SBIR-STTR Award

Data analytics is the science of extracting trends and actionable information from large data sets. Agencies and Companies use this information to improve their management and operations. Graph Database, also referred to as Knowledge Graph, is one of the leading technologies for analyzing Big Data. Unlike other Database Management Systems (DBMS), relationships take first priority in Knowledge Graphs. The relationships allow data to be linked together directly, and in many cases retrieved with one operation. Knowledge Graphs excel at managing highly-connected data and complex queries. Benefits include the ability to scale more naturally to large data sets, flexibility for evolving data structures and faster processing speed for related data sets. The global Graph Database market is expected to grow from $821.8 Million in 2018 to $2,409.1 Million by 2023, at a CAGR of 24.0% during the forecast period.1 The United States Air Force (USAF) mastery of "big data" is imperative for special operations activities that rely on real time intelligence and very early indicators. USAF retrieves significant amounts of unclassified data during reconnaissance missions which is sent to command centers for exfiltration. Knowledge Graph technology enables real time extraction and exploitation of this data.(1) MarketsandMarkets 2017.Knowledge Graph Service,Knowledge Graph Fusion,One Way Graph Analytics,Testing in Amazon Web Services,Knowledge Graph Nodes and Edges,Big Data Analytics and Graph Modeling,Data Exchange and Standardized API

Under the 1-year contract sponsored by Air Force Research Labs (AFRL), Greystones will deliver real-time, AI/ML/NLP-based analysis of Multi-Domain data to the AF, DoD & Allied Forces using GreyRAVEN© – a TRL 9, COTS-based collaboration platform providing real-time analysis and decision support via Knowledge Graph-driven AI, deep learning neural networks and Natural Language Processing technologies. The open architecture platform is optimized for scalability, interoperability with legacy infrastructure/systems and the rapid operationalization of mission solutions – at the tactical edge and enterprise level – generating AI/ML-derived actionable insights in days versus months/years. The platform includes thousands of highly customizable data sources (including all major social media venues), algorithms, applications and user interface templates and is currently globally deployed and supports 1B+ notes and edges, 1M+ edge densities, 1B+ writes/day and 100+ instance clusters. The GreyRAVEN architecture is recognized by AFCEA as the “Big Data architecture of the future,” and GreyRAVEN was selected as finalist for both the AF Multi-Domain Operations Challenge and CYBERCOM Challenge and selected to exhibit at the SOFWERX Data Engineering Lab opening event. “Our people and technology are highly sought after around the world to solve the difficult AI/ML challenges and we are excited to expand this expertise within the DoD”, said Sheila Duffy, Greystones Group CEO and Founder. “Given the logarithmic increase in speed and volume of data collection, DoD recognizes the value and critical importance of proven technology that can integrate and adapt quickly, cost-effectively and securely with existing DoD infrastructure.” Greystones Group is a TS Cleared EDWOSB, proudly supporting IC, DoD & Civilian agency clients since 2000.