Using advanced brainwave monitoring technology, NERVANIX measures the learner's attention level, and then uses that data to inform instruction. Both educators and online learning systems can use attention data in real time to adapt instruction. Such "attention adaptivity" underpins education's ability to personalize instruction for individual students, quickly and easily.

Education publishers can optimize their products by evaluating how well those products engage and hold the attention of a learner.

Teachers can monitor attention levels of their students, in real time and over time, and adapt their instructional approach to address individuals who may need a little extra help staying engaged.

Administrators can use Nervanix to help them with their purchase decisions by determining which products and services are most likely to engage and hold the attention of the learner.

Students can earn badges by increased and sustained focus during instruction.


Nervanix Head Sets

Nervanix Middleware

Nervanix Reports

Training Materials (administrator, teacher, parent and student)

Ongoing Development of Educational Games

Research Lab


R&D Labs – Companies that provide products and services to the education market can use Nervanix as an extension to their R&D initiatives. New products can earn the “Nervanix seal of approval” by being tested and vetted in a mock user setting. Nervanix can measure how well sample users attend to the material, providing valuable feedback and additional data points that the companies will take into consideration as they plan their go-to-market strategies.

Real-Time Benefit To The Teacher – Rather than just “assuming” that students are paying attention, Nervanix provides the teacher with powerful ability to actually “know” whether or not students are paying attention by having access to the Nervanix dashboard via mobile device, showing attention levels of students in real time.

Longitudinal Data Sets and Formative Application – Teachers, administrators and parents can be informed of common factors that play into a student’s likelihood of attending, given a variety of measured variables in the instructional setting. Trend data can inform a more customized instructional approach given individual students, and all stakeholders can begin to validate what makes individual students “tick”.


"Research is currently underway. Results are forthcoming"