DI Overview

DI (Decentralized Intelligence) is building a user-owned financial Agent network. Built on a Crypto-native Model, DI connects data discovery, event research and quantitative products. Its development path takes users from individual tools to their own financial Agents, and then to collaboration across an interconnected network.

Starting with products#

DI has three connected product capabilities:

Product	Question it addresses	What users receive
Data Dashboard	What is happening, and which changes deserve attention?	Market data, news, social perspectives and research leads to follow
Event Engine	How might an event develop, and what supports the analysis?	Multi-perspective discussion, evidence, process receipts and a research report
Quant Platform	How can a strategy become a usable product?	DI quant products, strategy creation tools and a product marketplace

The products connect around the same research subjects, sources and judgment conditions. A user can discover an event in the dashboard, examine its implications in Event Engine, and use quant tools to test and express a strategy. This is an iterative process: new data can change an event assessment, while strategy results can raise new research questions.

From Personal Agents to a network#

After product launch, DI will connect these capabilities through Personal Agents. Working with user preferences and permissions, an Agent will monitor markets, organize research and call tools, reducing the need for users to carry out every step manually.

The next stage will establish the first Agent network with seed users from 2,000 founding NFTs. Agents belonging to different users will exchange information, call capabilities and collaborate on tasks. DI’s long-term goal is to connect each user’s Agent team to data, research and strategies across the network.

Product development stage#

DI has completed product development. Product launch, Personal Agents and the first Agent network follow in sequence, with Agent and network capabilities opening in subsequent roadmap stages.

Updated October 12, 2026.

Reading paths#

• Product Architecture: how the model, products and Agents connect.
• Product Roadmap: completed work and subsequent stages.