Launched in September 2025, the Mainnet now supports large models such as Qwen3-235B. Gonka operates as a Layer 1 blockchain network, and contributors are rewarded with GNK tokens.

The Vision of the Liberman Siblings and Investor Support

The project was founded by the Liberman siblings (David, Daniil, Anna, and Maria Liberman). The siblings previously sold a company to Snapchat for $60 million and founded Product Science, providing AI code optimization services for enterprises. They bring extensive entrepreneurial experience to Gonka.

Investors and Strategic Partners

Gonka has raised approximately $69 million in funding by the end of 2025. Notable investors include:

• Bitfury: $50 million investment in December 2025

• Coatue Management: Supports the project with OpenAI expertise

• Slow Ventures, K5, Hard Yaka: Additional investors strengthening the ecosystem

The funding supports network development and GPU provisioning.

Project Concept

Gonka’s core idea is to decentralize AI computation, making it both accessible and efficient. While most computing power in existing networks (e.g., Bitcoin mining) is wasted on meaningless consensus tasks, Gonka directs nearly all resources toward productive AI tasks, such as training and inference.

The project implements “Proof of Work 2.0”, maintaining blockchain security while providing developers with censorship-resistant, low-cost access. The goal is to make AI “unstoppable like Bitcoin” and to break the monopoly of tech giants such as OpenAI and Google.

How Gonka Works: Proof of Learning

Gonka operates via the Sprint mechanism. Every 10 minutes, Hosts solve Transformer-based tasks. Those producing results close to the target vector earn voting power and GNK rewards. During periods of low demand, dummy tasks keep computational resources engaged.

Training is conducted with DiLoCo distributed learning, where large model segments are shared across Hosts. Each Host trains its segment, enabling scalable and efficient network-wide AI computation. During each Sprint, participants attempt to find appropriate vectors using nonces, similar to Proof-of-Work, but the goal is AI model contribution, not block creation. Successfully generated vectors translate into GNK rewards and governance rights.

Security is ensured using random number generation, Threshold Cryptography, and Commit-Reveal mechanisms. Malicious activity is detected with state hashes and probabilistic validation, making the network secure and fair.

Governance

Gonka governance relies on Proof of Compute (PoC) weight. Each Host has a default 20% voting power, while the remaining 80% is activated through GNK collateral locking.

Decisions follow defined rules:

• Quorum: 33.4% participation

• Majority: >50% approval

• Veto: 33.4% disapproval

All proposals are on-chain, usually requiring collateral. The first 180 epochs are exempt from collateral requirements.

Roadmap 2026

Gonka plans to expand its network and ecosystem integration throughout 2026:

• Q1 2026: Testnet launch and first Proof-of-Learning Sprints

• Q2 2026: Mainnet launch and GNK token distribution completion

• Q3 2026: Sharding implementation and large model support

• Q4 2026: DApp integration and ecosystem partnerships expansion

GNK Token Utility

GNK tokens are used for:

• Rewards and incentives within the network

• Governance and voting rights

• Service access and AI model usage fees

Token Details

• Token Name: Gonka

• Symbol: GNK

• Total Supply: Fixed at 1 billion GNK

• Standard: ERC-20 or compatible

Token Distribution

• Core Incentive (Hosts): 680 million GNK (68%) – Epoch rewards for computation contributors

• Community Pool: 120 million GNK (12%) – For liquidity, ecosystem initiatives, and community programs

• Founders Allocation: 200 million GNK (20%) – Reserved for early founding team members

This distribution ensures sustainable growth while motivating both the community and founders.

Ecosystem

The Gonka ecosystem includes participants, validators, developers, and investors, providing:

• AI model training and validation

• Reward and governance systems

• DApp and third-party integrations

Designed as a transparent, secure, and sustainable distributed AI network.

Features

• Distributed AI Training: Large models trained across shared resources

• Proof-of-Learning: Measures and rewards computation contributions

• On-Chain Governance: Transparent blockchain-based management

• Sharding and DiLoCo: Model segments managed efficiently, enabling scalable training

• Security and Validation: Malicious contributions blocked via state hashes, probabilistic validation, and honeypots

Gonka aims to optimize AI computational resources, but technical challenges and optimizations continue. The network’s potential will be clearer as it scales and supports larger models.

Official Links

• Website
• Twitter
• Discord

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Vision

AIAV emerges with a vision that challenges the current model in which artificial intelligence is built exclusively by large corporations. Its core approach is to collectively shape AI through its users.

By converting real human dialogues into AI knowledge, AIAV aims to produce AI Avatars (AVs) that are fueled by personal conversations and truly reflect the individuals behind them. This approach positions AIAV not merely as a technology product, but as an AI Agent platform that grows together with its users.

The project takes a clear stance against the uncompensated use of personal and valuable data. Within the AIAV ecosystem, users are not passive data providers, but active participants forming the core of the system. The platform’s long-term goal is to build a living AI ecosystem that evolves alongside its community.

Project Concept: What Is an AI Avatar (AV)?

At the center of AIAV lies the concept of the AI Avatar (AV).

An AV is not a standard chatbot or assistant. It is born from real conversations and gradually shapes itself by learning the speaker’s:

• Tone

• Way of thinking

• Knowledge level

• Characteristic reactions

While most AI systems gravitate toward uniform, standardized personalities, each AIAV Avatar can develop a distinct identity. Some may act as mentors, others as creative collaborators, and some as long-term companions capable of retaining contextual memory.

This personalization layer transforms AVs from abstract technology into digital entities that are genuinely usable and trustworthy in daily life. AIAV turns “data contribution” from an abstract process into tangible digital value that grows with the community.

Contribution Flow

• Contribute: Users add data through chats and persona examples.

• Evaluate: The community scores contributions based on quality and similarity.

• Train: AI Avatars improve and evolve through these inputs.

• Earn: Contributions generate AIAV XP, which can later be converted into tokens.

Team and Founders

The project is developed by Tokyo-based D.N.A. AI AVATAR Co.:

• Ryoji Miyauchi (CEO): Visionary leader

• Jack Tran (CPO): Product strategist

• Paul Kano (CAIO): AI architect

• Tsuyoshi Tomioka: Growth director

Investors

• Funding: The project has raised a total of $4 million at a $30 million valuation.

• Key Investors: Animoca Brands, DuckDAO, Castrum Capital, VistaLabs, Edimus, Bedrock Ventures, Notch Ventures, Gemhead Capital, and Alpha Capital.

• Binance Alpha: Selected as a strategic partner for airdrop and listing as of January 2, 2026.

$AIAV Token and Use Cases

$AIAV is a Web3 token that converts dialogue into value. Its earn-and-spend cycle ensures system sustainability.

• Compute Access: Tokens unlock larger context windows, faster response times, and extended generation rights.

• Service Tiers: Holding or staking tokens provides:

  • Longer memory

  • Premium models

  • Task-specific AI Agents

• Contribution Rewards: High-quality data, feedback, and evaluations are rewarded with $AIAV.

• Governance: Token holders can propose and vote on reward weights, fee distributions, and system updates.

Token Allocation

• Ecosystem Rewards: 17.5% – 12 months

• Treasury Fund: 20% – 24 months

• Liquidity: 12% – 12 months

• Marketing (Total): 3.6% – 12 months

• CEX/DEX Marketing: 7.4% – 12 months

• KOL Marketing: 1.2% – 12 months

• Marketing Agency: 2.5% – 12 months

• Community Airdrop: 2.5% – 12 months

• CEX Marketing: 5.7% – 12 months

Roadmap

2025 Q3

• $AIAV Token CEX/DEX listings

2025 Q4

• AIAV Beta release

• Automated contribution tracking and reward distribution

• Visual and video generation features

• Layer and platform partnerships

2026 Q1–Q2

• AIAV Alpha Platform launch

• Full platform with Federated Learning

• SDK/API release

• Automated purchase integrations

Ecosystem and Key Features

The AIAV ecosystem serves both individual users and enterprises.

• Ownership: Users fully own their AI avatars and all associated data.

• Interoperability: Avatars can move across metaverse worlds and applications.

• Hyper-Personalization: AIAV avatars can mimic the owner’s humor and emotional responses, unlike standard AI systems.

Official Links

• Website
• Twitter
• Whitepaper

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Overview

DeepNode is a decentralized infrastructure for deploying, evaluating, and managing AI models. Developers can upload, test, and deploy their models to users. Contributions are rewarded based on actual usage performance through the PoWR (Proof-of-Work Relevance) mechanism.

The platform turns AI into a collaborative marketplace where developers compete, cooperate, and earn continuous value from their models, instead of being limited to corporate control.

Team and Founders

• James Ruff (CEO & Co-Founder): Over 13 years of experience in applied mathematics and AI/ML consulting.

• Hamed Afshar: CEO at Deep Node Ltd, specializing in AI-based solutions.

Team Vision: Transparency, fair contribution rewards, and community-oriented governance.

Investors and Partnerships

DeepNode recently raised $2M at a $25M valuation.

• Seed Round ($2M): WildSageLabs (RoundTable21), Rizzo (DNA), Gateway.FM

• Strategic Round ($3M): Blockchain Founders Fund, Side Door Ventures, TBV, IOBC Capital, Fomo Ventures, Nestoris

Vision & Mission

• Mission: Build a decentralized AI marketplace where every creator owns their models.

• Vision: Intelligence is open, shared, and human-centered. AI infrastructure is decentralized, permissionless, and accessible to all contributors.

How DeepNode Works

• Model Submission & Evaluation: Developers submit models to specific domains; validators test performance.

• Rewarding: Top-performing models and accurate evaluators earn $DN tokens.

• Continuous Improvement: Models evolve through competition and collaboration.

• User Access: AI services are paid in $DN; fees are distributed to contributors and part is burned to stabilize the economy.

Governance

$DN token holders govern the protocol. Staking allows voting on upgrades, reward models, and network rules, focusing on long-term network health.

Roadmap

• Current (End of 2025): DIVE program active; over 25,000 registered users.

• Next (Q1 2026): Base Mainnet launch.

• Long Term: Settlement layer for AI agent economy and expansion of specialized subnetworks.

Token Use Cases

• Reward Flows: Model creation, mining, validation, staking, and bonding.

• Access & Payments: Use AI marketplace services and pay transaction fees.

• Economy: $DN planned with $75M FDV on Base network.

Token Information

• $DN is DeepNode’s native token. Rewards real contributions through the PoWR mechanism.

• Total supply not officially disclosed; current planned circulating: 60M $DN.

• Max supply: 100M $DN

• Circulating supply: 0 $DN

Ecosystem

DeepNode supports AI applications across multiple sectors, from healthcare to finance, with 100k+ social followers and 1,500+ developers.

• Transparent Token Economy: $DN flows fairly among participants.

• Contribution-Based Growth: Model creation, validation, subnet launch, and node operations strengthen the network.

• Collaborative Marketplace: Fragmented AI ecosystem consolidated into a single cooperative marketplace.

• Long-Term Value Creation: $DN drives economic participation and strategic partnerships.

Features

• Multi-Purpose AI Platform: All-in-one predictive analytics and modeling; one-click, no code needed.

• Market-Driven Innovation: Models rise based on real usage and peer feedback.

• User-Owned AI Economy: Developers retain IP and earn ongoing value; contributors rewarded.

Official Links

• Website
• Twitter
• Discord

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Team and Founders

Although official information about the ByteNova team is limited, the project is led by Chris, a founder and entrepreneur specializing in decentralized computing and the future of AI. Chris shapes the strategic direction of N.O.V.A and the ByteNova ecosystem, guiding the project’s vision and key initiatives.

Investors and Notable Partners

ByteNova benefits from a strong network of investors and partnerships. Key supporters include NVIDIA, CoinMarketCap, and Forum Ventures. NVIDIA provides hardware support to optimize edge AI performance, CoinMarketCap boosts project visibility, and Forum Ventures is a fund specializing in early-stage AI investments.

Notable partnerships include:

• HyperGPT: AI + blockchain integration; transforming N.O.V.A into personalized 3D AI companions for crypto trading.

• 4AI (4aibsc): BSC-based decentralized AI marketplace with modular AI infrastructure, plugin, and data tools.

• Gaib AI: On-chain AI collaboration with Phase 2 NFT allowlist campaigns and exclusive roles.

• SOLOverse: BNB Chain GameFi + AssetFi platform with reward campaigns.

• DIN: Infrastructure for AI agents and decentralized AI applications; supporting “Road to N.O.V.A.” campaigns.

• Hylo: Solana-based high-yield stablecoin integration with alpha discovery and engagement bonuses.

These collaborations strategically position ByteNova in the Web3 ecosystem and integrate seamlessly with NVIDIA’s NIM microservices and NeMo Guardrails tools.

Project Concept

ByteNova’s core vision is to move AI from cloud-centric control to users’ devices. AI runs locally, ensuring privacy, personalization, and developer-driven extensibility. N.O.V.A learns user habits and gradually evolves into a personal digital assistant.

How the Project Works

ByteNova operates on a three-layer architecture:

• Edge AI Computing Layer: On-device AI inference with GPU/NPU/CPU support, offering low latency and high privacy.

• Model Layer: Custom LLMs, TTS, and ASR systems designed for emotional intelligence, memory, and companion-like behavior.

• N.O.V.A Application Layer: Desktop application providing a personal AI experience with customizable appearance, voice, and behavior.

Governance

ByteNova adopts a decentralized approach. Users own their AI via Soulbound Tokens (SBTs) linked to their N.O.V.A, while developers can build plugins and MCP tools, earn revenue, and contribute to the ecosystem.

Roadmap

• Phase 0 (2023–2024): Edge AI infrastructure, LLM and speech model development.

• Phase 1 (Q1–Q3 2025): Community building, ecosystem preparation, user education, and campaigns.

• Phase 2 (Q4 2025): N.O.V.A Alpha, SBT minting, mining, and premium features launch.

• Phase 3 (Q1–Q2 2026): MacOS, iOS, and Android releases; plugin SDK and platform expansion.

• Phase 4 (2026+): Full marketplace activation, advanced edge-AI ecosystem, VR/AR/MR integration.

Token Use Cases

• Premium N.O.V.A subscriptions

• Purchasing plugins and MCP tools

• Staking and reward mechanisms

• Marketplace transactions

• Earning rewards through daily interactions and community tasks

BN Token Information

• Token Name: ByteNova Token

• Total Supply: 1 Billion BN

• Max Supply: 1 Billion BN

• Self-reported Circulating Supply: 263 Million BN

Token Distribution

• Private Rounds: Early development and fundraising

• Team & Advisors: Founding team and advisors

• Foundation: Operations, R&D, and ecosystem management

• Airdrop: Early users and community contributors

• Incentive Pool: User rewards, developer incentives

• Ecosystem: Developer grants, strategic partnerships, marketing

Ecosystem

ByteNova is a platform where users, developers, and the AI ecosystem converge. N.O.V.A evolves according to user behavior, while developers expand AI capabilities with plugins and MCP tools. The marketplace ensures continuous innovation and economic activity.

Features

• Customizable AI assistant

• Appearance, theme, voice, and behavior personalization

• Low-latency, privacy-preserving edge AI

• Developer plugin support

• Daily interactions, quests, and mining system

• AI identity and long-term bond via Soulbound Token (SBT)

ByteNova aims to create an innovative ecosystem where AI moves from centralized servers to edge devices, providing users with personal ownership, privacy, and developer-driven expansion.

Social Media & Links

• Website
• Twitter
• Telegram

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The Morphware platform enables AI agents for:

• Workflow automation

• Data extraction

• Content generation

• Virtual assistance

• API integrations

A key feature of Morphware is its commitment to sustainability and operational efficiency. Its data centers are powered entirely by hydroelectric energy from the Itaipu Dam on the Paraguay-Brazil border. This allows access to low-cost, clean energy, enabling competitive pricing while minimizing environmental impact.

The platform uses the latest NVIDIA B200 and H200 GPUs, offering high performance and scalability, supporting complex AI models and large-scale enterprise deployments.

Morphware also operates Bitcoin mining facilities utilizing excess hydroelectric energy. This dual revenue approach maximizes resource use and financial sustainability.

Team Overview

Morphware is managed by a team with expertise in:

• Blockchain technology

• Software engineering

• Community development

• Artificial intelligence

• Hardware innovation

Key team members include:

• Kenso Trabing – Founder: Senior data scientist, blockchain educator at Princeton and Yale.

• Darshan Raju – Tech Lead: Former Microsoft and ByteDance engineer shaping Morphware’s technical strategy.

• Anthony Albertorio – Community Lead: Experienced in developer relations and ecosystem growth at zkSync and ConsenSys.

• Asim Jan – AI Lead: Managed high-value AI projects at Shell, specializes in scalable AI infrastructure.

• Immanu’el Segol – Hardware Lead: Expert in secure hardware solutions with experience at PayPal and hardware startups.

Project Concept and Functionality

Morphware provides a decentralized network to overcome centralized cloud limitations. By connecting data scientists and crypto miners with GPU owners, the platform:

• Reduces operational costs

• Improves data security

• Optimizes idle computing capacity

Core principles include:

• AI Advancements: Leveraging cutting-edge AI technologies for innovation.

• Decentralization: Ensuring global scalability and accessibility.

• Sustainability: Using renewable energy and carbon offsetting.

• Innovation & Democratization: Tokenomics and governance incentivize contributions.

Governance

Morphware employs the ERC20Votes system for decentralized governance.

XMW token holders can participate in:

• Protocol upgrades

• Resource allocation

• Sustainability initiatives

• Allocation of profits from AI and mining operations

This ensures that community interests shape the platform’s evolution.

Roadmap

Morphware’s roadmap has three stages:

1. Infrastructure & Revenue Foundations

• Establish high-performance NVIDIA GPU infrastructure

• Expand data centers

• Implement BTC mining to generate revenue and fund XMW buybacks

2. Expansion of AI Services

• Launch Morphware Chat

• Develop API integrations

• Build custom AI assistants (Morphware Genesis)

• Deploy generative media engines (image, audio, video)

• Offer premium model training and fine-tuning

• Integrate all services with XMW token for payments

3. Decentralized AI Infrastructure

• Launch Morphware Blockchain

• Use XMW as a gas token

• Implement FHE-based privacy solutions

• Deploy on-chain AI verification and smart contract automation

• Sustainably reward external contributors

Token Use Cases

XMW tokens serve multiple purposes:

• Governance participation

• Access to premium AI services

• Rewards and incentives for GPU owners

• Development and operational reserves

Token Information and Distribution

• Total Supply: 1.23B XMW

• Max Supply: 1.23B XMW

• Circulating Supply: 823.7M XMW

Distribution:

• Team & Advisors: 15% (9-month cliff, 18-month monthly vesting)

• Seed Investors: 8% (unlocked)

• Strategic: 1% (monthly vesting over 1 year)

• InfoSec Team: 1% (monthly vesting over 1 year)

• Treasury: 25%

• Liquidity: 50%

At the Token Generation Event (TGE), 58% of tokens enter circulation to foster an active and engaged community.

Ecosystem and Features

Morphware combines AI services and cryptocurrency mining, creating a dual revenue model.

Key ecosystem features:

• Sustainable, renewable energy-powered infrastructure

• Decentralized network for scalability and security

• Token-based governance for community-driven development

• Credit-based pricing for resource usage

• Access to advanced AI tools for researchers and enterprises

Morphware aims to make large-scale AI model training accessible, cost-effective, and environmentally responsible.

Official Links

• Website
• Twitter
• Telegram
• Linkedin

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Ayrıca yatırımcılar bunun karşılığında TAO token ile ödüllendirilerek sürdürülebilirlik kazandırılıyor.

What is Bittensor?

Bittensor is a protocol designed as decentralized ML, also known as distributed artificial intelligence. Since it is open source and built on a blockchain, its use cases have significantly expanded.

We can explain the benefits of Bittensor’s open-source nature as follows:

By connecting different data, models, and compute resources around the world, it turns information production (model outputs) into a meta-market where participants query each other’s outputs, rank each other according to model performance, and distribute TAO tokens to those who produce value.

The protocol aims to create an ecosystem that economically links both the producers who contribute to models and the consumers who use the produced information. This objective is actually quite important.

You may also like: Two Critical Resistances for a Peak in Bitcoin: Watch These Levels!

How Does Bittensor Work?

We can examine Bittensor’s operational stages under four different headings.

1) Peer-to-peer models and data flow

What we know as nodes are referred to here as peers. Each peer in the network holds its own model and dataset and performs operations accordingly.

2) Ranking and the Weight Matrix

Each peer measures the value of signals produced by other peers and maps this into a weight matrix. This matrix is accepted as a central indicator of who is producing valuable information.

3) Consensus Function and Collusion Resistance

Bittensor does not view this as just a voting process. The project uses a combination of weights and staking to produce a term called consensus (C). With this term, it measures whether a peer has achieved a network majority trust indicator and determines reward distribution accordingly.

4) Operation of Network Processes

There is a training loop operating within the network. There is a flow and the model of this flow is as follows:

dataset definition → batch broadcast → collection of peer outputs → local model update via backprop → weight update → on-chain update of weight/ bond / stake

The chain records these measurements and the token minting and distribution, thereby providing trust.

What is Bittensor’s Goal?

The aim is to democratize AI production and reduce dependence on larger centralized players. Enabling small teams or individuals to commercially monetize their models is also among the primary goals. In fact, creating a continuous open market makes a lot of sense for Bittensor. This way, a structure can be established that produces measurable outputs that can be priced as “intelligence as a commodity.”

Who Founded Bittensor?

Although there is no single definitive source, the co-founder who has been involved in the project for a long time and has a strong voice in many places appears to be Jacob Robert Steeves and Ala Shaabana.

Who Are Bittensor’s Investors?

The Bittensor ecosystem has clearly attracted the attention of many institutional and VC investors after the token was launched and the project grew. Major crypto investors such as Digital Currency Group, Polychain, and Pantera are also positioned here.

$TAO Tokenomics

The maximum supply of TAO token is limited to 21 million, similar to Bitcoin. Currently, a total of 10.39 million units are in circulation.

Official Sources

• Website
• White-Paper
• X Account

For the latest cryptocurrency news click here

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What is MCP?

MCP (Model Context Protocol) is an open standard designed to connect AI models and assistants with external tools and data sources. Launched by Anthropic in November 2024, MCP enables AI models to generate more accurate and relevant responses. It removes the need for custom code for each data source, allowing AI systems to dynamically access external resources.

How MCP Works:

• MCP Client/Host: AI models like Claude or GPT that make requests.

• MCP Server: Provides access to files, databases, APIs, and other functionalities.

• Communication: Supports bidirectional communication, allowing data retrieval and actions such as updating documents or sending emails.

What is DeMCP?

DeMCP serves as a decentralized MCP network bridging AI and Web3. It provides open-source MCP services for developers, a deployment platform with commercial revenue sharing, and one-stop access to LLMs. With USDT and USDC support, it enables global developers to join the ecosystem easily. Combined with TEE and blockchain, DeMCP redefines MCP security and reliability, accelerating the growth of the Agent industry.

How the Project Works

DeMCP connects AI models and LLMs seamlessly through the SSE proxy layer and MCP services. TEE-based security and blockchain registration ensure service reliability. Developers are incentivized with token rewards and revenue sharing to provide high-quality MCP services.

• Decentralized Validators: Nodes in the network validate transactions and maintain cross-chain message integrity. Validators stake DMCP tokens to secure the network and earn rewards.

• Cross-Chain Messaging Protocol: DeMCP receives, validates, and securely transfers messages between different blockchains, covering asset transfers, smart contract calls, and data sharing.

• Open-Source Development: Enables community audits and contributions to security and development.

• Security: Uses advanced cryptographic methods and staking mechanisms to prevent double-spending and tampering.

Governance

Governed by DMCP token holders, the governance model allows the community to decide on protocol updates, fee adjustments, new chain integrations, and critical parameter changes. Token holders vote using their tokens, with weight proportional to holdings, moving the project toward a fully decentralized DAO.

Roadmap

Q2 2025 – Phase 1: SSE Proxy Layer & Centralized MCP Registry

• Convert Stdio communication to SSE

• Traffic control and request limiting

• “Zero code” integration for MCP services

• Centralized registry for metadata, health checks, and basic evaluation

Q3 2025 – Phase 2: TEE Secure Environment & Blockchain Registry

• Deploy MCP services in TEE with remote attestation and encrypted data transfer

• Blockchain-based service registry, identity verification, and reputation system

Q4 2025 – Phase 3: Fully Decentralized MCP Blockchain Platform

• High-speed, low-latency MCP-specific blockchain

• TEE verification integrated with on-chain service registration

• Token-based rewards and governance mechanisms

Token Utility

• Incentives and revenue sharing for MCP service developers

• Ecosystem fund support and rewards

• Affordable and fast access to LLMs and AI services

Token Details & Distribution

• Official Token: $DMCP

• Total Supply: 1,000,000,000 DMCP

• Max Supply: 1,000,000,000 DMCP

• Circulating Supply: 850,000,000 DMCP

Distribution:

• Fair Launch (Pump.fun): 85%

• DeMCP Ecosystem Fund: 10% (developer and user incentives)

• Team: 5% (future expenses and rewards)

Ecosystem & Features

• “Zero code” integration via SSE proxy

• TEE-based security and remote attestation

• Blockchain registry ensures transparency and reputation

• Developer-focused revenue sharing and token incentives

• Up to 30% discounted access to LLMs and AI services

• Global crypto payments support

DeMCP aims to bridge AI and Web3 by creating a decentralized, secure, and developer-friendly MCP ecosystem.

Official Links

• Website
• Twitter
• Telegram
• Docs

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Team / Founders

The Gensyn founding team consists of scientists and engineers with extensive experience in AI research and distributed computing. They develop the protocol to improve the scalability and verifiability of deep learning models. The company initially operates as Gensyn Limited and functions fully remotely.

Founding Partners

Harry Grieve: Co-founder of Gensyn, an entrepreneur experienced in AI and blockchain.
Ben Fielding: Co-founder of Gensyn, specialized in deep learning and protocol architecture.

Investors & Key Partners

Gensyn has raised $50.6M across multiple rounds, supported by leading AI and crypto investors. The Seed round was led by Eden Block, and the Series A round by a16z Crypto. Notable partners include Protocol Labs (IPFS integration), Polkadot/Kusama (parachain), and a16z Crypto (strategic partnership).

Project Concept

Gensyn provides a network to train and run large-scale machine learning models without relying on centralized servers. Participants can contribute idle computing power, forming a global computational pool. This model accelerates decentralized AI development while reducing costs.

How It Works

The protocol consists of four layers:

• Consistent ML Execution: Ensures the same input produces the same output across all devices.

• Trustless Verification: Tasks are independently verified; errors are detected and resolved.

• Peer-to-Peer Communication: Workloads are efficiently distributed among devices.

• Decentralized Coordination: Participants are assigned, incentives distributed, and payments automated.

Participants are categorized into four roles: Submitters, Solvers, Verifiers, and Whistleblowers. Tasks are monitored through training and verification steps.

Governance

Post-TGE, Gensyn will be governed in a decentralized manner. Initially, technical development is managed by Gensyn Limited. Meanwhile, the Gensyn Foundation represents protocol interests and issues tokens. Governance is conducted via an elected council using on-chain proposals and referendums. Early council members are core team and early community members, gradually moving toward decentralization. Additionally, the foundation manages a treasury funded by a small percentage of task fees to support ongoing protocol and ecosystem development.

Roadmap

• Testnet: Core technology is tested; early participants are rewarded.

• Canarynet: Beta on Kusama parachain, using canary tokens for economic testing.

• Mainnet: Full-featured, public network on Polkadot parachain with mainnet token.

Token Info & Distribution

Token allocation and total supply are determined at TGE. Tokens are primarily used for network transactions and task payments. Gensyn supports distributed ML experiments through products like RL Swarm, BlockAssist, and Judge. The ecosystem focuses on research, community, and collaboration.

Key Features

• Decentralized and open-source

• Globally scalable ML computation

• Low-cost, transparent, and verifiable AI training

• Secure, economical Ethereum rollup-based network

• Automated incentives and payments for participants

Participant Roles

• Submitters: Provide tasks and pay for completed work.

• Solvers: Train models and generate proofs for verification.

• Verifiers: Duplicate and check Solvers’ proofs, linking training to deterministic computation.

• Whistleblowers: Audit Verifiers and can claim rewards for detecting errors.

Ecosystem

Gensyn serves as a foundational infrastructure for ML computation. Applications include CodeAssist, RL-Swarm, and SageMaker-like abstractions. Integrations support Polkadot parachains and IPFS. The community participates via Discord and GitHub, running nodes to contribute. The foundation funds research and data labs. Long-term, Gensyn aims for collective ownership of global AGI while monetizing idle compute to reduce carbon footprint.

Gensyn establishes a foundational layer for Web3 by making decentralized ML computation widely accessible. Consequently, the network supports scalable, collaborative AI model development, enabling humanity to collectively advance machine learning.

Official Links

• Website
• Twitter
• Discord

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Core Objective:

To build tomorrow’s AI computing stack by offering a sophisticated AI infrastructure, including AI Studio, foundation models, sector-specific nodes, and AI-powered end applications.

Planck Network Team & Founders

• Founders: Diam Hamstra (CEO), Rohan Talwadia (CTO), German Ramirez (CMO)

• Previous Experience: Google Cloud, Nvidia, Coinbase, Polkadot, NEAR, Decentraland, Techstars

• Highlights: Diam Hamstra is the former founder of EstateX; Rohan Talwadia is a Google Cloud alumnus with expertise in AI tools and NFT infrastructure.

• Other Key Members: German Ramirez (CMO), Michael Gord and Victor Rollman (Board & Investors)

• Locations: Dubai, Netherlands, BVI, Panama

Investors & Strategic Partnerships

Planck Network has strong financial and strategic backing:

• Backers: Brock Pierce (USDT co-founder), Scott Walker, GDA Capital, DePIN X, among others

• Strategic Partners: Microsoft, AWS, Nvidia, Chainlink

• Notable Stats: Over $60 million invested in distributed H100s, H200s, and B200s GPUs

• Platform Revenue: Exceeds $1 million

Project Concept & How It Works

Planck operates with a modular Layer-0 (Planck₀) and a compute-native Layer-1 (Planck₁), optimized for AI workloads, agent economies, and independent application chains.

• Planck₀: Modular Layer-0 for AI-focused L1s, rollups, and DePIN projects. Provides shared security and interoperability.

• Planck₁: GPU-based sovereign L1 chain supporting model training, inference, and payments.

• GPU Console: Decentralized bare-metal GPU cloud hosted in global Tier-1 data centers.

• AI Studio: Platform for foundation model training, fine-tuning, deployment, and hosting.

Governance

• On-Chain DAO Launch: Scheduled for September 2025 to enable decentralized governance and community participation in decision-making.

Token Information

• Token Name: Planck

• Ticker: $PLANCK

• Total Supply: 500,000,000

• Network: ETH, AVAX, BNB, SOL, TON (default for airdrops and CEX operations)

• Planck Chain Uses: Staking, PoC, PoD rewards

$PLANCK Token Utilities

$PLANCK powers the Planck Network by securing the network, enabling compute payments, and incentivizing participants. Key uses include GPU staking and co-staking, validator and node rewards, access to AI Studio and GPU Console, fee discounts, launchpad participation, ecosystem grants, security bonding, L1 coordination, and cross-chain settlement.

Token Distribution

• Emissions: 30%
• R&D & Ecosystem: 20%
• Core Team: 18.9%
• Liquidity: 13%
• Community: 4.5%
• Pre-TGE Staking: 4%
• Series A: 3.8%
• Seed: 3.6%
• Pre-Seed: 0.5%
• Partnerships: 1%
• KOL: 0.4%
• Public Sale: 0.3%

Key Features

• Cost Efficiency: Up to 90% cheaper GPU usage, pay-per-use, auto-scaling

• Security & Scalability: PoUW consensus, shared security, Rust-based V2

• AI Tools: API calls (Llama-3), real-time inference, custom training, fine-tuning, model hosting

• Use Cases: Fraud detection, customer support, medical diagnostics, product recommendations, sentiment analysis

• Tokenized Infrastructure: GPU staking eliminates hardware requirements

• Interoperability: Multi-chain bridges and on-chain orchestration

Planck Roadmap 2025–2026

• Oct 28, 2025: TGE; GPU staking, co-staking, and $PLANCK trading begin.

• Post-TGE: GPU rental payments, on-chain compute, and staking rewards start. AI Studio and GPU Console credits go live.

• Q4 2025: Planck₁ Mainnet (independent L1) launches; VIA Labs x Planck bridges active. Planck₀ Testnet starts.

• Q1 2026+: Planck₀ Mainnet (L0) launch; ecosystem expansion, enterprise compliance (ISO 27001, SOC 2 Type II, GDPR), and Agent Economy growth.

• Nov 12, 2025: $PLANCK TGE, KuCoin & Bybit listing, and Mainnet launch.

Official Links

• Website
• Twitter
• Telegram
• Discord

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The main goal of the project is to overcome traditional “siloed” AI solutions dominated by large industrial entities, which often limit transparency and accessibility. Allora maximizes connections between data, algorithms, and participants to solve this problem.

Team and Founders

Allora Network is a New York-based company founded in 2024.

• Nick Emmons: Co-Founder & CEO

• Kenny Peluso: Co-Founder

The development team includes engineers and researchers with experience in large-scale blockchain and AI infrastructure, including contributions to projects such as Chainlink, LayerZero, and Consensys. Technical paper contributors include J. M. Diederik Kruijssen, Nicholas Emmons, Kenneth Peluso, Faisal Ghaffar, Alexander Huang, Steven N. Longmore, and Tyler Kell.

Investors and Strategic Partners

Allora is supported by well-known and experienced investors:

• Polychain Capital

• Framework

• CoinFund

• Blockchain Capital

Project Concept

Allora aims to produce the best possible outcomes without relying on a single AI model. The platform continuously improves using data, model outputs, and insights contributed by participants.

How the Project Works

The Allora network generates and distributes AI predictions in a decentralized way, consisting of a Hub Chain (central coordination layer) and Topic subnets.

The network operates across three layers:

• Inference Consumption Layer: Enables predictions to be consumed and used.

• Forecasting & Synthesis Layer: Worker models generate predictions, estimate the accuracy of other models, and synthesize results into a single optimized output.

• Consensus Layer: Manages participant rewards and ensures network security.

Participant Roles:

• Workers: Generate predictions and estimate other models’ performance.

• Reputers: Verify prediction accuracy and maintain network security.

• Consumers: Request predictions from the network and pay with ALLO tokens.

• Hub Chain: The central coordination layer organizing the network.

This structure allows Allora to combine multiple models to produce more accurate and reliable results.

Governance

The network features decentralized governance, allowing token holders and contributors to vote on proposals and platform policies.

Allora (ALLO) will be listed on the Binance Alpha platform on November 11, 2025. Users can track rewards and purchase opportunities via the Alpha Events page.

Roadmap

The 2024-2025 roadmap covers the transition from testnet to mainnet and network expansion:

• Testnet Launch (2024): Workers, models, and topics tested; 692M+ inferences generated.

• Tools & Integrations (2024-2025): Model Forge competitions, Builder Kit for quick worker deployment, and API/oracle integrations.

• Mainnet Launch (Nov 11, 2025): First topics live; rewards and migration begin.

• Expansion (2025+): New use cases (sentiment analysis, DAO governance), full on-chain governance, and additional partnerships.

ALLO Token Use Cases

ALLO tokens incentivize participation and reward contributors:

• Rewarding model developers and data providers

• Governance voting

• Payment for services and access

• Staking and network security

ALLO Token Supply

• Total Supply: 1 billion ALLO

• Max Supply: 1 billion ALLO

• Circulating Supply: 200.5 million ALLO

ALLO Token Distribution

• Early Backers: 31.05%

• Network Emissions: 21.45%

• Core Contributors: 17.50%

• Foundation: 9.35%

• Community Pool: 9.30%

• Ecosystem & Partnerships: 8.85%

• Allora Prime Staking Rewards: 2.50%

Ecosystem

Allora aims to democratize AI innovation across a global participant base. Key use cases include:

• Finance & Trading: Real-time analysis using multiple models for better predictions and risk management.

• Healthcare & Legal: AI applications that respect data privacy and security.

• SMEs & Analytics: High-performance AI outputs without complex infrastructure.

• Innovation & Collaboration: Peer-to-peer collaboration among researchers, developers, and small businesses.

Official Links

• Website
• Twitter
• Telegram
• Discord

You can also freely share your thoughts and comments about the topic in the comment section. Additionally, don’t forget to follow us on our Telegram, YouTube, and Twitter channels for the latest news and updates.

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