CortexaCore combines proprietary high-speed eye tracking, a purpose-built software environment and neuroscience-informed AI to translate time-linked response into interpretable Neural Behavioural Intelligence.
The CortexaCore eye-tracking layer is designed to capture fine-grained ocular response at the speed required for time-linked analysis. Device configuration, calibration, participant setup and operating conditions are agreed around the use case.
The hardware is one part of the platform. CortexaCore brings capture together with protocol design, AI-supported analysis, visual outputs, cohort comparison, reporting and a practical route to action. This is how a visible signal becomes decision-grade intelligence.
CortexaCore model development is informed by synchronised fMRI, EEG and ocular-response research. The public site explains the principle in accessible language. Qualified evaluators can request a deeper account of methodology, validation scope and intended use where this is appropriate to a live opportunity.
The platform is designed to fit the customer workflow. That may include a stand-alone research or testing environment, a controlled programme with specialist analysts or integration discussions for a defined product, simulation, content or system context.
Specific hardware specifications, integration architecture, processing considerations, intellectual property information and deployment detail are shared at the depth the opportunity requires. This protects sensitive material while giving qualified buyers a credible evaluation route.
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