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.
Get in touchZenquip is not just another mental health app—it's the infrastructure layer that mental healthcare has been missing. Our proprietary RAG (Retrieval-Augmented Generation) model serves as the therapeutic AI engine, orchestrating structured therapy modules whilst maintaining clinical safety and traceability.
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.
Status: Pre-Seed | MVP Built | Proprietary RAG Model Deployed
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.
Zenquip creates an integrated ecosystem where patient adherence, AI-guided therapy, and clinical oversight work together. This isn't three separate products—it's a unified infrastructure layer that transforms mental healthcare delivery from episodic to continuous.
Intuitive mobile experience for daily adherence tracking, AI-guided therapy modules, and direct connection to the psychiatrist's care plan.
Proprietary RAG system delivering structured therapeutic content, detecting risk patterns, and escalating appropriately to clinical oversight.
Psychiatrist-facing platform providing adherence analytics, risk alerts, digital prescribing, and practice management tools.
Zennie is our core technical differentiation—a proprietary RAG architecture designed for controlled therapeutic interventions. This isn't a general-purpose chatbot wrapped in mental health branding. It's a clinically controlled orchestration system.
We're building infrastructure first, not pursuing viral consumer growth. Clinical integration creates defensibility before scaling. Initial wedge: top 3,000 metro psychiatrists serving urban private practice.
₹299/month — Patient-facing subscription. Low friction entry; psychiatrist-referred patients preferred.
₹2,000/doctor/month — Professional platform: adherence analytics, digital prescribing, practice management.
₹100–150/employee/month — Corporate mental health programmes with annual contracts.
Current: MVP complete. Proprietary RAG deployed. Clinical validation led by Dr. Gaurav Maggu. Capital efficient (₹50,000/month burn).
Next 12 months: 500 beta patients → 20 psychiatrists onboarded → 3 enterprise pilots → structured adherence dataset → paid beta launch.
3-year snapshot: Year 1 ~₹7L revenue (B2C); Year 2 ~₹1–1.2 Cr (B2B); Year 3 ~₹5–7 Cr, path to break-even, 70–80% gross margins.
ZenQuip and ZenDoc are live today; Zennie (agentic AI) is in rapid prototyping. Six specialists across clinical, engineering, AI, research, and go-to-market.
MD Psychiatry (IMS-BHU), Fellowship in Child & Adolescent Psychiatry, Certification in Machine (Stanford Online), CBT Certificate (Beck's Institute). Child & adolescent psychiatrist with 10 years in Psychiatry. Shapes clinical strategy, 35 arcs, 487 exercises, and safety for ZenQuip and ZenDoc; designed wireframes. Leads ML/AI R&D; developing Zennie (next phase) via rapid prototyping in LangChain/LangGraph. 25+ publications, 80+ citations.
MBA (Boston) and MS (San Jose State University). Leads backend, ZenDoc, and production for ZenQuip. Converted the Python AI stack for Android; architected AWS deployment pipelines for patient and provider apps. Owns system design through production release.
MBA (University of Massachusetts). Business strategy, investor partnerships, and go-to-market. Develops pitch deck and commercial positioning with Dr. Sonam Tandon. Phased business model and infrastructure-first GTM.
BE in Information Science and Engineering (Visvesvaraya Technological University). Builds and maintains ZenQuip on Android; scales mobile, web, and backend. Mood tracker, journal, CBT, substance-use modules, habits, ZenDoc integrations, and production deployments.
BDS (MUHS) and Master in Public Health. Clinical study design, research validation, and evidence base for therapeutic programs. Pivotal role in investor pitch deck and go-to-market with Kiran Kant Thakar. Clinical credibility for IR and partnerships.
MS in Computer Science (University of Windsor, Canada). LangChain / LangGraph — LLM integration, agentic pipelines, arc-matching, and MCP tools for Zennie. Contributed to LangGraph architecture; active contributor on LangChain/LangGraph prototype with Dr. Gaurav Maggu.
Thesis: Zenquip is a clinical infrastructure play, not a consumer app bet. This capital enables validation of clinical efficacy, business model viability, and dataset creation before growth capital.