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Confidential Portal

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🔓 Access granted — welcome to the ZenQuip Confidential Portal ⚠ NDA Protected — Do not share or reproduce

Pitch Deck

Full investor presentation — market opportunity, product, traction, team, and financials.

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Pitch Deck — Coming Soon

Drop confidential/pitchdeck.pdf into the project folder
and uncomment the embed block in confidential.html

See ZenQuip in action.

Patient app & Zennie companion screens. The ZenDoc clinician-dashboard demo will be added here soon.

Living Stream / Zennie
Living Stream · Zennie
Mood Pulse
Mood Pulse
Emotional check-in
Emotional check-in
Challenge the thought
Challenge the thought
Guided exercise
Guided exercise

Everything ZenQuip actually does.

Proprietary clinical and AI features — not available in any public documentation.

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Zennie — Agentic AI Companion
Two-mode architecture: Conversational + Guided Exercise
Dual-mode switching: seamlessly transitions between open-ended chat and structured CBT/DBT/MET exercise sessions based on patient state
35 Therapeutic Arcs: clinician-designed programs covering anxiety, depression, trauma, identity, behaviour, and cognitive domains
487 Guided Exercises: step-by-step therapeutic exercises with real-time Zennie feedback and progress tracking
Arc Matching Algorithm: dynamically assigns the most clinically appropriate therapeutic arc based on patient history, mood data, and clinician prescription
Memory & Continuity: Zennie remembers prior sessions, references past disclosures, and maintains longitudinal therapeutic context
MCP Tool Ecosystem: Zennie has access to 12+ clinical tools including RAG knowledge base, medical literature search, mood history, habit data, and arc progress
Hindi/Hinglish support: native bilingual responses, culturally sensitive framing for Indian patients
Empathy calibration: proprietary tone system modulates warmth, directiveness, and clinical depth based on session type and patient profile
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Safety Architecture
Multi-layer clinical safety system — the most critical part of the platform
Real-time crisis detection: 5-level risk classification engine monitoring all patient messages for suicidal ideation, self-harm, and psychotic break signals
Automated escalation protocols: immediate notification to assigned clinician + emergency contact on crisis trigger
Hard-stop guardrails: Zennie cannot provide medication dosage advice, diagnoses, or substitute for emergency services — hard-coded at system level
Safe messaging compliance: all Zennie responses follow WHO safe messaging guidelines for suicide and self-harm
Dropout risk flagging: predictive model flags patients showing disengagement patterns before they go silent
HIPAA-aware data architecture: zero PII stored in LLM context; all sensitive data routed through encrypted, access-controlled backend
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Living Stream — Personalised Agenda
The patient's daily therapeutic roadmap
Clinician-prescribed items: therapy targets, arc assignments, and medication schedules flow directly from clinician dashboard into patient's Living Stream
Self-added items: patients add personal goals, reminders, and habits alongside clinician items in one unified stream
Intelligent reordering: Zennie surfaces the most relevant item based on time of day, mood check-in, and completion history
Progress visibility: real-time completion data flows back to clinician dashboard — no manual reporting needed
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Mood Pulse — Clinical Mood Tracking
Far beyond emoji check-ins
Multi-dimensional mood logging: captures valence, energy, anxiety, and optional free-text notes at each check-in
Zennie integration: mood data is referenced in every conversation — Zennie adjusts tone and content based on recent mood trends
Clinician mood dashboard: longitudinal mood charts, trend detection, and anomaly alerts for every patient
Medication correlation: mood data overlaid with medication adherence to help clinicians identify efficacy patterns
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Provider Platform — Clinician Dashboard
Built for how psychiatrists and therapists actually work
AI Prescription Writing: clinician writes therapy-target prescriptions — arc assignments, exercise frequency, medication schedule — that flow directly into the patient app
Real-time patient progress: arc completion rates, mood trends, habit streaks, and medication adherence in one view
Sentiment analytics: AI-generated session sentiment scores and engagement quality metrics — without exposing private chat content
Multi-patient panel: designed for high patient volumes — rapid triage view, risk flags, and one-click message capability
Billing support: session logging and outcome data formatted for insurance and billing workflows (India-specific)
Referral network: clinicians can refer patients within the ZenQuip network and track handoff outcomes
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AI & Technical Architecture
Proprietary stack — not available in any public documentation
Agentic pipeline: LangGraph-based multi-step agent with tool-calling for clinical context assembly before every Zennie response
Proprietary RAG vector store: 30+ clinical conditions, evidence-based treatment protocols, and Dr. Maggu's original authored content — not scraped books
Medical literature tool: real-time search of PubMed/clinical databases to ground responses in current evidence
Arc matching engine: proprietary algorithm combining diagnostic profile, mood trajectory, and engagement history to select optimal therapeutic arc
Transformer-based risk classifier: fine-tuned on clinical crisis language for real-time message-level risk scoring
Prompt security layer: multi-stage prompt injection defense and hallucination mitigation designed for clinical-grade reliability

Clinical Architecture & Evidence Framework

A detailed account of the clinical design principles, therapeutic methodology, and evidence base underpinning ZenQuip.

White paper coming soon — contact media@zenquip.com to request an advance copy.

Ready to go deeper?

Book a call with Dr. Gaurav Maggu directly to discuss the platform, investment opportunity, or clinical partnership.