Graphen, Inc.

Matthieu L Gavaudan

Ching-Yung Lin

Hal J Cooper

Danny Lo-Tien Yeh

Yang Yang

Peiqi Jin

A system for providing an artificially-intelligent graph database is disclosed. The graph database has significant graph computing capabilities, which are facilitated through the integration of artificial intelligence into the graph database. The capabilities are enabled through the use of unique artificially-intelligent agents that are each responsible for a subgraph of a graph of the graph database. Each artificially-intelligent agent performs computations on the graph-structured data in each subgraph that each agent is responsible for managing. The artificially-intelligent agents may work cohesively together to provide artificial intelligence capabilities to the entire graph database. The graph database may optimize itself through intelligent local management by using the agents. Notably, the graph database may optimize and manage itself with respect to previous interactions, such as requests for data, changes to data, and algorithm execution, as well with respect to future interactions associated with the graph database, while modifying management as time progresses.

System and method for providing an artificially-intelligent graph database

A system for providing a graph protocol for forming a decentralized and distributed graph database is disclosed. The system involves receiving, from a device, a bid request to generate a graph on a graph protocol network via the graph protocol. A plurality of masternodes in the system may transmit ask requests associated with providing storage and computation power to service the bid request. If the system determines that the requirements of the bid request match or correlate with the requirements of the ask request, the system may select any masternodes having matching or correlating ask requests to service the ask request. The system may then arrange the masternodes into a unique artificially-intelligent router of the graph protocol network. The system may then proceed to generate the graph on the graph protocol network by utilizing the masternodes of the router and may process any queries associated with the generated graph.

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New York, NY, United States of America

Matthieu L Gavaudan