ZenQuip
Building India's Mental Health Infrastructure Layer
Pre-Seed
MVP Built
ZenQuip: Building India's Mental Health Infrastructure Layer
ZenQuip is pioneering an AI-powered adherence intelligence platform that fundamentally transforms mental healthcare delivery in India. We're creating a closed-loop clinical system that seamlessly connects patients with their psychiatrists, enabling continuous care rather than episodic interventions.
Our proprietary RAG (Retrieval-Augmented Generation) model serves as the therapeutic AI engine, orchestrating structured therapy modules whilst maintaining clinical safety and traceability. This isn't just another mental health app—it's the infrastructure layer that mental healthcare has been missing.
We're addressing the critical gap between psychiatric sessions through intelligent adherence monitoring, personalised therapeutic interventions, and real-time clinical intelligence—all whilst maintaining the human-in-the-loop safeguards essential for mental healthcare.
Founded By
  • Dr. Gaurav Maggu — MD Psychiatry, Clinical Lead
  • Kiran Thakar — MBA, Marketing & Operations
  • Karan Khare — CTO, AI Architecture
Status: Pre-Seed | MVP Built | Proprietary RAG Model Deployed
Mental Healthcare in India Is Episodic—Not Continuous
50% Patient Dropout
Half of all patients discontinue treatment within the first 30 days, leading to incomplete recovery and recurring episodes
Severe Psychiatrist Shortage
Only 0.75 psychiatrists per 100,000 population—creating an unsustainable care delivery bottleneck
Zero Visibility Between Sessions
Doctors operate completely blind during the critical periods between appointments when adherence matters most
Reactive Relapse Detection
Relapses are only detected after significant damage has occurred, not when early intervention could prevent them
Today's mental healthcare follows a broken pattern: Session → Gap → Relapse → Restart. There is no adherence intelligence layer connecting these dots.
The fundamental problem isn't just access to care—it's the complete absence of continuity between clinical touchpoints. Patients are left to navigate their recovery journey alone during the most vulnerable periods, whilst clinicians lack the data and tools to provide proactive support. This episodic care model leads to preventable relapses, wasted clinical capacity, and poor treatment outcomes across the entire mental healthcare ecosystem.
The Real Problem Is Not Access. It's Adherence.
Insights from Frontline Psychiatric Practice
Through years of clinical practice, our founding psychiatrist identified the critical gap that technology hasn't addressed: patients struggle with consistent adherence even when they have access to quality care.
Medication Non-Compliance
Patients forget doses, skip medications during "good days", or stop abruptly without clinical guidance—creating dangerous gaps in treatment
Abandoned Therapy Exercises
CBT homework, mindfulness practices, and behavioural exercises are rarely completed consistently outside sessions
Untracked Warning Signals
Early relapse indicators—mood changes, urges, sleep disruption—go unnoticed until they escalate into crisis
Blind Clinical Decision-Making
Psychiatrists adjust treatment plans based on 15-minute check-ins, not continuous behavioural data
The Adherence Opportunity
When adherence becomes continuous rather than episodic, the entire mental healthcare equation transforms:
Relapse Prevention
Early detection and intervention prevent full relapses, reducing hospitalisation and crisis care needs
Treatment Efficiency
Data-driven adjustments optimise medication and therapy protocols, accelerating recovery timelines
Expanded Capacity
Psychiatrists can manage more patients effectively with continuous intelligence replacing reactive crisis management

Core Insight: The bottleneck isn't the number of psychiatrists—it's the inefficiency of episodic care. Continuous adherence intelligence multiplies clinical capacity without adding clinicians.
Closed-Loop Clinical Intelligence
ZenQuip creates an integrated ecosystem where patient adherence, AI-guided therapy, and clinical oversight work together seamlessly. This isn't three separate products—it's a unified infrastructure layer that transforms mental healthcare delivery from episodic to continuous.
Our architecture transforms disconnected touchpoints into a coherent care continuum. Patients engage daily with structured therapeutic content, the AI engine orchestrates interventions whilst monitoring for risk signals, and clinicians gain continuous visibility with actionable intelligence—creating a feedback loop that prevents relapse before it occurs.
Patient Engagement Layer
Intuitive mobile experience for daily adherence tracking, AI-guided therapy modules, and direct connection to their psychiatrist's care plan
AI Orchestration Engine
Proprietary RAG system delivering structured therapeutic content, detecting risk patterns, and escalating appropriately to clinical oversight
Clinical Intelligence Dashboard
Psychiatrist-facing platform providing adherence analytics, risk alerts, digital prescribing, and practice management tools
ZenQuip: The Patient Layer
ZenQuip delivers a comprehensive patient engagement platform designed for daily use, seamlessly integrating into patients' lives whilst maintaining direct alignment with their psychiatrist's treatment plan. Every feature is purpose-built to capture adherence data and deliver therapeutic value.
Multi-Modal Tracking
Comprehensive mood, medication, urge, and sleep tracking that creates a longitudinal behavioural dataset for clinical decision-making
AI-Personalised Therapy Modules
Structured CBT, DBT, and MET exercises delivered through Zennie, personalised to individual diagnosis and progress patterns
Structured Journaling
Guided reflection prompts that capture qualitative insights whilst maintaining structure for pattern recognition
Psychiatrist-Guided Therapy Sync
Direct integration with clinician's treatment plan ensures all interventions align with professional clinical strategy
ZenQuip isn't a self-help app. It's an extension of clinical care into the patient's daily life—maintaining therapeutic continuity between sessions.
Zennie: The Therapeutic AI Engine
Zennie represents our core technical differentiation—a proprietary RAG architecture specifically designed for controlled therapeutic interventions. This isn't a general-purpose chatbot wrapped in mental health branding. It's a clinically controlled orchestration system with structured retrieval, safety architecture, and audit logging.
Proprietary RAG Architecture
Domain-specific retrieval system built on curated therapeutic corpus, not general internet knowledge
Structured Therapy Module Embeddings
CBT, DBT, and MET protocols embedded as retrievable therapeutic interventions with clinical validation
Controlled Domain Retrieval
Strict boundaries prevent model from accessing inappropriate content or generating unverified therapeutic advice
Crisis Detection & Escalation
Real-time monitoring for suicide ideation, self-harm indicators, and acute crisis signals with immediate clinical escalation
Human-in-the-Loop Override
Psychiatrists can review, modify, or block AI recommendations, maintaining clinical authority over treatment
Complete Audit Logging
Every interaction, retrieval, and recommendation is logged for clinical review and regulatory compliance
Why This Architecture Matters
Most "AI therapy" platforms are simply ChatGPT wrappers with mental health prompts. They lack:
  • Structured therapeutic retrieval mechanisms
  • Clinical safety guardrails and escalation protocols
  • Auditability for regulatory compliance
  • Integration with clinical workflows
ZenQuip's RAG system provides clinical traceability, reduced hallucination risk, regulatory alignment, and generates a structured longitudinal behavioural dataset that compounds into a defensible moat.

This is not a chatbot. It's a clinically controlled orchestration system that happens to use conversational interfaces.
ZenQuip: The Clinician Intelligence Layer
ZenQuip transforms psychiatrists' workflows by providing continuous visibility into patient adherence, automated risk detection, and integrated practice management—all within a single clinical dashboard. This layer converts the patient engagement data into actionable clinical intelligence.
Digital Prescription & Therapy Planning
Integrated prescribing system that automatically syncs medication schedules and therapeutic exercises to patient's ZenQuip app, ensuring perfect alignment
Adherence Analytics Dashboard
Visual representation of medication compliance, therapy exercise completion, mood trends, and urge patterns across patient panel
Risk Signal Alerts
Automated notifications when patients exhibit concerning patterns—medication gaps, mood deterioration, increased urge frequency, or crisis indicators
Practice Management Tools
Appointment scheduling, patient notes, billing integration, and session documentation—reducing administrative burden whilst maintaining clinical focus
ZenQuip replaces reactive crisis management with proactive adherence intelligence, enabling psychiatrists to intervene before relapse occurs.
Why Proprietary RAG Matters: Technical Moat
The AI Therapy Landscape
The mental health AI space is crowded with undifferentiated chatbots. Most platforms claiming "AI therapy" are simply general-purpose LLM wrappers with mental health prompts—lacking clinical control, safety architecture, or regulatory compliance infrastructure.
General-Purpose LLM Wrappers
ChatGPT-style interfaces with mental health system prompts, no structured retrieval, high hallucination risk
No Safety Architecture
Lacking crisis detection, escalation protocols, or human-in-the-loop oversight mechanisms
Zero Clinical Integration
Standalone consumer apps with no connection to actual psychiatric treatment or professional oversight
ZenQuip's Controlled System
Our proprietary RAG architecture provides multiple layers of differentiation that create both clinical value and technical defensibility:
Curated Therapy Corpus
Structured embeddings of validated CBT, DBT, and MET protocols—not general internet knowledge
Controlled Retrieval Logic
Domain boundaries preventing inappropriate content access or unverified therapeutic advice
Clinical Prompt Layer
Psychiatrist-designed prompts ensuring therapeutic alignment and appropriate intervention tone
Multi-Layer Safety Filters
Real-time monitoring for crisis signals, self-harm indicators, and inappropriate content
Escalation Protocols
Automated clinician alerts and emergency contact procedures when risk thresholds are exceeded
This architecture enables regulatory compliance, clinical traceability, and generates a structured behavioural dataset that becomes increasingly valuable over time. The data compounds into a moat—each patient interaction improves model performance whilst competitors remain stuck with general-purpose LLMs.
Market Opportunity: India's Mental Health Crisis
The Magnitude of the Problem
India faces a mental health crisis of unprecedented scale. Over 500 million people experience mental health challenges, yet the infrastructure to address this need is catastrophically insufficient. With only approximately 13,000 psychiatrists serving this massive population, the traditional care delivery model simply cannot scale.
500M+
People Facing Mental Health Challenges
Nearly half of India's population experiencing mental health issues at some point in their lives
13K
Total Psychiatrists
Severe shortage creating unsustainable patient-to-psychiatrist ratios across the country
0.75
Psychiatrists Per 100K
Among the lowest ratios globally, highlighting critical infrastructure deficit
Market Sizing
TAM: Global Digital Mental Health
$70B+ market opportunity as digital solutions transform mental healthcare delivery worldwide
SAM: India + Southeast Asia
Multi-billion dollar serviceable market across emerging economies with similar infrastructure deficits
Initial Wedge: Metro Psychiatrists
Top 3,000 metro psychiatrists serving urban private practice patient base—infrastructure before scale

We're building infrastructure first, not pursuing viral consumer growth. Clinical integration creates defensibility before scaling.
Business Model: Phased Revenue Approach
ZenQuip employs a phased business model that progressively captures value across patient, clinician, and enterprise segments. This hybrid B2C + B2B approach increases revenue resilience, margin profile, and creates multiple expansion vectors as the platform matures.
Phase 1: B2C Subscription
₹299 per month
Patient-facing subscription for self-guided or psychiatrist-prescribed use. Low friction entry point that drives patient acquisition and validates product-market fit.
  • Direct consumer acquisition via digital channels
  • Psychiatrist-referred patients (preferred path)
  • Subscription model ensures recurring revenue
Phase 2: ZenQuip SaaS
₹2,000 per doctor per month
Professional platform for psychiatrists including adherence analytics, digital prescribing, practice management, and patient panel oversight.
  • Higher margin professional tier
  • Sticky B2B relationships with prescribers
  • Drives patient acquisition through referrals
Phase 3: Enterprise Licensing
₹100-150 per employee per month
Corporate mental health programmes with 12-month contracts, bulk licensing, and organisational dashboards for HR and occupational health teams.
  • Predictable ARR with annual contracts
  • Bulk pricing creates largest revenue opportunity
  • Validation from enterprise adoption
The phased model allows us to validate clinical integration and product-market fit in Phase 1-2 before pursuing high-value enterprise contracts in Phase 3. Each phase funds the next whilst building strategic assets.
Competitive Positioning: Infrastructure vs. Apps
ZenQuip occupies a unique position at the intersection of AI intelligence, clinical workflow integration, and adherence focus—a space competitors either can't or won't address due to technical complexity and clinical partnership requirements.
Why Competitors Can't Replicate
Mood Trackers (Headspace, MindDoc)
Consumer wellness apps lacking clinical integration, AI intelligence, and psychiatrist workflows. Can't pivot to professional healthcare.
Therapy Marketplaces (BetterHelp)
Focus on connecting patients with therapists, not adherence intelligence. Wrong business model to build infrastructure layer.
AI Chatbots (Wysa, Youper)
General LLM wrappers without structured therapeutic corpus, clinical integration, or psychiatrist adoption strategy.
Hospital EMR Systems
Clinical workflow tools lacking AI capability and patient engagement layer. Legacy technology unable to innovate rapidly.
ZenQuip's Unique Position
We sit at the intersection of three critical capabilities:
  1. High AI Intelligence: Proprietary RAG architecture with domain-specific therapeutic retrieval
  1. Deep Clinical Integration: Built with psychiatrists for seamless workflow adoption
  1. Adherence Focus: Purpose-built for continuous care delivery, not episodic interventions
Strategic Insight: We're not competing with apps. We're building the infrastructure layer that mental healthcare requires to function efficiently.
Traction & Current Status
Present Stage: MVP Complete
ZenQuip has successfully built and deployed a functional MVP with all three ecosystem layers operational. Our proprietary RAG model is deployed and undergoing clinical validation, whilst maintaining exceptionally lean burn rate.
✓ MVP Complete
Full patient app, AI engine, and clinician dashboard built and functional
✓ Proprietary RAG Deployed
Domain-specific therapeutic AI architecture operational with safety controls
✓ Clinical Co-Founder Validation
Active workflow testing with founding psychiatrist's patient panel
✓ Capital Efficient
₹50,000 per month burn rate—lean operation with technical team in place
Next 12 Months: Strategic Milestones
Our roadmap focuses on structured validation, dataset creation, and early revenue generation—building the foundation for scale whilst proving clinical efficacy and business model viability.
01
500 Beta Patients
Controlled patient onboarding across diverse diagnosis categories to validate adherence improvements and therapy effectiveness
02
20 Psychiatrists Onboarded
Build clinical partner network across metro cities, validating workflow integration and professional adoption
03
3 Enterprise Pilots
Proof-of-concept deployments with corporate partners to validate B2B model and gather organisational health data
04
Structured Adherence Dataset
Generate proprietary longitudinal behavioural dataset that becomes increasingly valuable as data compounds
05
Paid Beta Launch
Transition from validation to revenue generation, proving willingness-to-pay across patient and professional segments

Strategic Focus: We're prioritising data moat creation and workflow integration over vanity user metrics. Infrastructure value compounds with clinical adoption depth, not breadth.
3-Year Financial Snapshot
Our financial projections reflect a capital-efficient pathway to scale, with revenue growing through progressive expansion across patient, professional, and enterprise segments. We're targeting break-even by Year 3-4 whilst maintaining 70-80% gross margins typical of SaaS infrastructure businesses.
Year 1: Foundation & Validation
  • 2,000 users across beta cohorts
  • 10% paid conversion rate validating willingness-to-pay
  • ₹7 Lakhs revenue primarily from B2C subscriptions
  • Focus on product refinement and clinical validation
Year 2: Professional Expansion
  • 10,000 users with accelerated growth
  • Enterprise pilot conversions beginning
  • ₹1-1.2 Crore revenue with B2B SaaS contribution
  • Psychiatrist network expansion across metros
Year 3: Scale & B2B Traction
  • 40,000 users with strong organic growth
  • Significant enterprise expansion with annual contracts
  • ₹5-7 Crore revenue with healthy B2B mix
  • Path to break-even with gross margins at 70-80%
Pre-seed capital focuses on validation, ARR initiation, and dataset scaling—not premature user acquisition. We're building infrastructure that compounds in value, not chasing vanity metrics.
Team: Clinical Expertise Meets Technical Excellence
Dr. Gaurav Maggu
Co-Founder & CEO (Clinical Strategy & AI Innovation) | MD Psychiatry, IMS-BHU
Dr. Maggu brings frontline clinical insight into the systemic inefficiencies of episodic mental healthcare. Through years of psychiatric practice, he identified the critical adherence gap that technology hasn't addressed—witnessing firsthand how patients struggle between sessions despite having access to quality care.
His clinical expertise shapes every aspect of ZenQuip's architecture, ensuring therapeutic interventions remain evidence-based, safety protocols meet professional standards, and the platform genuinely serves psychiatric workflow needs rather than adding administrative burden.
Kiran Thakar
Co-Founder, Marketing & Operations | MBA, University of Massachusetts
Kiran drives ZenQuip's strategic positioning and go-to-market strategy, bringing a sophisticated understanding of how infrastructure businesses scale differently from consumer apps. His operational expertise ensures lean execution whilst building the clinical partnerships essential for workflow integration.
He architected ZenQuip's phased business model—recognising that sustainable growth requires clinical validation before viral consumer adoption. His focus on infrastructure positioning rather than app thinking shapes investor narratives and partnership strategies.
Karan Khare
Co-Founder & CTO (AI Architect & Technical Strategy) | MBA, Boston University | MS, San Jose State University
Karan architected ZenQuip's proprietary RAG-based therapeutic AI system—the technical moat that differentiates our platform from general-purpose LLM wrappers. His expertise in AI infrastructure and controlled retrieval systems enabled the creation of a clinically safe, auditable, and scalable therapeutic orchestration layer.
He leads technical strategy with a focus on building defensible infrastructure rather than pursuing feature parity with consumer apps. His architectural decisions prioritise clinical traceability, regulatory compliance, and data moat creation.
This founding team combines clinical insight, operational excellence, and technical depth—the precise skill mix required to build healthcare infrastructure, not just another mental health app.
Fundraise: Pre-Seed Capital for Infrastructure Validation
Investment Opportunity
₹30
Lakh Pre-Seed Round
Capital target for 18-month runway
12
Months Runway
Sufficient time for validation milestones
Investment Thesis
ZenQuip represents a clinical infrastructure play, not a consumer app bet. We're building the adherence intelligence layer that India's mental healthcare system requires to function efficiently—positioned at the intersection of AI innovation and clinical workflow integration.
This pre-seed capital enables validation of clinical efficacy, business model viability, and dataset creation before pursuing growth capital for scale.
Use of Funds: Strategic Allocation
30%
AI Refinement & Infrastructure
Enhance RAG architecture, expand therapeutic corpus, improve safety systems, and scale technical infrastructure
30%
Engineering Hires
Expand technical team with AI/ML specialists, backend engineers, and mobile developers to accelerate product development
15%
Clinical Validation & Compliance
Conduct structured efficacy studies, build regulatory compliance framework, and expand clinical advisory board
15%
Enterprise Pilots & GTM
Execute corporate pilots, develop sales materials, and build psychiatrist partnership acquisition engine
10%
Operational Runway
Administrative costs, legal infrastructure, and general operational expenses to support 18-month timeline

Milestone Goal: This capital takes us from MVP to validated infrastructure—proving clinical efficacy, demonstrating psychiatrist adoption, generating initial ARR, and creating the proprietary dataset that becomes increasingly defensible.