Data Science & advanced analytics
We operationalize AI/ML on prem. on bare metal. at the edge. where others can't.
We build mission-ready AI/ML products that meet rapidly evolving defense and intelligence needs. What sets us apart? Our speed to operation powered by our Expertise as a Service deploying our NT StudioDX in dynamic environments.
Our teams specialize in AI/ML using mission-specific data.
Our data science practice brings open-source and commercial technologies to your mission data sets so you can get to the solution, faster.
- Adversarial AI
- Deep Learning
- Edge Computing
- Machine Learning
- MLOps
- Modeling & Simulation
- Supervised & Unsupervised Approaches
- Training
Gain increased strategic & tactical advantage.
- Disaster relief & first response needs
- Cyber threat detection
- High-value target detection & tracking
- Exploitation tools for intelligence
- Accelerated data correlation & analysis
- Data readiness & synthesizing
Our data science expertise
Automated Target Recognition
Edge Computing
GraphML &
Link Prediction
Motion Tracking
in WAMI
Natural Language
Processing
Network Endpoint Pattern Recognition
Pattern-of-life
Analytics
Predictive Maintenance
Signal Data Anomaly Detection
Signal Data Pattern Recognition
Synthetic Data
Generation
Testing & Evaluation
Customer success. Delivered.
Link prediction for superior intelligence
In order to ingest and fuse intelligence information from multiple data sources (GEOINT/HUMINT) for target systems analyses, the DIA needed to replace their existing legacy MIDB with a highly scalable, cloud-based Machine-Assisted Analytic Rapid-Repository System (MARS).
Our COTS architecture provides users the ability to create information dynamically and collaboratively in a multi-use (tactical, analytical, operational, and strategic) environment and support views/models of data in formats at a speed, scale, and capability that moves at the pace of real-world intelligence analysis and operations.
35PB
of data streams processed per day
5M+
nodes
1B+
edges
Program highlights
Prototyped a low-cost, open-source and extensible COTS architecture that facilitates the intake, fusion, storage, rapid query, and ML analysis of large quantities of data in various formats
The prototype can handle billions of graph entities for storage, query, and advanced analytics—more representative of real-world because they store data in the form of relationships
Developed link prediction algorithms using Graph Analytics and Graph ML for temporal, geographic, and contextual relationship prediction between infrastructure, human actors, human events, and geolocation events
Built the requisite data pre-processing, analytic, and prediction pipelines into the enterprise-scale architecture
Turn complex data into actionable insight.
We’re looking for talented and experienced data scientists to join our team and help us build the next generation of products and services for National Security.
Insights from our experts:
