Lagrange, a crypto platform with verifiable calculation and ZK Proofs, works together with IQ AI, a popular platform that develops tokenized AI agents. The cooperation substances are targeted to include the newest machine learning of zero knowledge in the agent tokenization platform of IQ AI. The platform announced this development in a recent X -Thread.
1/ another partner joins the Deepprove Army: @iqaicom, a pioneer in the agent tokenization trench
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– Lagrange (@lagrangedev) March 25, 2025
Lagrange works together with IQ AI to stimulate the tokenization of AI agents
Lagrange’s collaboration with IQ AI integrates the zero knowledge of machine learning options of the first in the agent-tokenization platform of the latter. This indicates an important step in improving transparency, verifeability and safety of the AI-led governance and financial processes. IQ AI works as a pioneer platform when it comes to the tokenization of the AI agents. It makes the development of independent AI agents possible for the management of digital assets. In addition, it also makes the implementation of financial strategies possible, as well as interaction within broader decentralized economies.
IQ AI’s ATP records the ZKML technology of Lagrange to get a robust mechanism to validate voice processes. This will guarantee that only authorized stakeholders participate in management decisions without compromise on voice privacy. Thanks to this integration, AI agents can also perform refined financial strategies in parallel to the evidence of compliance and legitimacy. This would protect their own trade algorithms and promote innovation.
Trust in AI-driven financial activities and transparent and decentralized board
According to Lagrange, one of the most important benefits of this collaboration with IQ AI is improved trust in AI-led financial activities. Together with that, the mutual company also offers more transparent, decentralized board. Moreover, the accelerated innovation in the development of AI agents is a different advantage of this collaboration. The zero knowledge certificates make objective guarantees possible with regard to the behavior of AI models. That is why it shows a critical development in an era where the decision-making procedures of AI often remain non-transparent.