NeoSoul and Brevis have reached a strategic partnership, focusing on AI trading data privacy and computational verification

NeoSoul and Brevis announced a technical collaboration to explore how to protect sensitive data in AI trading.

As AI Agents take on more specific trading tasks, users' trading methods, preferences, and related data will also enter the product workflow. For individual users and platforms, clear data usage boundaries and explicit computational verification methods are important considerations in the design of such products.

Brevis is a verifiable computing platform based on zero-knowledge proofs, with related technology supporting the processing of historical data from the supported chain, executing specified computations, and verifying computation results through proofs. This collaborative exploration will combine the practical needs of AI trading to study applicable scenarios for the relevant technology.

NeoSoul continues to advance product development around Agentic Trading, refining the AI trading experience for individual users through NeoTrade, and promoting capability openness for platforms and other Agents. The collaboration with Brevis is a progress in NeoSoul's expansion of professional technical cooperation in this direction.

NeoSoul's co-founder stated: "In the future, more and more AI Agents will directly participate in financial markets on behalf of individuals and platforms, and financial infrastructure needs to adapt to a new batch of market participants. Protecting trading strategies and computational verification will become crucial issues that restrict the scaling of Agentic Trading. Our collaboration with Brevis aims to provide the necessary technical foundation for the development of this trend."