TAO Subnets Guide

The only site showcasing the 128 subnets/companies of Bittensor ($TAO) — giving you complete visibility and full tracking of the entire ecosystem

Bittensor isn’t just about AI — it’s reinventing how enterprises create value and operate.

Picture it this way : Subnet = company, Miner = employee, Validator = manager — that’s the lens for the table.

id	Subnet / Company	What does the Subnet / Company do ?	Annual Revenue (estimate)	What does the miner / employee do ?	What does the validator / manager do ?	What is the goal of the Subnet / Company ?
17	404—GEN	Generates 3D models from prompts (text, images). Aims to democratize 3D creation for games, AR/VR, etc.	Does not communicate about their income.	Envoie des tâches, reçoit les rendus et note la qualité.	Sends tasks, receives renders, and rates the quality.	Make Gen 404 the first decentralized 3D studio, capable of generating custom virtual worlds in seconds and opening immersive creation to everyone.
80	AI Factory	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
21	Any-to-Any	Orchestrates an open multimodal AI competition: it evaluates and ranks all-to-text and voice-to-voice models through GAE and a public leaderboard.	Doesn’t generate revenue yet.	Mixes its tools (LLM, vision, image/video generator) to produce text, image, or audio, aligning its stack with the I/O required by the benchmark.	It runs standardized benchmarks (GAE) on the submitted models to determine which miner is the best.	Develop an open-source, general multimodal AI as a common platform toward AGI, demonstrating that decentralized research can match large corporations.
1	Apex	Allows clients/users to use AI models while producing MORE RELEVANT and faster responses than standard AI models.	Does not communicate about their income.	Provides GPU power to the network and runs the requested AI models by fine-tuning them for more sophisticated responses than usual.	Evaluates the miners (quality, latency, sources) and assigns the weights that determine the TAO rewards for the miner.	To produce BETTER/MORE RELEVANT and faster AI responses than “raw” AI (LLM) models.
37	Aurelius	Provokes and captures LLM errors, using them as labeled data to improve model safety (think bug-bounty for AI).	Does not communicate about their income.	It makes the AI stumble: creates prompts to provoke an error, records and structures the case, then submits it. If the error is verified/useful, it gets rewarded.	It replays and verifies the submitted cases (same model/settings), confirms that the error is real/reproducible, then accepts or rejects the example.	To build a decentralized bug-bounty system for AI that detects, verifies, and converts LLM mistakes into actionable fixes for safer, well-governed models.
59	Babelbit	Near-instant voice-to-voice translation service.	At the development stage.	The miner listens to your voice, understands it, translates it, and speaks it back in the other language — very quickly, clearly, and flawlessly.	The validator times the speed, checks the quality and stability of the translations, then gives higher scores to the best performers.	To become the reference for real-time voice-to-voice translation: ultra-low latency, high accuracy, and efficient (a bit like AirPods today).
93	Bitcast	Connects content creators (on YouTube) directly with brands — faster and cheaper than the current system.	200 000 $	Create YouTube videos following brand briefs (the brands are the clients).	Ensure that YouTube videos comply with the various brands’ briefs.	To become the largest marketing agency in the world — saving time for both YouTubers and brands.
16	BitKoop	Offer verified discount coupons to BitKoop app users (currently mostly for Shopify stores).	At the development stage.	Collects real promo codes from Shopify stores and submits them, including all details.	Verifies the codes through the app (officially, without proxy), rates them, and distributes rewards based on the size of the promo/discount.	To become the leading coupon platform: covering Shopify, WooCommerce, and others, ensuring reliable codes (≈90–95%), and monetizing access to these codes.
34	Bitmind	Detect deepfakes and AI-generated content to preserve media reliability.	1 000 $	Analyzes each image with their trained detectors; multiple miners process the same image to spot generation artifacts and aggregate a reliable verdict.	Validators arbitrate and finalize the verdict. They compare the results from multiple miners on the same image and establish the consensus: deepfake or not.	BitMind aims to be the anti-deepfake shield: protecting the integrity of images worldwide so everyone can trust what they see, thanks to an AI safety net.
15	BitQuant	Platform of “quant” agents (using math, data, etc.) for analyzing crypto/DeFi markets (research, signals, portfolio/risk assessment).	Does not communicate about their income.	Creates/runs a quant agent (crypto/DeFi analysis, signals, strategies).	Evaluates miners’ outputs (accuracy, usefulness, freshness, format consistency).	Create the best “quant” agents in the world for crypto/DeFi market analysis.
60	Bitsec	Detect the software vulnerabilities of an ecosystem or project (currently in Bittensor to strengthen the security of the subnets).	Does not communicate about their income.	Analyze the code with AI tools to identify security flaws and report potential vulnerabilities.	Submit code for auditing and evaluate the quality of the reports.	To become the leading solution for code auditing and expand its scope beyond Bittensor.
20	Bounty Hunter	AI competition platform: rewards with bounties and pays only the models/code that win on benchmarks (BFCL, SWE-Bench, etc.).	Doesn’t generate revenue yet.	Competitor who submits models.	Runs miners’ models on benchmarks and returns the scores.	Put Bittensor at #1 on the leaderboards and prove the value of decentralized AI.
35	Cartha	Crypto DEX (decentralized exchange / crypto broker).	At the development stage.	Lock capital (USDC) into on-chain “vaults” to provide liquidity across different trading pairs.	Manage market logic and security (hosts smart contracts, validates USDC deposits, positions, PnL, liquidations, etc.).	Build a high-liquidity DEX covering currencies, crypto, and commodities.
87	CheckerChain	Tackles the problem of unreliable online reviews and ratings, often left by haters (especially in crypto topics like exchanges/brokers, etc.).	Does not communicate about their income.	Analyzes and evaluates reviews using AI models to detect fakes, calculate trust scores, and generate relevant summaries.	Verifies the reliability of analyses, maintains on-chain transparency, and adjusts system parameters.	Aims to build a next-generation review platform that is self-learning, transparent, and incorruptible by haters.
84	ChipForge	ChipForge democratizes and decentralizes chip design by transforming the way integrated circuits are created.	At the development stage.	Designs and submits optimized layouts to address specific technical challenges.	Evaluates the designs using EDA tools and measures their performance.	Accélérer l’innovation dans l’industrie des semi-conducteurs.
64	Chutes	Allows clients/users to use open-source AI models at the lowest price on the market.	5 000 000 $	Provides GPU power to the network and runs the requested AI models for the clients/users.	They monitor the service quality and work efficiency of the miners.	To become the leading decentralized open-source AI platform, with the lowest cost on the market.
45	Coming Soon	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
13	Data Universe	Builds a universal database for AI: collects, aggregates, and stores large-scale data (social networks, web, public databases).	Currently serves mostly as infrastructure for the Bittensor ecosystem. (sn4 sn9)	Collects data: they crawl the web and public APIs to extract text, images, stats, etc., then store and summarize this information in structured formats.	Acts as quality controller and curator. It verifies that the data collected by miners is relevant, non-redundant, and accurate.	To build the largest decentralized data repository for AI, open to everyone: a data layer where any model or app can draw from to train and improve.
58	Dippy Speech	Generates AI voices for use in its social application.	Subnet in pause from august 2025.	Évalue la qualité, le naturel et la cohérence des voix générées.	Evaluates the quality, naturalness, and consistency of the generated voices.	Offer an immersive voice solution for games, virtual companions, and interactive assistants worldwide.
11	Dippy Studio	Social AI application (5M users) that allows users to chat and interact with unique virtual (AI models) characters.	Does not communicate about their income.	Tourne ou entraîne un modèle d’IA incarnant un personnage spécifique, utilisé directement par les utilisateurs de l’application.	Validators ensure the quality of the subnet by testing the AIs so they remain coherent, credible, and safe, providing a smooth and reliable experience.	To become the decentralized role-playing AI platform, offering an infinite number of unique characters and a personalized social experience.
52	Dojo	Create a massive and diverse database maintained by the community (to be used for training AI models).	At the development stage.	It can provide annotated images, audio samples, or text, run algorithms to filter/improve data provided by others, etc.	Evaluate the relevance and quality of the data collected by miners (criteria and labeling).	Aims to create a massive and diverse database maintained by the community to train future generations of AI models.
53	Efficient Frontier	Refine crypto trading strategies.	At the development stage.	Proposes and executes trading algorithms or market predictions.	Backtest and evaluate the performance of the strategies provided by the miners.	Provide investors with the best trading strategies. Help traders make better decisions.
57	Gaia	Predict the weather (short/medium term) to help us better adapt and protect ourselves.	At the development stage.	Weather forecasting with multiple variables (temperature, wind, precipitation, pressure, etc.) across several regions of the world.	Cross-check with real data, grade each miner (by variable/region), and spot anomalies or manipulation.	Predict the weather to help us better adapt and protect ourselves.
56	Gradients	Democratizes AI model training by making it accessible without technical skills and at low cost.	Does not communicate about their income.	Provides computing power (GPU) and pre-packaged training modules (so users can easily use them).	Coordinates tasks, verifies model integrity, and optimizes training costs.	Make AI model training ultra-simple and highly accessible, with incredible performance.
75	Hippius	Hippius offers decentralized cloud storage: a persistent memory to store large datasets, AI models, their results, etc.	Does not communicate about their income.	Provides storage and data services.	Orchestrates and secures the storage network.	Aims to provide a secure and economically viable distributed storage cloud for all AI applications.
5	Hone	Improves LLM reasoning and raises the scores to increase the percentage of problems solved, the accuracy/logic of responses, robustness, efficiency, etc.	At the development stage.	Builds a pipeline (pretrain/finetune/prompting) that makes an LLM score better on a benchmark like ARC & co.	Runs the benchmarks, checks if there are indeed real gains, and if it is reproducible (score, robustness, efficiency).	To become the leading reference for boosting the reasoning of all LLMs and monetizing this expertise.
90	Inactive	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
89	InfiniteHash	Bitcoin mining.	2 000 000 $
108	Internet	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
9	Iota	Iota decentralizes the pre-training of AI models.	Doesn’t generate revenue yet.	Trains a fraction of the model, then synchronizes/merges with the others and is scored based on the quality/stability of its training.	The validator tests the contributions (performance, reproducibility), assigns scores, and distributes rewards, ensuring the consistency of the global model.	Build the first decentralized training architecture, capable of training open-source models of “giant” size to compete with centralized leaders.
26	Kinitro	Kinitro accelerates robotic intelligence through competitions that reward AI agents for understanding and acting in the real world.	At the development stage.	Miners submit their AI agents in simulated robotics competitions.	They propose specific challenges and then verify the quality of the miners’ responses.	Make Kinitro a global decentralized laboratory for collaborative synthetic data creation, aiming to advance research in robotics and AI.
71	Kora	Create trading agents to continuously assist traders (analysis, signals, adjustments).	Scam until proven otherwise.	Builds a strategy/agent (AI or rules) that emits signals & actions. The better and more stable the net performance (PnL, Sharpe, drawdown), the more it earns.	Evaluates PnL, Sharpe ratio, drawdown, latency, ranks the strategies, and distributes rewards to the best-performing miners.	Create high-performing trading agents, measured on real results, to provide reliable autonomous strategies that clients/traders can use.
114	Level 114	Pays servers/games based on actual usage: active players, playtime, latency. Like an energy meter — the more stable and useful your service, the more you get paid.	At the development stage.	The miner operates a public game server (e.g., Minecraft), maintaining uptime/latency/stability. They receive TAO based on quality and usage.	The validator measures and rates the miners’ usage quality — and thus the servers/games — based on active players, playtime, uptime, and latency.	To become the best decentralized gaming infrastructure and publisher — rewarding real utility across multiple games.
77	Liquidity	Connects Bittensor to global DeFi by rewarding liquidity provision on DEXs, thus facilitating the inflow and outflow of external capital.	Does not communicate about their income.	Provides funds to DeFi pools and optimizes its positions.	Verifies liquidity provision and manages multi-chain contracts.	Strengthen the accessibility and liquidity of TAO and subnet tokens on external markets to attract investors and capital to the Bittensor ecosystem.
51	Lium	Setting up a decentralized GPU marketplace. Lium.io works like an ‘Airbnb for GPUs.	5 000 000 $	Shares their machine’s power (GPU, TPU, etc.) on the Lium.io marketplace, specifying its characteristics (card model, performance, desired price, etc.).	Verifies that miners aren’t lying to trigger payment, then balances supply and demand by routing tasks to the right GPUs and applying prices.	To become the “decentralized AWS” for AI — renting computing power on demand, then adding storage and RAM, and continuously attracting more users.
25	MainFrame	Discover drugs faster and cheaper, better understand diseases, and design useful proteins.	Does not communicate about their income.	Lends its computing power (GPU) to simulate protein folding and propose the most optimal configuration (and, if requested, perform docking).	Compares and evaluates the miners’ results, selects the best configuration, then determines the rewards and returns the final structure.	Accelerate and democratize R&D: fold proteins and test molecules through shared computers, to find the best candidates (drugs) faster and cheaper.
123	MANTIS	Generate high-frequency trading signals for BTC (algorithmic/AI-driven).	At the development stage.	Produce and run an algorithm that predicts BTC directionally at +1h every 5 min. Optimize accuracy and speed of the signal.	Measure the accuracy of the +1h BTC signal, the latency and stability (backtests), rank the miners, and distribute the rewards.	Not Live yet.
73	MetaHash	Allows TAO whales who invest heavily into subnets to avoid dumping an alpha token by selling a very large amount.	Does not communicate about their income.	Provides the liquidity needed to make such deals. (learn more by clicking)	The validator monitors and evaluates the deals. (learn more by clicking)	To be the decentralized OTC desk for Alpha/Tao fast without dumps, discounted purchases, profitable treasury (buybacks/yield), and lasting stability for subnets.
68	MetaNova	NOVA accelerates and democratizes drug discovery.	Does not communicate about their income.	Explores the chemical space, generates molecular candidates to propose chemical structures and solve problems.	Evaluates the molecules through a shared oracle, ranks the proposals, records discoveries on-chain, and orchestrates the project’s progress.	Reinvent pharmaceutical discovery to save lives — making it faster, open, collaborative, and globally accessible.
86	MIAO	Audio generation focused on animal sounds — blending AI and culture: “make any sound meow.”	Does not communicate about their income.	Runs audio models to classify or transform sounds, producing meows or animal noises from various inputs.	Evaluates the accuracy and creativity of the audio outputs and routes requests to the best-performing miners.	Unite a community around a creative and fun use case while opening Bittensor to audio processing.
19	Nineteen	Inactif	Inactif	Inactif	Inactif	Inactif
23	Nuance	Publie sur X des posts factuels et “nuancés” liés aux sujets actifs.	Doesn’t generate revenue yet.	Posts factual and “nuanced” content on X related to active topics.	Fetches these posts via the API, filters/validates the topic and quality, and measures verified engagement.	To become the incentive layer for debate: sustainably reward factual/nuanced content on X, expand topics, and build a public reputation graph that onboards users to TAO.
66	Oceans	Improves the liquidity of Bittensor tokens to reduce slippage, stabilize prices, and strengthen investor confidence.	Scam until proven otherwise.	Acts as liquidity providers, depositing funds into prioritized pools.	Controls the allocation of liquidity.	To become a “decentralized central bank” for the Bittensor ecosystem that stabilizes the markets.
2	Omron	Allows clients/users to use AI models with cryptographic proof (zk-ML) that the response comes from the correct model.	At the moment, emissions are carrying it because there’s no (real) demand.	Provides GPU power to run the requested AI models as well as the cryptographic proof (zk-ML) that the response comes from the correct model.	The validator verifies the zk-ML proofs of the responses (correct model, correct input), measures performance/latency/availability.	Build an AI platform by standardizing inference proof (zk-ML) for responses that are verifiable, traceable, usable by apps or companies. So that they know they are on the correct AI model.
49	Polaris	Automates DeFi on Solana: AI agents detect opportunities (swap, staking, LP, lending) and execute according to your rules to optimize yield — risks still apply.	At the development stage.	Host and train software agents that automate tasks on Solana.	Measure the performance of these automation agents — such as their success rate in executing transactions and error-free DeFi account management.	Autonomous AI agents execute and optimize on-chain DeFi (swaps, staking, lending) according to rules/risks, seeking yield while minimizing errors and latency.
55	Precog	Generate high-frequency trading signals for BTC (algorithmic/AI-driven), package them into APIs/dashboards, and market them to traders.	Does not communicate about their income.	Produce and run an algorithm that predicts BTC directionally at +1h every 5 min. Optimize accuracy and speed of the signal.	Measure the accuracy of the +1h BTC signal, the latency and stability (backtests), rank the miners, and distribute the rewards.	Develop top-tier high-frequency (+1h horizon) directional market prediction algorithms on BTC, then other crypto.
8	Proprietary TradingN	Aims to democratize access to quantitative trading signals that were previously reserved for private funds.	Does not communicate about their income.	Develops and deploys predictive trading bots that analyze financial markets.	Evaluate the financial performance of the bots by measuring their risk-adjusted profits.	Aims to provide everyone with trading strategies once reserved for the financial elite (by monetizing them).
48	Quantum Compute	Sets up a marketplace for renting quantum computing capacity, real or simulated.	At the development stage.	Provide quantum computing time — either through software emulators of quantum circuits or by offering access to real quantum hardware.	Verify the accuracy of the quantum computing results provided by the miners.	Accelerate advanced AI algorithms and prepare the community for the benefits of quantum computing in machine learning.
63	Quantum Innovate	Quantum Innovate democratizes access to quantum computing by enabling simulations to run on classical hardware.	At the development stage.	Runs quantum simulations and returns the results as a quantum computer would.	Verifies the accuracy of simulations through statistical comparisons, consistency tests, and sampling.	Create a decentralized platform for quantum research and experimentation that’s accessible to all.
47	Reboot	Algorithms help robots see and act through synthetic data (simulated images) before operating in the real world.	At the development stage.	Run robotic AI models (control, object recognition, etc.) and share the resulting data or strategies.	Evaluate the performance of miners’ robotic models by testing the accuracy of their perceptions or the effectiveness of their actions.	Pool advances in robotic AI to accelerate the development of distributed autonomous robots and generate rich training data for robotics.
61	RedTeam	Used to solve real-world anti-bot/anti-fraud problems: a company posts a challenge/bounty.	At the development stage.	Submit attack and detection algorithms (code/models) to the challenge/bounty, and optimize their accuracy and robustness.	Run the algorithm in a sandbox environment; measure efficacy — detection rate, false-positive rate, and novelty detection.	Open R&D network against bots/fraud, where companies pay to post challenges/bounties and get the best models.
46	RESI	Turns U.S. real-estate data (price, size, bedrooms, year, photos, etc.) into a publicly accessible, real-time database.	At the development stage.	Collect and update real estate data.	Verify the accuracy and completeness of the data provided by miners by cross-checking it with reliable sources.	Open this data (150M U.S. properties targeted at launch) to end the dominance of proprietary property databases.
110	Rich Kids	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
62	Ridges	Build the best AI coding agent in the world.	Commercial launch of their agent on October 30, 2025.	Create a better coding agent than the previous miner. They improve every day.	Test the Code agents on multiple recognized benchmarks to determine which miner builds the best agent.	To become the ultimate coding agent worldwide.
76	SafeScan	Safe Scan democratizes early skin cancer (melanoma) screening — free and accessible via smartphone.	At the development stage.	Miners run AI models to analyze medical images.	Validators test the models with known data.	Save lives by making skin cancer screening fast, reliable, free, and accessible worldwide.
44	Score	Sports statistics more reliable and finer than humans, fewer errors, detection of young talents and better scouting, all automatically and in real time.	At the development stage.	Ingests video feeds and uses computer-vision models to detect and track the ball, players, and events frame by frame, producing accurate stats.	Verifies and merges miners’ analyses to ensure accuracy. Samples frames/events and checks the consistency of detections.	To become the official reference for statistics — first in gaming/esports, and eventually the authority capable of awarding major trophies (up to the Ballon d’Or).
100	Signal	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
41	Sportstensor	Create prediction markets on Polymarket. Example: What will the temperature be tomorrow at 2 p.m.?	At the development stage.	Trades and generates volume on the markets created by Sportstensor.	Checks whether the miner has or has not made trades or generated volume on the market.	Generate revenue by charging fees on miners’/traders’ volume (like a broker).
104	Subnet à Vendre	For sale (in the meantime, they’re burning all miners’ emissions)	For sale (in the meantime, they’re burning all miners’ emissions)	For sale (in the meantime, they’re burning all miners’ emissions)	For sale (in the meantime, they’re burning all miners’ emissions)	For sale (in the meantime, they’re burning all miners’ emissions)
7	SubVortex	Fait tourner un serveur public Subtensor fiable et rapide (donner plus d’entrées au réseau → moins de pannes/plus de connexion).	Free service.	Runs a reliable and fast public Subtensor server (providing more entry points to the network → fewer outages/more connectivity).	Measures and rates the miners’ servers (uptime, latency, errors, etc.).	Ensure reliable, fast, and censorship-resistant access to TAO — for everyone, at all times.
50	Synth	Produce probabilistic forecasts (price distributions, volatility) on BTC +1h at high frequency, package them into services, and sell them to clients/traders.	Doesn’t generate revenue yet.	Designs an algorithm that produces probabilistic forecasts (distribution/volatility) of BTC at +1h (high cadence). Optimizes calibration + speed.	Evaluates probability calibration, distribution/volatility, simulated PnL, and latency; ranks miners and assigns rewards.	Create the best probabilistic market forecasting algorithms on BTC and others, in high frequency (horizon +1h), and monetize them via API/dashboards.
14	Tao Hash	Bitcoin mining.	Does not communicate about their income.	Provides its hashrate (ASICs) and chooses the validator/strategy that suits it. If not satisfied, it can switch to another validator (and thus another strategy).	It aggregates the hashrate, directs it (strategy/pool), measures its value/reliability, and distributes rewards to miners in Alpha/TAO.	To become the decentralized BTC hashrate marketplace: renting, aggregating, pricing, and hedging mining power, with transparent incentives (Alpha/TAO).
10	TaoFi	DEX that allows users to buy Bittensor subnet tokens from Base in a single transaction.	2 600 000$	Provide liquidity on the TaoFi DEX.	It measures the performance of miners providing liquidity and ensures the security of DeFi protocols by maintaining the financial balance of the network.	Bring liquidity and investments into Bittensor subnets.
65	TAOPrivateNetwork	Guarantees free, private, and uncensored Internet access through a decentralized, censorship-resistant VPN network.	At the development stage.	Serves as a VPN relay node, providing bandwidth, diverse IP addresses, and encrypted connections to users.	Selects miners, checks their performance, and monitors service quality.	To become the leading decentralized VPN of Web3, combining privacy, performance, and censorship resistance.
4	Targon	Rents out “confidential” GPUs to deploy AI models with TEE enclave execution and attestation to protect your data.	3 000 000 $	It provides the GPUs (TEE-compatible) and runs your jobs (inference, fine-tuning, training) inside a secure enclave.	Verifies the TEE attestations (that the job indeed ran inside an enclave) and measures the miners’ performance/uptime/latency/cost (of their GPUs).	To become the leading (decentralized) and confidential AI cloud: renting GPUs in TEE with attestation, to serve or train models at competitive cost, low latency, and with protected data.
3	Templar	Templar decentralizes the pre-training of an AI model.	Doesn’t generate revenue yet.	Uses its GPU to train the same model as the others, computes gradients (corrections), shares them with the network, and truly improves the model.	Reviews and tests the miners’ corrections, measures whether the model improves, and rewards TAO based on the actual usefulness of the contributions.	Aims for the decentralized training of a single large open-source model — a “giant-scale” one — to compete with centralized leaders (e.g., ChatGPT).
67	Tenex	Introduces leveraged trading into Bittensor, allowing investors to amplify their exposure to subnet tokens.	Doesn’t generate revenue yet.	Acts as liquidity providers by depositing TAO into the lending pool.	Applies risk rules, monitors positions, triggers liquidations, and participates in protocol governance.	Create a more efficient and attractive internal DeFi market, boosting the growth of TAO subnets.
107	Tigeralpha	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
127	Unclaimed	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
115	Unclaimed 1	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
126	Unclaimed 2	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
112	Unclaimed 3	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
98	Unclaimed 4	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
28	Unknown	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
125	Unknown 10	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
69	Unknown 2	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
74	Unknown 3	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
78	Unknown 4	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
82	Unknown 5	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
95	Unknown 6	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
101	Unknown 7	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
118	Unknown 8	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
119	Unknown 9	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.	Scam until proven otherwise.
85	Vidaio	Democratizes AI-based video enhancement and compression, making “Netflix-quality” accessible to everyone.	Doesn’t generate revenue yet.	Processes videos by running upscaling and compression models, and are rewarded based on rendering quality and speed.	Orchestrates task distribution, checks the quality of processed segments, and reassembles the final videos.	Make high-quality video accessible to everyone and prove that a decentralized AI network can deliver professional-grade multimedia services at scale.
54	Yanez Miid	Simulates fraudulent activity to test banks’ anti-fraud systems, then helps correct any weaknesses.	Does not communicate about their income.	Create end-to-end synthetic identities (profile, activity history, transaction flows) and use them to stress-test banks’ anti-fraud controls.	Verify that the generated synthetic identities and scenarios are credible and useful.	To become the standard for testing and strengthening banks’ anti-fraud/AML systems.
18	Zeus	Predict the weather (temperature for now) more efficiently.	Does not communicate about their income.	They are the weather engines: they run AI/simulation models that ingest temperature, humidity, pressure, satellite images, etc., and produce reliable forecasts.	Collects the data and verifies the models. Adds real weather observations each day to calibrate the network and keep reliable forecasts.	Zeus aims for a new weather standard: better predicting extreme events (heatwaves, floods, etc.) and improving our understanding of the climate.