PPrevention AI
Digital Public Good for MHPSS

Prevention-AI Workspace

Open MHPSS Infrastructure Powered by a Strictly Moderated Cognitive Core

A comprehensive ecosystem designed to bridge the epidemiological data gap. The localized CRM terminals are deployed as a free Digital Public Good, while the centralized AI Brain provides evidence-based "Shadow Scoring" and clinical co-piloting under rigorous ethical oversight.

Request Institutional Access Specialist Workspace Demo School Director Demo Territorial Authority Dashboard
Strategic Value

Seamless Adoption Across All Institutional Levels

Engineered for immediate operational integration with minimal required training.

For Psychologists & Counselors

AI-Mediated Clinical Co-Pilot

  • Shadow Scoring Technology: Overcomes limitations of classical psychodiagnostics. The AI analyzes natural free-flowing speech and programmatically maps it onto strict clinical metrics.
  • Evidence Factory: Structured data aggregation enables continuous evaluation and enhancement of AI assistance protocols (details on the Science page).
  • Zero-Trust Architecture: All clinical notes reside exclusively on the practitioner's local machine, ensuring uncompromising data sovereignty.
  • Open Infrastructure: A highly scalable CRM uniting the electronic workspaces of all participants in the prevention system, distributed completely free of charge.
For Institutional Administrators & NGOs

Macro-Epidemiological Dashboards

  • Hierarchical Telemetry: Establish a territorial youth deviance prevention system at any scale—from an individual school up to the national or UN level.
  • Bridging the Data Gap: Automatically generate comprehensive statistical pools detailing MHPSS activities, providing analytics that standard departmental reporting cannot deliver.
  • Role-Based Access: Counselors maintain isolated access to their patient cohorts, while administrators view aggregate capacity and operational metrics without exposing PII.
  • Unified Ecosystem: Connect educational institutions, parents, teenagers, and public authorities into a cohesive support network.
System Architecture

End-to-End Operational Workflow

From initial digital intake to comprehensive clinical intervention, structured by operational tier.

Level 3: Prevention System Management

This tier illustrates how the system addresses administrative and public oversight requirements without violating child privacy boundaries.

Institutional Oversight

Director Dashboard

School directors monitor aggregate specialist workloads and localized risk trends without accessing student personally identifiable information (PII).

Macro-Epidemiology

Territorial Telemetry

District coordinators and regional authorities access anonymized macro-telemetry to proactively adjust local prevention programs.

Level 2: Core Practitioner Workspace

The core of the system. Here, we have integrated professional institutional-grade tools into a single, cohesive specialist interface.

Secure CRM

Isolated Patient Data Vault

Manage consultations, schedules, and intake pipelines inside a locally isolated SQLCipher-encrypted database ensuring absolute Zero-Trust privacy.

View Privacy Architecture
Diagnostic Protocols

MDR & FBA Protocols

Assess behavioral drivers using automated ABC trigger mapping and process data for school manifestation determination council reviews.

Architect Mode

Automated Document Generator

Synthesize fragmented observation notes and session logs into standardized four-column official prevention plans and reports ready for clean DOCX export.

Analytics

Student Profiles & Form 5

Eliminate administrative burdens. Automatically compile annual intervention statistics into official templates and draft comprehensive behavioral logs.

AI-Helper (Co-Pilot)

Clinical Shadow Scoring

Leverage advanced generative AI for hypothesis formulation, peer supervision, and de-escalation planning, turning raw case notes into target actions.

Professional Learning

AI Academy Integration

Interactive supervision ensuring practitioners thoroughly master evidence-based protocols before unlocking advanced terminal features.

Explore Curriculum

Level 1: Public Intake & Diagnostics

This tier handles the origin of primary data coordinates, explaining how children and educators safely interface with the system.

Public Portals

School Website Integration

Offloads counselors. Guides initial student/parent inquiries, explains data anonymity protocols, and registers non-PII signals for macro-epidemiological tracking.

Internal Routing

Teacher Referral Portal

A structured internal form allowing educators to flag peer concerns and request coordinate classroom action guides without revealing sensitive details.

Youth Engagement

Teenology Mobile App

A friendly, non-stigmatizing mobile interface for secure peer check-ins and anonymous wellness evaluations, building empirical signals for early de-escalation.

View Teenology App
Capacity Building

3D Prevention Academy: Bridging Theory and Practice

Safe, ethical, and effective AI deployment in schools requires structured training. Our ecosystem connects the open-access 3D Prevention Academy with the Professional Terminal.

Interactive 3D Knowledge Atlas

The public Prevention Academy acts as a visual navigation map of social epidemiology, clinical risks, and universal prevention tracks. Specialists can dynamically explore connections between theories (e.g., CBT) and targeted school interventions in a free, open-access 3D space.

Terminal Workspaces and AI-Supervisor

From the public 3D map, specialists seamlessly transition to the Professional Terminal via interactive bridges. Deep generative actions, procedural document drafting, and case supervisor simulations are executed securely in the counselor's private local environment.

3D Prevention Academy and AI-Professor Interface
Data Sovereignty

Zero-Cloud Airgapped Infrastructure

Patient identifiers, clinical notes, and institutional data reside exclusively within your physical operational perimeter.

The workspace functions as an isolated digital vault. Access is secured via stringent on-device credentialing and local SQLCipher encryption.

  • GUID-Based Tokenization: Students are represented internally via mathematically irreversible GUIDs. The AI analyzes behavioral vectors, not names or identities, ensuring absolute anonymity.
  • Zero-Knowledge AI Inference: Personally identifiable data never leaves the specialist's device. All processing occurs locally or is completely anonymized before interacting with the AI engine.
  • Offline Resilience: The core application and entire database remain fully operational without internet connectivity, ensuring uninterrupted care during network outages.
  • Secure Redundancy: Practitioners can export encrypted, password-protected database backups to secure physical media. These backups are unreadable on unauthorized devices.
  • Compartmentalized Auditing: Institutional administrators can extract macro-level capacity and risk heatmaps without ever accessing individual clinical records.
Student registry with PII
PII is restricted exclusively to the practitioner's local device

Deploy Open MHPSS Infrastructure

The core architecture is distributed entirely free of charge as a Digital Public Good.

Access Source Code & Binaries Contact for Partnership

The UI and CRM Terminals are open source. Access to the centralized Cognitive Core (AI Brain) requires institutional partnership to ensure strict clinical moderation, ethical compliance, and scalability.