Tensorplex

Building Infrastructure for Decentralised AI

Other

Description

Tensorplex is a pioneering platform at the intersection of blockchain and artificial intelligence, developed by Tensorplex Labs. It is dedicated to accelerating and democratising AI technology by building essential applications, infrastructure, and tools that leverage decentralised technologies. This approach aims to supercharge AI development and broaden access to advanced AI use-cases for developers, innovators, and the wider community.

The platform offers a comprehensive suite of products to achieve its mission. These include Backprop Finance for trading AI-related tokens like dTAO, Stake for liquid staking of AI tokens, Validator services for securing AI networks, and Dojo for crowdsourcing high-quality human-generated data to accelerate AI model development. Tensorplex also actively engages in open-source LLM training and research, positioning itself as a key partner in shaping the future of decentralised AI.

Key Features

Backprop Finance: Trading terminal for dynamic TAO (dTAO) on Bittensor and a decentralized exchange (DEX) for ERC20 token trading on Bittensor EVM.
Stake: Liquid staking for AI tokens, allowing users to stake $stTAO on Ethereum, the Liquid Staking Derivative of $TAO on the Bittensor Finney network.
Validator Services: Operates validators on Bittensor and other decentralized AI networks to secure AI applications and subnet ecosystems, designed to maximize yield.
Dojo Network: An open platform designed to crowdsource high-quality human-generated datasets for machine learning development and agentic workflows.
TPLX LLM: Development of Large Language Models (Beta) intended for Decentralised Agents and Web3 applications, including AI-powered research platforms and chatbots.
Delegate: A one-stop platform for TAO holders to delegate TAO, receive an APR (e.g., 15%), learn about Bittensor Subnets, and assign weights to preferred subnets.
LLM Training and Research: Conducts research on harnessing Web3 technologies and communities to contribute to the broader AI industry and open-source LLM training.

Use Cases

Developing and deploying AI applications using decentralized infrastructure.
Trading AI-native digital assets such as dTAO within the Bittensor ecosystem.
Participating in the security and consensus of AI networks through token staking and validation.
Generating and accessing high-quality, human-verified datasets for training AI models.
Building and integrating specialized Large Language Models into Web3 applications.
Managing TAO token holdings to earn rewards and influence network governance via delegation.
Facilitating broader access to and development within the Bittensor Ecosystem.