AI systems need a knowledge base to manage their data as they produce and consume more complex information than the average software. GRAKN.AI is a distributed knowledge base with a reasoning query language that enables you to query for explicitly stored data and implicitly derived information.
Grakn is a distributed knowledge base that enables machines to understand the meaning of information in the context of their relationship. Effectively, Grakn turns your dataset into a graph of knowledge.
Graql is a simple and intuitive graph query language that performs machine reasoning over Grakn. Graql not only allows you to query explicitly stored data, but also implicitly derived information.
Technologies like Google's Knowledge Graph pioneered the semantic search experience on the web. With GRAKN.AI, you can build ground breaking semantic search tools for your organisation's corpus of information with dramatically less engineering effort.
When processing large sets of heterogeneous data, such as customer transaction information, it is critical that your infrastructure can handle the data complexity if you would like to identify anomalies in real-time. GRAKN.AI allows you to easily explore complex networks of datasets and perform logical reasoning to detect fraudulent patterns in your dataset before it causes any harm to your customers.
As devices have become more intelligent, the way we interact with them evolved to natural language through conversation. GRAKN.AI is the ideal platform for developing chat bots because it is capable of interpreting complex and ambiguous questions by performing inference over your knowledge graph.
The process of drug research, synthesis, testing, and approval is incredibly time intensive and costly. These workflows produce large volumes of heterogeneous and interconnected data that unfortunately sit in silos. GRAKN.AI allows the integration of these datasets into one intelligent knowledge graph. The identification of, and reasoning upon, implicit linkages that Grakn does across datasets, departments and workflow phases allows you to catapult your research years into the future.
Risk analytics organisations rely heavily on the data they can process and understand. However, time available for implementing the measures to comply with the regulations is in months and not years. GRAKN.AI is the backbone of large-scale risk analytics that makes integration of information sources simpler and provides data analytics immediately out of the box.
Grakn allows you to model the world through a highly expressive ontology that functions as your data schema. Your ontology could flexibly evolve as your business grows.
Graql uses automated reasoning to let you express complex questions in concise and intuitive statements. The equivalent queries are much more complex in other query languages.
Graql provides functionalites to perform distributed graph analytics out of the box. Analyse your data immediately without further engineering effort of building distributed algorithms.
Grakn’s Graql is a knowledge-oriented query language. Graql allows for queries of both associative and contextual natures, for retrieving explicitly stored and implicitly derived knowledge.
For those of you that have been waiting - we're sorry for the delay, but we're so close! We'll be ready to release on the 10th of September. Let us know what you think about our technology and what you would like to build with it. And don't forget to star our repository on GitHub!