About MyndTek

Using technology to improve your mental health.

MyndTek is a company that is focussed on improving our customers'' lives by developing revolutionary technology that utilizes the Network Theory of Psychological conditions. MyndTek's application uses network theory in an effort to show users not only how their mental health symptoms are related, but also the root ause of their predominant issue.


Myndtek came from the brilliant mind of its founder, Kevin Forshey. After being diagnosed with BiPolar disorder, Kevin (being a software engineer) began collecting various data points that would help him manage his own symptoms. After not finding any existing system that was able to provide him with sufficiently concrete data, Kevin began by creating his own system based on the advice of medical professsionals. This game changing system eventually turned into MyndTek's first product MyndHak.


The idea of Data Driven Therapy (the idea of allowing data generated by MyndHak to drive diagnosis and treatment of mental health) came from a difficult time in Kevin's life. Just after being diagnosed with bipolar disorder, Kevin was going through outpatient treatment with a group of other individuals in similar situations. During the course of approximately 2 months Kevin saw 3 to 4 individuals in this group lose their lives to their mental health while waiting for a diagnosis and the correct treatment to begin. Kevin decided that it was not acceptable for this to happen to even 1 person, let alone several in 1 group. Kevin thought long and hard and over the course of about 2 years the theory, formulas, and software necessary to bring Data Driven Therapy to a reality have finally reached the point of being ready for customer use. The goal of MyndHak is to generate the necessary data to make Data Driven Therapy a possibility. Data Driven Therapies' goal is to quicken the diagnosis process, get appropriate treatment started as soon as possible, and to work as a measure based on hard irrifutable data in the treatment process.

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