NetrAI isn’t just a collection of APIs. It’s a scalable vision intelligence engine, designed to empower developers, researchers, and creators with next-gen image enhancement tools.An optimized, modular, and secure platform that transforms raw pixels into possibilities—bridging AI research with real-world applications.
Introduction
NetrAI is a computer vision SaaS built for performance, scalability, and innovation. From image colorization to super-resolution and custom fine-tuning, it delivers state-of-the-art results through developer-friendly APIs.
With global edge deployment, real-time analytics, and secure access, NetrAI ensures a smooth developer experience without compromising speed or security.
🌐 Live Site 🔗 GitHub Repo
Problem Statement
Most vision platforms face challenges like:
- High latency and lack of real-time capabilities
- Limited extensibility for custom fine-tuning
- Weak developer experience with fragmented SDKs
- Opaque pricing and analytics for usage tracking
NetrAI redefines the standard—offering a transparent, performant, and developer-first vision API ecosystem.
Technical Stack
Layer | Technologies |
Core Engine | Python, PyTorch, OpenCV |
Backend | FastAPI (async-first), JWT-secured APIs |
Deployment | Docker, Edge Workers, Stripe Metered Billing |
Monitoring | Real-time analytics, async pipelines |
Dev Tools | Custom SDKs, API Playground |
System Architecture
- GPU-Accelerated Inference Pipelines: Optimized for concurrency
- Multi-Model Runtime: Parallel processing for faster results
- Secure API Access: JWT + rate-limiting for fairness
- Global Edge Scaling: Low-latency responses across regions
- Analytics Dashboard: Real-time usage metrics and billing
Core Modules and Features
Vision APIs
- Colorization, super-resolution, deblurring
- Model fine-tuning endpoints
Secure Access
- JWT-based auth with role-specific tiers
- Rate-limits + usage-based pricing
Analytics
- Real-time monitoring of requests, latency, and costs
Developer SDKs
- Ready-to-use SDKs in Python/JS
Billing
- Stripe-powered metered billing
- Transparent pay-per-use model
Planned Enhancements
Feature | Description |
Model Marketplace | Host and share custom-trained models |
Edge Caching | Sub-ms latency with distributed caches |
AI Ops Tools | Auto-scaling, error tracking, anomaly detection |
Collaboration | Team dashboards with shared credits |
Impact & Outcomes
✅ Cut inference latency by 45% with async pipelines
✅ Unified developer experience with SDKs and playground
✅ Transparent billing with metered usage