Cognistase for Professionals: Clinically Grounded, Fully Transparent
Clinically validated frameworks, tracking over time, and transparent scoring for psychologists, coaches, and specialists.
Stop Doing the Aggregation Manually
Clinical coaching and psychological assessment require deep insight and judgment. But most practitioners spend the bulk of their time gathering scores, formatting reports, and pulling together historical observations. Cognistase handles the aggregation and formatting, so you can focus on what actually requires your expertise.
Structured Intake in a Fraction of the Time
When a family comes to you via Cognistase, they don't arrive with a jumbled folder of emotional anecdotes. They arrive with a structured, visually mapped developmental profile.
You get immediate insight into their child's cognitive, emotional, social, and executive ages before the first session. This cuts down your intake and history-gathering time significantly, allowing you to get straight to intervention and formal diagnosis.
Calculated Scores, Not AI Hallucinations
We do not use generative AI for scoring or assessment math. Any developmental scoring, trajectory mapping, or index comparison is calculated deterministically using standard psychometric formulas (based on frameworks like WISC-V and BRIEF-2).
When Cognistase generates a report, it cites verifiable clinical sources. It never guesses.
From Your Clinic to the Classroom
The tragic reality of clinical work is that your deeply researched, 30-page neuropsychological evaluation often sits unread in a teacher's desk drawer.
Cognistase solves the "last mile" problem of clinical advocacy. The system translates your formal diagnostic findings into our Teacher Bridge, a secure, one-page, practical guide of daily interventions for the classroom. Your clinical expertise actually gets implemented.
Fully Compliant EU Infrastructure
Our infrastructure is built for clinical and legal requirements:
- 100% Hosted in the EU on private servers.
- GDPR and EU AI Act Compliant.
- No Model Training: We never feed patient data back into public language models.