sense › interpret › augment
Psylinks Neurotech Corp. is a neurotechnology and applied intelligence company developing platforms that help people and organizations better understand, measure, and improve systems and cognitive performance. Psylinks combines psychology, neuroscience, multimodal sensing, signal processing, machine learning, AI, and closed-loop feedback to turn complex brain, body, computer, and environmental data into practical insight and adaptive support. Psylinks works across research, human performance, simulation, defense, industrial, and clinical-adjacent settings, with a broader mission to build technologies that connect real-world data to better decisions, training, and performance.
FRAMEWORK
Technological Backbone
Core technologies that support our SCAN and AUGS applications.
System & Cognitive Analytics
Multimodal signal acquisition, fused and analyzed for unique insight.
Closed‑Loop Augmentation
Adaptive, domain-specific augmentation, from system and workflow design to neurostimulation and AI-driven software support.
The full framework →
Sense, interpret, augment: why we built the loop this way, and how it generalizes beyond the brain.
PROJECTS
Cascade
PNC_SCAN PNC_AUGS 2026
Closed-loop intelligence layer linking energy production to end use: monitoring generation, compute, and market conditions to route power to its highest-value application in real time.
Periapt
PNC_CORE 2025
Machine learning ambulatory EEG motion and related artifact cleanup.
Vantage
PNC_SCAN PNC_AUGS 2025
Procedural skill acquisition in drone pilots, plus augmentation of training and automated piloting.
Soph_ai
PNC_CORE 2025
Modular, rapid-deployment framework for custom RAG, MCP, and intelligence.
Omnia
PNC_CORE 2024
Framework and code base for minimal processing and merging independent multimodal signals for downstream analysis.
Work with us
Psylinks takes on contract work building custom intelligence systems: biosensing, monitoring, real-time analysis, and closed-loop control. If you have a complex environment and need to turn its data into decisions and action, we can build the full loop, or any piece within it.
Team
CV | Google Scholar | LinkedIn