The Deep Learning Engine Behind Our Products
Every Zora DeepTech product is powered by purpose-built, fine-tuned AI models — trained on domain-specific healthcare data, optimized for Indian clinical contexts, and deployed on GPU-accelerated infrastructure.
Two Products. Four Specialized Models.
Our AI stack is architected for healthcare precision
WellNest
Mental Wellness AI
ZoraWell-LLM
Gemma 3 serverless on Vertex AI
ZoraEmote
Emotion + Voice AI
ZoraScan
Diagnostic Imaging AI
ZoraScan-Vision
CNN Anomaly Detection
ZoraReport-LLM
Gemma 3 serverless on Vertex AI
Detailed Model Specifications
ZoraWell-LLM
Mental Wellness Language Model for WellNest
Base Model
Gemma 3 (Google DeepMind)
Deployment
Serverless on Google Vertex AI
Context Window
128K tokens
Languages
English, Tamil, Hindi (Phase 2)
Task
Empathetic mental wellness conversation, crisis detection, personalized student support in Indian English + regional context
Phase 2 Roadmap
Fine-tune Gemma 4 on self-hosted NVIDIA GPU infrastructure for low-latency, offline-capable deployment
ZoraEmote
Voice & Emotion Detection Model for WellNest
Architecture
Wav2Vec2 + LSTM Classifier
Inference
NVIDIA GPU (CUDA) — target <200ms latency
Task
Real-time emotion classification from student voice input (7 emotion classes: neutral, sad, anxious, stressed, happy, angry, fear)
Phase 2 Roadmap
Add real-time streaming inference via WebSocket for live session support
ZoraScan-Vision
Medical Imaging Anomaly Detection for ZoraScan
Architecture
EfficientNet-B4 + YOLOv8
Inference
NVIDIA GPU (CUDA + TensorRT) — under 10 seconds per scan
Accuracy
94.7% sensitivity on NIH ChestX-ray14 benchmark dataset
Explainability
Grad-CAM heatmap overlay on every prediction
Task
Anomaly detection and localization in chest X-rays, brain MRIs, CT scans
Phase 2 Roadmap
Fine-tune with Indian patient scan data via hospital partnerships
ZoraReport-LLM
Clinical Report Generation Model for ZoraScan
Base Model
Gemma 3 (Google DeepMind)
Deployment
Serverless on Google Vertex AI (Phase 1)
Task
Auto-generates structured clinical radiology reports from ZoraScan-Vision predictions and heatmap data
Phase 2 Roadmap
Self-hosted fine-tuned Gemma 4 on NVIDIA GPU — enabling offline report generation for hospitals with poor internet connectivity
Our AI Model Roadmap
Building the future of healthcare AI, one model at a time
Phase 1
DoneCompleted
ZoraWell-LLM
Gemma 3 serverless on Vertex AI
WellNest MVP
Student mental wellness platform
Cloud Infrastructure
Google Vertex AI + Azure Central India
Phase 2
ActiveIn Progress (2025-2026)
ZoraEmote
Wav2Vec2 + LSTM on GPU
ZoraScan-Vision
EfficientNet + YOLOv8
ZoraReport-LLM
Gemma 3 on Vertex AI
ZoraWell-LLM v2
Fine-tune Gemma 4, Self-hosted NVIDIA GPU
Phase 3
Future (2027+)
ZoraIndic-LLM
Multilingual health AI — Tamil, Telugu, Hindi, Bengali
ZoraDrug-AI
Ayurvedic compound validation model (GNN)
On-premise Edge
Offline hospital deployment
How We Deploy Our Models
From cloud to edge, we build infrastructure for every scenario
Phase 1 — Cloud
Completed
Google Vertex AI
- Gemma 3 serverless endpoints
- AutoML pipelines
- Vertex AI datasets
Azure Central India
- Low-latency for Indian users
- Data residency compliance
- Backend services
Phase 2 — Hybrid
In Progress
Self-hosted NVIDIA GPU
- Gemma 4 fine-tuned (self-hosted)
- TensorRT optimized
- CUDA inference layer
On-premise Hospital Edge
- Offline ZoraScan
- No internet needed
- HIPAA-grade secure
Want to Integrate Our Models?
We offer API access for hospitals, diagnostic labs, universities, and healthcare platforms.