top of page

d i c p ® technology 

Deep Identity Clarifying Process ® 

It's all about Identity !

Regardless of country and language of              origin of patients, we can analyze,

detect, and help prevent and reduce risks due to

unconscious internal misalignment and correlated psycho-somatic risks.     

Over the last 5 years, our platform has been

designed and beta-tested with users from many countries and native languages around the world.

This helped us generate expert artificial intelligence in personality profiling, able to avoid the dangers of unconscious cultural bias in the evaluation of people's stories, pains and behavioural patterns. 

Pre-Consultation 

 Consultation 

1

   Patient Questionaires

2

       Data Processing 

3

           Analytics 

4

     Recommendations

1 . Collect in ADVANCE

each patient's life & health story key points + let him take specific psychometric questionnaires, establishing and providing any health professional with a COMPLETE / HOLISTIC "body/mind" patient profile. 

Screen Shot 2019-08-12 at 4.32.12 PM.png

2. Help professionals check, ANALYZE and VALIDATE "authentic and natural" personality type (sorting out nature and nurture) of an individual.

Screen Shot 2019-08-07 at 2.45.14 PM.png

3.Run more than 10

specific indicators and run as well psychosomatic as mental RISK ANALYTICS ("Mental Health Check"), linked to the unique mix of nature and nurture of each patient, all starting from 2 key indicators :

Collab_1a.jpg
yLhGR.png

52%

Internal Alignment  Rate

82%

yLhGR_edited.png

Energy Burn Rate 

4. SYNTHESIZE psychological profile

& issue RECOMMENDATIONS

 to both expert users and patients. 

Screen Shot 2019-08-07 at 2.59.58 PM.png
About & Subscribe

As trusted partners of the mental health community, we are obsessed with data and privacy protection.

We prioritize maintaining the highest levels of data encryption and secured architecture. From day 1, we have rejected a business model based on generating data for advertising and sales purposes of third parties.
We refuse to share data unless completely anonymized and in separate clusters to academic partners or officially recognized epidemiologists - and only under strict and severe conditions.

bottom of page