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Sonalysts, Inc. — Cognitive Electronic Warfare and Human-AI Teaming Contractor

Created: Sat Apr 25Updated: Sat Apr 25

Overview

Sonalysts, Inc. is a primary defense contractor deeply embedded in the Pentagon's neurological, cognitive warfare, and human performance coordination bodies. The company operates as a central node in the Cognitive Electronic Warfare (CEW) ecosystem, maintaining active contracts with the Air Force Research Laboratory's 711th Human Performance Wing (711 HPW) to develop Brain-Machine Interface (BMI) technology for "Cognitive Warfare" and advanced Human-AI Teaming platforms.

Key Facts

  • AI Architecture Leadership: Timothy Ellmore serves as Artificial Intelligence and Machine Learning Systems Architect at Sonalysts 17, specializing in fMRI, DTI, and EEG-based neural modeling. His research on motor inhibition (2009) directly informs CEW capabilities for predicting and disrupting human motor responses.
  • Active Cognitive Warfare Programs:
- "Brain Machine Interface Technology to Dominate Cognitive Warfare" — ARAP candidate project led by Dr. Andy McKinley of the 711 HPW in coordination with Sonalysts' Human Systems Community of Interest (2022) - "$6.2M AFRL contract for Force Optimization Through Rapid Prototyping"
  • Human-AI Teaming Development: Sonalysts actively pursues contracts and generates research in Human-AI Teaming, including Dr. Asiala's work on training human-AI teams using testbed alternatives.

Relationships to Other Entities

711th-human-performance-wing — Primary military partner for cognitive warfare R&D; Sonalysts maintains multiple active contracts with this wing.

timothy-ellmore-neural-modeling — AI Architect at Sonalysts 17 whose fMRI and motor inhibition research translates neuroimaging data into machine learning models for CEW applications.

human-systems-community-of-interest — Sonalysts leadership oversees this division, harmonizing system interfaces with human cognitive processing ability.

Sources

— Neurodata Misuse Investigation Strategy (2026-04-25)

Sources

  • raw/articles/Neurodata_Misuse_Investigation_Strategy.md