can be used for gaming, data collection, and AI research. Currently, FrodoBots has deployed hundreds of Earth Rovers globally and has open-sourced a 2000-hour real-world driving dataset.
FrodoBots has built an ecosystem that integrates entertainment and scientific research through innovative robot hardware, a decentralized platform, and an AI framework. The following are its main projects:
9.1. @BitRobotNetwork
Keywords: Decentralization subnet architecture
BitRobot Network is a decentralized platform based on Solana developed jointly by FrodoBots Lab and Protocol Labs, having raised $6 million in funding. The network adopts a subnet architecture, where each subnet contributes specific resources such as computing power, bot fleets, datasets (real or synthetic), or AI models, covering various forms from sidewalk robots to humanoid robots. The first subnet ET Fuji has been launched, which will be detailed below.
9.2. @ET_Fugi
Keywords: Game, Remote Control Platform Tele-op
ET Fugi (Extra-Terrestrial Fugitives) is a real-world robot game where players control the Earth Rover to capture "alien" NFTs, while generating valuable sidewalk data for Bots AI training, and earn rewards such as FrodoBots Points (FBP).
9.3. @samismoving
Keywords: AI Agent, Framework
SAM was originally developed by FrodoBots and @virtuals_io as an AI Agent for remote operation of the Earth Rover Bots. Later, it evolved into the core framework of AI Agents, with all subsequent AI Agents being built on the architecture of SAM and paying a 5% revenue share to it.
SAM is able to collect operational data through Earth Rover to enhance the overall capabilities of the AI Agent. At the same time, it will also live stream parts of the adventure process in real-time on X (Twitter), showcasing specific interactions, competitions, or data collection scenarios, providing both entertainment and educational value.
9.4. @robotsdotfun
Keywords: AI Agent Launch Platform
The launch platform for AI Agents, which collects Bots data through daily competitions (such as capturing alien NFTs) to enhance the capabilities of AI Agents. To participate in the Agent, one must own or purchase an Earth Rover Bot as the "body" of the AI Agent.
9.5. @UFBots
Keywords: Bots combat, remote control platform Tele-op
Ultimate Fighting Bots is a free robot fighting club where users can remotely control humanoid robots based on Booster T1 to engage in combat. The platform generates real-world data for training embodied AI while providing users with an immersive entertainment experience.
✨Summary
After understanding the above projects, we can clearly see the two core advantages of the Web3 Bots track:
The decentralization advantages of blockchain are expected to break the scarcity barriers of Bots models and data.
The on-chain confirmation of rights and incentive mechanisms injects new vitality and sustainability into the Bots economy.
What are your thoughts on the future of Web3 Bots? What opportunities or challenges do you think are worth paying attention to? Come and share your views with Biteye in the comments!
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Understand RoboFi in one article, learn about the Web3 Bots ecosystem.
AI is far more than LLM! In his latest ultimate AI plan, Musk boldly claims that 80% of future value will come from Bots! With concept stocks for Bots surging one after another, Web3 Bot projects are also accelerating to ignite the trend. How will a decentralized, on-chain harmonious smart ecosystem take over our future? Following Biteye, let's unlock the new stars in Web3 Bots together!
Keywords: Operating System, Decentralization Coordination Layer
OpenMind raised $20 million, hoping to enhance the understanding and learning capabilities of Bots through an open-source system, with its main products including:
OM1: An AI-native operating system, dubbed the "Android system for Bots", hardware-agnostic and open-source. It enables machines with the capabilities of perception, memory, planning, and control, helping Bots understand the world and take relevant actions based on context. Previously, at a hackathon, participants built an Alzheimer's care Bot using OM1 within 48 hours.
FABRIC: Decentralization coordination layer. Through blockchain, it allows Bots to share data, learn quickly (such as language), and supports consensus, execution, and settlement. 2. @peaq
Keywords: Layer 1, Bots
peaq raised 21 million USD and is a Layer 1 focused on DePIN and the machine economy.
peaq supports Bots, drones, sensors, and other machines to obtain self-sovereign IDs on-chain, conduct peer-to-peer payments, data storage, and automation operations, enabling use cases such as Bots rental, drone delivery, and autonomous machine collaboration, thereby constructing a complete "machine economy" that allows Bots and other devices to independently earn and interact like AI Agents.
The project is built on the Substrate framework, compatible with Polkadot, and has connected to over 90 blockchains. Currently, there are more than 50 DePIN projects on the peaq chain, including Silencio (noise monitoring), MapMetrics (earning from driving), Farmsent (agricultural supply chain), and Natix (smart driving), among others. The network has connected over 4.5 million devices and machines, providing decentralized network services for more than 20 industries, including energy, mobility, transportation, agriculture, and environment. 3. @GEODNET_
Keywords: real-time positioning network
GEODNET raised 15 million, focusing on positioning services—building the world's largest real-time dynamic (RTK) positioning network through Decentralization, providing centimeter-level accuracy global navigation satellite system (GNSS) services.
The project was initially built on Polygon and has now expanded to Solana.
The network allows anyone to purchase and install GEODNET's hardware mining equipment ("satellite miners"), collect and upload RTK correction data to the network, earn $GEOD token rewards, and ultimately empower the network to provide high-precision positioning support for applications such as Bots, autonomous vehicles, drones, and the metaverse.
The network currently covers 145 countries, with more than 19,000 sites, and has delivered over 207,178 GB of RTK data. 4. @psdnai
Keywords: Physical Data Collection
Poseidon is incubated by @StoryProtocol, with seed round financing of 15 million USD, mainly targeting the training data shortage issues in the physical layer of applications such as Bots and multimodal AI Agents.
Poseidon has built a decentralized data layer based on Story to collect, organize, and manage real-world data (such as video, audio, images, location, etc.), ultimately providing IP-protected training data to help accelerate innovation in AI models. The APP is currently online, focusing on voice information, allowing users to upload voice information within the APP to train AI models, enabling it to handle speech in different accents, dialects, and environments. 5. @PrismaXai
Keywords: Remote Control Platform Tele-op, Training Data
PrismaX is led by a16z CSX, with a total funding of $11 million. It aims to help Bots ultimately achieve a high degree of autonomy through human intervention.
Currently, a remote control (tele-op) platform has been launched, allowing users to remotely operate robotic arms through a browser and convert these operation data into high-quality training data to optimize the model. In this process, operators will receive platform token rewards.
The platform is expected to remotely connect to several well-known Bots such as Yushu and UBTECH in the future.
Focus on remote control and visual data for model training in the short term; In the medium term, robots will be capable of completing actual tasks through remote human command. In the long run, the ultimate goal is to achieve complete or high autonomy of Bots. 6. @NRNAgents
Keywords: Remote Control Platform Tele-op, Reinforcement Learning, AI Agent
NRN Agents is a decentralized AI Agent development and training platform running on Arbitrum. Initially starting with AI Agents in games, it is gradually expanding its business into AI Agents behind embodied robots—providing efficient training and deployment solutions for robot AI Agents through a "Sim-to-Real" framework.
Users can directly control the simulation Bots via the browser, generating high-quality behavioral data with each operation, providing training materials for Imitation Learning for the Bots system; at the same time, the AI Agent in the system can also continuously optimize through Reinforcement Learning based on real interactions without the need for complete retraining.
The project is currently in its early stages, mainly focusing on the operation of the robotic arm (RME-1). In the later stages, it will expand to the combat and athletics capabilities of robots. 7. @AukiNetwork
Keywords: DePIN Network, physical world data, positioning data
Auki Network aims to build a decentralized neural network for Bots and smart machines, allowing them to better understand the physical world. The core business is to construct a DePIN network that enables various devices (such as Bots, smart glasses) to share location and perception data in real time, forming a collaborative spatial understanding.
The network is based on the Posemesh protocol, consisting of computing nodes that provide computing resources, motion nodes composed of smart devices such as robots that provide motion and sensor data, reconstruction nodes that generate 3D maps or spatial models using the first two, and domain nodes that manage these 3D spaces. These nodes will receive $AUKI token rewards based on their contributions.
Keywords: abstract hardware complexity, simplified software and hardware integration
RoboStack is a cloud-native simulation and integration platform. It not only provides realistic environment modeling and scalable computing infrastructure for robot development and deployment but also builds a standardized communication protocol through the RCP (Robot Context Protocol) that simplifies the integration of underlying robotic hardware with the AI Agent at the software layer across different hardware, software, and communication standards.
The native token $ROBOT has been launched on the virtuals platform, where users can participate in $ROBOT staking and vote for their favored Bot projects in SIM lord, with the chance to receive rewards. 9. @frodobots
Keywords: sidewalk Bots
FrodoBots Lab is a Bots laboratory that promotes real-world data collection and embodied intelligence development through gamification. Its core product, Earth Rover, is a remote-controlled sidewalk robot, priced at 249-399 dollars, which can be used for gaming, data collection, and AI research. Currently, FrodoBots has deployed hundreds of Earth Rovers globally and has open-sourced a 2000-hour real-world driving dataset.
FrodoBots has built an ecosystem that integrates entertainment and scientific research through innovative robot hardware, a decentralized platform, and an AI framework. The following are its main projects: 9.1. @BitRobotNetwork
Keywords: Decentralization subnet architecture
BitRobot Network is a decentralized platform based on Solana developed jointly by FrodoBots Lab and Protocol Labs, having raised $6 million in funding. The network adopts a subnet architecture, where each subnet contributes specific resources such as computing power, bot fleets, datasets (real or synthetic), or AI models, covering various forms from sidewalk robots to humanoid robots. The first subnet ET Fuji has been launched, which will be detailed below. 9.2. @ET_Fugi
Keywords: Game, Remote Control Platform Tele-op
ET Fugi (Extra-Terrestrial Fugitives) is a real-world robot game where players control the Earth Rover to capture "alien" NFTs, while generating valuable sidewalk data for Bots AI training, and earn rewards such as FrodoBots Points (FBP). 9.3. @samismoving
Keywords: AI Agent, Framework
SAM was originally developed by FrodoBots and @virtuals_io as an AI Agent for remote operation of the Earth Rover Bots. Later, it evolved into the core framework of AI Agents, with all subsequent AI Agents being built on the architecture of SAM and paying a 5% revenue share to it.
SAM is able to collect operational data through Earth Rover to enhance the overall capabilities of the AI Agent. At the same time, it will also live stream parts of the adventure process in real-time on X (Twitter), showcasing specific interactions, competitions, or data collection scenarios, providing both entertainment and educational value. 9.4. @robotsdotfun
Keywords: AI Agent Launch Platform
The launch platform for AI Agents, which collects Bots data through daily competitions (such as capturing alien NFTs) to enhance the capabilities of AI Agents. To participate in the Agent, one must own or purchase an Earth Rover Bot as the "body" of the AI Agent. 9.5. @UFBots
Keywords: Bots combat, remote control platform Tele-op
Ultimate Fighting Bots is a free robot fighting club where users can remotely control humanoid robots based on Booster T1 to engage in combat. The platform generates real-world data for training embodied AI while providing users with an immersive entertainment experience. ✨Summary
After understanding the above projects, we can clearly see the two core advantages of the Web3 Bots track:
What are your thoughts on the future of Web3 Bots? What opportunities or challenges do you think are worth paying attention to? Come and share your views with Biteye in the comments!