Data Science

Estimating the unknown and solving complex problems

 

Our team of subject matter experts and data scientists are at the forefront of advances in data-driven technologies. We continually develop new computational techniques and software tools for processing and analyzing massive volumes of data in order to provide our clients with well-informed, timely, and actionable information.

We are curious and tenacious, and have the ability to look at things differently and capture data in ingenious ways, converting data into assets that help our clients reduce risks, improve revenue, reduce costs, seize business opportunities, develop new products, improve end user experience, and regain business agility.

Our Approach

We built an interoperable ecosystem of prototypes, algorithms, predictive models, statistical models, and custom analysis for managing architectures and data. Examples of our tool capabilities include utilities for securely managing global Internet of Things (IoT) communication and orchestration, data transport, architecture deployment, application security, identity management, and data security.

Applications

  • Military Readiness

  • Threat Detection

  • Algorithm Evaluation (ML/AI)

  • Predictive Uncertainty

  • Cyber Security

  • Biometrics

  • Healthcare

  • Intelligence

  • Law Enforcement

  • Finance Anti-Money Laundering

  • Counter Human Trafficking

  • Logistics

  • Behavioral and Social Sciences

Related Insights

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IoT Sensor Calibration

We developed a new method for automatically calibrating IoT sensors. This method can produce significant savings for companies that maintain large, deployed arrays of sensitive IoT sensors by negating the need for service personnel to calibrate or replace them over time.

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Quantitative Crisis Response (QCR)

QCR was designed to speed awareness and aid in early decision making during times of crisis. This cross-agency platform was first deployed during the Ebola crisis and is still actively supporting military information operations.

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Media Forensics: Deepfakes

Initiatives like the MediFor Project have been established to reverse the power of machine learning to stop the spread of disinformation in through the creation of widely accessible tools that distinguish between authentic and doctored media.