Transforming Massive Data Sets into Actionable Intelligence with AI/ML/NLP
Greystones Analytics Platform (GAP) is an award winning, highly customizable TRL 9 COTS that ingests, fuses and provides visualization and search capability for large data sets including unstructured message traffic, structured identity data, link charts, spreadsheets, telephony, documents, network data, sensor data—even full motion video. Searches are intuitive, without the need for a specialized query language.
The platform is currently deployed at the US Air Force and supporting over 6,000 analysts at the US Department of Treasury for real time decision making. GAP leverages free and open-source tools, allowing customers to focus on building solutions instead of paying license fees.
The GAP knowledge graph suite allows for its users to choose the best technology for their needs. Knowledge graphs can leverage Neo4j, ONgDB, DozerDB, MemGraph, JanusGraph, Apache AGE, and other open source graph database engines to build highly connected knowledge graphs.
The GAP knowledge graph suite competes with the proprietary Neo4j Bloom, Linkurious, and GraphAware Hume suites.
In alignment with Greystones’ goal to bring Artificial Intelligence into mission critical defense, GAP also collaborates with 3rd party tooling including Databricks. Its AI components help accelerate machine learning, another important feature of GAP. The platform also utilizes Kubernetes as a tool to support containerization.
GAP is based on microservices architecture, components are software defined, can be deployed on premises and/or cloud. The platform is adaptive, resilient, and highly scalable and rapidly manages and disseminates highly-connected text, image and sensor data and complex queries. Benefits include resiliency, flexibility for evolving data structures, faster processing speed, and utilizes Natural Language Processing (NLP) for AI enhanced decision making.