Deeplink

Deeplink

Blockchain Services

Introducing Off-chain Data, Computation & Machine Learning into Ethereum.

About us

Deeplink is an Ethereum based deep-learning protocol allowing blockchains to maintain Large Neural Networks on-chain while introducing programmability, machine learning and on-chain data science into blockchains. Protocols can use on-chain Neural Networks and agents to improve efficiency, on-chain execution capabilities and improve security. When the blockchains become mainstream and complex, the underlining blockchain operation, efficiency and infrastructure optimisation will get harder. The abundance of unlabeled on-chain data will enable a new generation of on-chain statistics and predictive modelling. On-chain computational agents will learn to make decisions by trial and error. On-chain agents can be allocated for specific environments (i.e. Uniswap) to develop neural networks by obtaining, collecting and simulating different scenarios to gain foundational knowledge and understanding of use cases, data sets and their participants (e.g. traders/LPs). The larger neural networks can be trained with more and more data, leading to increased performance. The off-chain computation will be provided by the Network Validators & off-chain Computation Providers. All on-chain and off-chain communication will go through Deeplink rollup (ZK) to ensure security, trustless and scalable operation. The protocol owners can access the pre-existing on-chain knowledge/neural networks to better understand their ecosystem, spot inefficiencies, security vulnerabilities, accurate predictions, and improve their core on-chain environments (e.g. improving liquidity construction and slippage). The users can build advanced data models, algorithms, on-chain execution modules, and manage risks. Developers can build ML models, train data for smart contracts, and develop programmable on-chain applications on Ethereum.

Industry
Blockchain Services
Company size
2-10 employees
Headquarters
NSW
Type
Privately Held
Founded
2020

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Employees at Deeplink

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