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CZ’s Yzi Labs' Recent Investment: What is Tensorplex?

by BSCN

March 7, 2025

chain

With this funding, Tensorplex wants to accelerate R&D, expand its team, and continue shaping a decentralized AI ecosystem that integrates human intelligence into AI development.

Yzi Labs, led by industry heavyweight CZ (Changpeng Zhao), announces making an investment in Tensorplex Labs. This decentralized AI research and development lab is positioning itself at the crossroads of two transformative technologies—AI and blockchain—by creating decentralized AI solutions that could drive the next evolution in both fields. 

In this article, we explore what Tensorplex is all about, the key products it offers, and the significance of Yzi Labs' investment.

What is Tensorplex?

Tensorplex Labs is a decentralized AI innovation hub focused on leveraging blockchain technology to create more efficient, open, and scalable AI models. The company's primary mission is to democratize AI development by integrating human intelligence into the process of training and refining AI models. 

Through its flagship products, such as Tensorplex Dojo and Backprop Finance, Tensorplex is laying the foundation for a new ecosystem where decentralized AI and blockchain technologies converge.

At the heart of Tensorplex’s work is the vision of creating a more accessible and collaborative AI ecosystem. Through blockchain-powered solutions, Tensorplex aims to transform how AI models are trained, deployed, and evolved, making them more responsive to human input and better aligned with real-world needs.

Why Did Yzi Labs Invest in Tensorplex?

Yzi Labs, a venture capital firm known for backing high-potential Web3 projects, has recently expanded its investment focus to include AI and biotech. With AI technology becoming a critical part of future innovations, Yzi Labs believes decentralization will play a pivotal role in shaping AI's next evolution. Their decision to invest in Tensorplex aligns with this visio

“At YZi Labs, we are bullish on the AI space and believe decentralization will play a key role in its evolution. That’s why we recently expanded our investment focus beyond Web3 to include AI and biotech,” said Andy Chang, Investment Director at YZi Labs. "Tensorplex is pioneering this shift by enabling human expertise to shape AI development in novel ways. This investment strengthens our bet on decentralized AI, and we are excited to support their vision in building a more open and collaborative AI ecosystem.”

The investment, according to Yzi Labs, will help Tensorplex scale its AI applications, infrastructure, and tools, reinforcing the synergy between AI and decentralized technologies. By supporting Tensorplex’s ambitious vision, Yzi Labs aims to play a critical role in advancing decentralized AI and ensuring its growth within a decentralized ecosystem.

The Tensorplex Flagship Products

Tensorplex Labs' flagship products are a testament to the company’s ambition to revolutionize AI through decentralized platforms:

Tensorplex Dojo: The Human API for AI

One of Tensorplex’s most innovative offerings is Tensorplex Dojo, a decentralized Human-AI Co-work platform designed to accelerate the training of AI models. Dojo allows humans to collaborate directly with AI agents in real-time to solve complex problems and complete tasks.

Dojo’s core innovation lies in its Human-in-the-loop AI training, which integrates human feedback into the AI learning process. This collaboration allows the AI to improve its model accuracy and responsiveness, creating a more effective training system than traditional methods. Users who contribute valuable human feedback are incentivized with decentralized rewards, further promoting participation in the AI ecosystem.

Over time, Dojo aims to become a Human API for AI, providing a platform where humans can guide AI systems in real-time. As AI systems grow more complex, this level of collaboration will be essential for fine-tuning and enhancing their capabilities.

Backprop Finance: A DeFi Hub for the Bittensor Ecosystem

Another cornerstone of Tensorplex’s offering is Backprop Finance, a decentralized finance (DeFi) platform built for Bittensor's TAO ecosystem. With Bittensor’s recent Dynamic TAO (dTAO) upgrade, which has shifted emissions from root validators to an open market model, Backprop Finance serves as a one-stop hub for trading and analyzing dTAO tokens.

Backprop Finance provides Subnet dTAO trading and analytics, which empower ecosystem participants to manage their investments within Bittensor more efficiently. Additionally, the platform aims to offer capital solutions powered by EVM smart contracts, which will help expand the subnet economy and increase liquidity across the AI-driven ecosystem.

With decentralized finance becoming an integral part of the AI economy, Backprop Finance can play a crucial role in fostering economic growth within Bittensor’s ecosystem. This platform’s integration of DeFi into the AI landscape will also drive broader adoption of decentralized technologies in the financial sector.

The Bigger Picture: Decentralized AI is Here

TensorPlex’s work is part of a larger movement to decentralize AI development. By leveraging blockchain, the company is creating an ecosystem wher

  • AI models are not controlled by a few companies
  • Data collection is transparent and community-driven
  • AI-generated revenue is fairly distributed

With Yzi Labs’ support, TensorPlex wants to scale its research, development, and adoption efforts, making decentralized AI more accessible to developers, businesses, and the wider crypto community.

Disclaimer

Disclaimer: The views expressed in this article do not necessarily represent the views of BSCN. The information provided in this article is for educational and entertainment purposes only and should not be construed as investment advice, or advice of any kind. BSCN assumes no responsibility for any investment decisions made based on the information provided in this article. If you believe that the article should be amended, please reach out to the BSCN team by emailing [email protected].

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