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Official 12-slide investor pitch deck for ZoonoTrack Bharat™ + NADIS™, themed in Blue → Teal → Green gradient, with fonts Inter / Poppins / Montserrat. Slides: 1. Cover: ZoonoTrack Bharat™ + NADIS™, India's First One-Health Disease Surveillance & Emergency Grid. Powered by OYMOM Health Pvt Ltd. 2. Introduction: One-Health DPI for livestock disease detection, outbreak prediction, emergency response. Vision: make India the most disease-intelligent livestock nation. 3. Problem Statement: Frequent outbreaks, delayed detection, lack of unified surveillance, poor traceability, slow response → ₹10,000+ Cr losses. 4. Solution: Real-time One-Health grid with AI, GIS, IoT, QR-based traceability. Key features: NADIS-AI, GIS hotspot maps, PashuSevak emergency grid, QR Health Certificates, DNA Ledger. 5. How It Works: Farmer input → AI engine → GIS map → emergency grid → traceability → dashboards. 6. Market Opportunity: TAM ₹65,000 Cr, SAM ₹7,500 Cr, SOM ₹300–500 Cr. Demographics: 70M livestock, 85% small farmers. 7. Business Model: Service sales, QR certificates, emergency response, licensing; future revenue via IoT, climate subscriptions, agri-fintech data. 8. Competition: Govt dashboards, vet apps, mapping tools. Differentiation: Real-time AI, PashuSevak gig model, QR + DNA Ledger. 9. Go-to-Market: Phased rollout from pilot to national/global scale. Channels: AH Dept, cooperatives, FPOs, NGOs. 10. Financials: Year 1 ₹4–6Cr → Year 3 ₹80+Cr. Gross margin 65–75%, low CAC, high LTV. 11. Team: CEO, CTO, veterinarians, ops trainers, AI specialists. 12. Milestones & Roadmap: MVP ready, real-time maps, QR, DNA Ledger. Next: ADeX integration, drone/IoT, climate v2. 13. Ask: ₹2 Cr funding (Track-2 Pilot): 40% tech, 30% deployment, 20% expansion, 10% AI modeling. 14. Contact: OYMOM Health Pvt Ltd, Maharashtra, India.
This investor pitch deck presents ZoonoTrack Bharat™ + NADIS™, India's pioneering One-Health platform for real-time livestock disease detection, AI-driven outbreak prediction, and emergency response.
The title slide features the main heading "ZoonoTrack Bharat™ + NADIS™". Its subtitle describes it as India's first one-health disease surveillance and emergency grid, powered by OYMOM Health Pvt Ltd.
India's First One-Health Disease Surveillance & Emergency Grid. Powered by OYMOM Health Pvt Ltd.
The slide introduces a One-Health Digital Public Infrastructure (DPI) focused on detecting and surveilling livestock diseases, powered by AI for outbreak prediction to avert major impacts. It also features a rapid emergency response grid for timely interventions, with a vision to position India as the world's most disease-intelligent livestock nation.
Indian farms face frequent livestock disease outbreaks, compounded by delayed detection, fragmented surveillance, poor traceability, and slow response mechanisms that hinder effective interventions. These challenges result in annual economic losses exceeding ₹10,000 crore.
The slide outlines an integrated solution for livestock health management, featuring a real-time One-Health grid that combines AI, GIS, and IoT for comprehensive monitoring. It includes QR-based traceability, NADIS-AI for disease detection and prediction, GIS hotspot maps for risk alerts, the PashuSevak emergency grid for rapid response, and secure QR Health Certificates with DNA Ledger tracking.
Farmers input livestock health data through a mobile app, where an AI engine analyzes symptoms, predicts outbreaks, generates risk assessments, and visualizes real-time disease hotspots on GIS maps for proactive monitoring. In response, the PashuSevak emergency grid deploys rapid teams, QR codes track animal movements for traceability, and integrated dashboards provide actionable insights to vets, authorities, and farmers.
| Input and AI Analysis | Response and Traceability |
|---|---|
| Farmers submit livestock health data via mobile app. AI engine analyzes symptoms, predicts outbreaks, and generates risk assessments. GIS maps display real-time disease hotspots for proactive monitoring. | PashuSevak emergency grid activates rapid response teams. QR codes enable seamless traceability of animal movements. Integrated dashboards deliver actionable insights to vets, authorities, and farmers. |
India's livestock health sector represents a total addressable market of ₹65,000 Cr, with a targeted surveillance and response segment at ₹7,500 Cr and an initial achievable revenue opportunity of ₹300–500 Cr. The market serves a 70M livestock population, where 85% are managed by smallholder farmers.
India's livestock health sector value
Targeted surveillance and response market
Achievable revenue in initial phases
India's total livestock count
Proportion of smallholder farmers
The Business Model slide outlines current revenue streams including service sales for surveillance and response, QR certificates for livestock traceability, emergency response fees through the PashuSevak gig network, and licensing of AI and GIS technologies to partners. It also highlights future opportunities such as IoT device sales and subscriptions, climate risk subscriptions for farmers, and agri-fintech data monetization partnerships.
Existing solutions for livestock disease management, such as government dashboards, veterinary apps, and mapping tools, are fragmented, leading to delayed detection, poor integration, and significant losses in India. ZoonoTrack differentiates itself with real-time AI for predictive outbreak detection and mapping, on-demand veterinarians via the PashuSevak model, and QR-based certificates with DNA Ledger for immutable traceability in a unified One-Health system.
| Existing Solutions | ZoonoTrack Differentiation |
|---|---|
| Government dashboards offer static reporting on outbreaks. Veterinary apps provide basic diagnostics and consultations. Mapping tools display fixed geographic data. These fragmented tools result in delayed detection, poor integration, and inadequate traceability, contributing to massive livestock losses in India. | Real-time AI enables predictive outbreak detection and hotspot mapping. PashuSevak gig model deploys on-demand veterinarians for swift emergency response. QR-based Health Certificates combined with DNA Ledger ensure immutable traceability, creating a unified One-Health grid for superior disease surveillance. |
The Go-to-Market timeline outlines a phased rollout starting with a 2024 pilot launch in key regions, involving the AH Department and cooperatives for initial testing and feedback. It progresses to national expansion in Q1 2025 via FPOs and NGOs with real-time surveillance, partnership acceleration with the AH Department in Q3 2025, and global deployment in 2026 leveraging established networks.
2024: Pilot Launch in Key Regions Initiate pilot program with AH Dept and cooperatives for initial testing and feedback. 2025 Q1: National Scale Expansion Roll out nationally via FPOs and NGOs, integrating real-time surveillance features. 2025 Q3: Partnership Acceleration Strengthen channels with AH Dept for widespread adoption and data integration. 2026: Global Scale Deployment Extend to international markets, leveraging established networks for global reach.
Source: OYMOM Health Pvt Ltd
The Financials slide projects initial Year 1 revenue at ₹4–6 Cr, scaling aggressively to over ₹80 Cr by Year 3, with a healthy gross margin of 65–75%. It also highlights efficient customer economics through low customer acquisition costs (CAC) and high lifetime value (LTV).
Initial projected sales
Aggressive growth target
Healthy profitability range
Efficient acquisition and lifetime value
The Team slide highlights a seasoned CEO with over 15 years in health tech leadership, an innovative CTO focused on AI and IoT integrations, and expert veterinarians for accurate disease surveillance. It also features skilled operations trainers for field deployment and talented AI specialists advancing predictive analytics.
The Milestones & Roadmap slide outlines key achievements in developing an AI-driven platform for livestock disease detection and surveillance. Starting with MVP launch in 2023, it progresses through 2024 integrations like real-time GIS maps, QR traceability, and blockchain DNA ledgers, followed by 2025 enhancements with ADeX connectivity, drones, and IoT, culminating in a 2026 climate modeling upgrade for outbreak prevention.
2023: MVP Development Complete Launched core platform with AI for disease detection and surveillance. 2024: Real-Time Maps & QR Integration Implemented GIS hotspot maps and QR-based traceability for livestock. 2024: DNA Ledger Rollout Introduced blockchain for secure, immutable health records. 2025: ADeX and Drone/IoT Integration Connected to ADeX, added drones and IoT for enhanced monitoring. 2026: Climate V2 Upgrade Advanced climate modeling for predictive outbreak prevention.
The slide outlines a funding request of ₹2 Cr for the Track-2 Pilot phase. It allocates 40% to advanced technology development, 30% to on-ground deployment and integration, 20% to scaling and expansion, and 10% to AI modeling enhancements.
Source: ₹2 Cr funding (Track-2 Pilot): 40% tech, 30% deployment, 20% expansion, 10% AI modeling.
Transforming Livestock Health Together.
OYMOM Health Pvt Ltd Maharashtra, India
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