Gemach DAO is a decentralized finance (DeFi) initiative, inspired by the traditional concept of community-driven mutual assistance. We're crafting a unique ecosystem where Ethereum meets liquidity in ways never before witnessed. Our mission is to dissolve barriers to entry in the world of staking and liquidity provision, making the decentralized world more accessible and rewarding for all participants.

Introducing gBot
Meet our trailblazing bot, Gbot. Designed with the modern trader in mind, Gbot is more than just a tool—it's your DeFi companion. Harnessing the vast potential of AI and blockchain, Gemach X facilitates intuitive trading experiences on platforms like UniSwap. Whether you're setting trade amounts, fetching real-time token prices, or verifying transactions, Gemach X stands ready to assist, ensuring a seamless interaction with the DeFi space. It's not just about efficiency; it's about redefining the trading landscape.

Join Our Journey
As we spearhead innovations in DeFi, we invite you to be part of this exciting journey. Whether you're a seasoned trader, a curious newcomer, or a tech enthusiast, Gemach and Gbot are here to enhance your DeFi adventure.

Gemach

Maker of #GBot, the only self-custodial trading bot. Also offering self-custodial interest-free loans, index funds, & AI companions to generate alpha. $GMAC

Ethereum

Shiba Inu

Chainlink

UNUS SED LEO

Pepe

The Graph

Immutable

Gala

Worldcoin

Pendle

The Sandbox

Aave

Ondo

Maker

Ethena

X2Y2

EYESECU AI

Cosmic Network

xx network

Defactor

AvatarCoin

MyToken

Rubycoin

Humaniq

CoinClaim

Tratok

STIPS

TranslateMe Network Token

Silent Notary

Ignis

Graviocoin

Abyss

RSG TOKEN

BitCanna

CyberVein's big-data solution is based on the PISR (private, interlink, secure, robust) distributed database, database operations are stored on CyberVein blockchain network which runs on a Proof-of-Contribution (PoC) consensus mechanism. The solution is focusing on enterprise-level "blockchain + big-data" customized services.

CVT is the native utility token that is used for:

Storage payment: The data owner pays the corresponding storage fee based on the file size and bandwidth consumed in such a process.

Computing power payment: Payments from user to owner for usage, and remuneration for software developers is going to be exclusively conducted in CVT.

Data exchange: On CyberVein's federated learning platform, the data acquirer trades the data at a price contracted between the two parties for distributed modeling applications.

CROSS NFT issuance payment: Dapp businesses are obligated to pay for Storage and Data Exchange in light of network resources occupied, and may set up CyberVein token as a means of payment to issue NFT or conduct business in accordance to their desired business model.

CyberVein tools include:

PISR Consortium database, creates better data management: through safe and reliable virtual machine operation and maintenance of user data, data is efficiently aggregated for upstream data, and data traceability and tracking are realized to ensure the reliability of data sources and outputs, and achieve cross-level, cross-departmental data sharing to improve the timeliness, diversity, stock and density of data to realize the commercial value of data, and truly solve the problems in data flow.

DAG storage chain, creates safer data storage, with better efficiency, no block confirmation, low transaction fees, and also eliminates miner, supports asynchronous verification and parallel processing of each node, the more nodes, the faster the speed, the stronger the scalability, which leads to better scalability. The database backup on DAG storage chain provides an extra layer of security for businesses.

Cytrix, allows GPU to be shared. Nodes can contribute part of their GPU to the network, in return for compensation through the Proof of Contribution mechanism. The contributed GPU can aid enterprises or individuals in data modeling with federated learning.

Federated Learning Platform, enables data to be monetized. Federated Learning is a distributed machine learning workflow. The datasets are first trained locally, and the data of all parties is kept locally, without revealing privacy or violating regulations.  Individual terminals return trained models to the server to create a shared model. Effectively protect data privacy and security, solve the problem of information silo, and thus realize the value of data. The platform will also provide algorithms to support data modeling operations by enterprises and individuals.