Product
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U.S. Patent No. 11409737 and 12001424

THE FUTURE OF TECHNOLOGY ENABLED TRADECRAFT

  • Thrive in Big Data

    Replace data overload with rich extraction of the value in the large-scale data holdings.

  • Prevent Cognitive Biases

    Eliminate the underlying systemic sources of the decision errors characterized in hindsight as a ‘bias.’

  • Improve Analytic Rigor

    Perform rigorous analysis at speed and scale. The multidimensional measure of analytic quality, covering the full lifecycle from data sampling, processes and workflow provenance, and analytic conclusions, to reporting and explanation.

  • Develop game-changing technology-enabled tradecraft to support the fundamental cognitive work of analytic decision-making.

  • The Applied Cognitive Systems Engineering™ (ACSE) methodology is a rigorous engineering methodology that implements CSE to innovate effective Joint Cognitive Systems (JCS). This is the first ever approach aimed specifically at supporting the underlying cognitive work involved in rigorous analytic tradecraft. The BEAST program will derive several benefits from CSE insights and the corresponding ACSE methodology.

  • • Enhance Analytic Rigor

    • Analyst Reclaims Time

    • Thrive in Big Data

    • Reduce Cognitive Bias

    • Reduce Risk of Premature Closure

    • Leverage Expertise and Cross Team Knowledge

    • Effective Human-Machine Teaming

    • Domain Agnostic and Data Agnostic Analysis Environment

BEAST lets the user realize the speed, rigor, and mission value of technology enabled tradecraft

Features

  • Seeded Auto-Query

    Run data retrieval queries directly from the knowledge objects (hypotheses and evidences) as seeds for the nearly fully automated embedded service.

  • Integrated Multi-Analyst Workspace

    Provide analyst with an in-depth understanding of the decisions taken by their collaborators and the status of their shared analysis.

  • Data Triage

    Manage the massive data returns of auto-query, detecting the data most valuable to your analysis.

  • Auto-Reporting

    Generate an accurate and rich report in a fraction of a second, using knowledge objects captured from analysts over the entire life of the analysis as they perform their core work.

  • Tradecraft Self-Awareness

    Identify gaps and brittleness in their analysis and enables analysts to take the actions necessary to address those issues.

Work Focus 

Users
Single, Team, Multi-Team

Team Structure
Synchronous, Asynchronous, Co-located, Distributed

Data
Federated connections to Existing Enterprise Repositories