Ecosystem & Computing Support

DI’s products depend on data, research, strategies, models and computing resources. Outside teams can contribute through data, research, strategies and product collaboration.

Research and product collaboration#

Research and IP partners, external quant strategies and product teams can add research, tools and product capabilities to DI.

The Quant Platform provides one concrete entry point. Creators can turn strategies into products that other users can understand and use. The later Agent network will further connect capabilities supplied by different participants.

Data and model contributions#

Verified data and other material valuable to the models and products are the focus of contribution rewards. Ecosystem co-development supports research/IP, external strategies and product collaboration. Both support the ecosystem but serve different purposes.

Contribution assessment considers relevance, source quality and practical use.

The role of computing resources#

Computing resources support data processing, model calls, multi-perspective research and strategy analysis.

Extension directions#

DI plans to extend access for developers and teams through compute service quotas, APIs and enterprise services.

These extensions will build on the Data Dashboard, Event Engine and Quant Platform, supporting subsequent Personal Agent and network development.