DI announced its investment lineup for the first time, and the professional multi-agent event simulation engine is about to go live

DI (Decentralized Intelligence) has publicly announced its lineup of investors for the first time, receiving support from institutions and individual investors such as OKX Ventures, Lingfeng, DraperDragon, W3 Storage Lab, DepinX, and Central Pinnacle Technology Limited. The latest round of financing was completed with a valuation of $100 million, though the specific amount raised has not been disclosed. Its core product— the professional multi-agent event simulation engine Event Engine— is set to officially launch.

DI is building a user-owned AI financial agent network aimed at the U.S. stock and cryptocurrency markets, connecting professional research, event simulation, and quantitative strategies, allowing both ordinary users and professional traders to utilize professional financial analysis capabilities.

Centered on Professional Multi-Agent Event Simulation

Users can start with a hypothesis, a concern, or a market event that has already occurred, and pose questions in natural language. DI mobilizes professional agents within the network, as well as agents distilled from the analysis methods of professional traders and KOLs, to simulate the development paths of events and their market impacts from different perspectives.

Relying on financial databases and professional models, the conclusions generated by the system not only include possible outcomes but also present the consensus, divergences, judgment bases, and key assumptions among the agents. Users can understand how different judgments are formed and what changes might affect the original conclusions. The simulation results will be recorded on-chain for easy future tracing, verification, and review.

Through the collaboration of professional agents, DI aims to provide users with evidence-based, comparable, and traceable financial research results, which can be further used for ongoing analysis and strategy validation.

Extending from Simulation Conclusions to Quantitative Research

DI's quantitative platform is derived from its event simulation capabilities. Questions posed by users and authorized simulation results can enter the quantitative center, where the system automatically filters and assesses whether to include them in backtesting and strategy research, and records which judgments were ultimately adopted by the strategy.

The platform plans to offer self-developed quantitative strategies, strategy creation, and backtesting tools. Ordinary users can use the strategies provided by DI, while experienced traders and research teams can create and test their own strategies. Initially focused on strategy and tool services, users retain control over their funds.

Independent data dashboards and professional data APIs provide the data support needed for ongoing research. Leveraging a database covering the U.S. stock and cryptocurrency markets, DI integrates market data, news, on-chain data, and market opinions, helping users gather information in a centralized manner, and also supports professional teams in integrating data into their research systems.

Gradually Building a User-Owned Financial Agent Network

Based on event simulation, quantitative research, and data capabilities, DI will further develop a collaboration network among personal agents and between agents. Personal agents can share simulation results with other verified agents based on user authorization, facilitating ongoing tracking, research collaboration, and task delegation.

Genesis NFT holders will become seed users of the network. As external developers, research teams, and strategy teams join, DI plans to bring more professional capabilities into the network, enabling agents to discover, invoke, and combine different financial research services, and complete related service settlements through $DI.

The announced financing progress will support DI in continuously improving professional agents, models, and data infrastructure, promoting the official launch of the event simulation engine, and expanding the global user and developer ecosystem.