AI-Powered Virtual Try-On & UGC Videos for Fashion Retailers
Democratizing visual commerce for fashion ecommerce. Integrating with Shopify, WooCommerce, and more. Replace $5K photoshoots and expensive influencer content with AI-powered virtual try-on and UGC video generation. Launching November 15, 2025.
About RIKHATH
RIKHATH is the company behind TryOnAI, a standalone AI-powered platform that democratizes visual commerce for fashion retailers. Starting with Shopify integration and expanding to WooCommerce and other ecommerce platforms, TryOnAI combines virtual try-on technology with UGC video generation to help merchants replace expensive photoshoots and influencer content while increasing conversions by 30-40% and reducing returns by 35%.
Our Mission
To democratize visual commerce for online fashion retailers by making professional product photography and virtual try-on accessible to merchants of all sizes.
Target Market
800,000+ fashion and apparel online stores globally (Shopify, WooCommerce, and other platforms). Merchants currently spending $2,000-$10,000 per photoshoot and $500-$2,000 per influencer post.
The Problem We Solve
Fashion retailers face high costs for professional product photography and influencer content. Our AI solution replaces both at a fraction of the cost while increasing conversions by 30-40% and reducing returns by 35%.
Competitive Advantage
Standalone platform with phased ecommerce integrations (Shopify first, then WooCommerce, expanding to others). Only solution offering both video try-on AND UGC generation. Self-hosted on NVIDIA GPUs for better control and economics vs. expensive API services.
What TryOnAI Does
TryOnAI (by RIKHATH) is a standalone AI-powered platform built for fashion and apparel retailers. Starting with Shopify integration (Phase 1), expanding to WooCommerce (Phase 2), and other ecommerce platforms thereafter. We offer two core features at $99-$799/month, replacing traditional expenses of $2,000-$10,000 per photoshoot:
- •Virtual Try-On (Image & Video): Customers upload photos or videos to visualize clothing on themselves before purchase. Reduces returns by 35% and increases conversion rates by 30-40%.
- •UGC Video Generator: Merchants transform product photos into realistic influencer-style videos for social media and ads. Creates authentic content at a fraction of traditional influencer costs ($500-$2,000 per post).
Technology Stack: We self-host our AI models on NVIDIA GPUs (Google Cloud Compute Engine instances with A10G/T4 GPUs) running Stable Diffusion XL, AnimateDiff, and ControlNet with CUDA acceleration. This gives us better control and economics compared to expensive API services.
Target Market: 800,000+ fashion and apparel online stores globally across all ecommerce platforms (starting with Shopify and WooCommerce) who need affordable, scalable visual content solutions.
Powerful Features Built for Growth
Everything you need to boost conversions and create engaging shopping experiences
Transform Your Visual Commerce
See how TryOnAI revolutionizes product photography and content creation for fashion brands
The Old Way
Slow, Stressful, Expensive
The New Way
Instant, Effortless AI Visuals
Massive Savings
Cut 90% of Visual Shoot Costs
Studio Quality
Photorealism Without the Overhead
Join the future of visual commerce. Replace expensive photoshoots with AI-powered perfection.
Use Cases That Drive Results
See how leading brands are using TryOnAI to transform their ecommerce
- Size visualization
- Color matching
- Style recommendations
- Makeup simulation
- Skin tone matching
- Tutorial generation
- Multi-platform export
- Trending audio
- Auto-captions
Product Development Stage
We're currently in active beta testing with select merchants, with our MVP scheduled to launch on November 15, 2025. Starting with Shopify integration, then expanding to WooCommerce and other platforms. Here's our development progress and what's coming next.
Beta Testing Phase
Currently in beta with select merchants, gathering feedback
Beta Users
300+ virtual try-ons processed with beta merchants
MVP Launch Date
Full Shopify App Store release scheduled for November 15, 2025
Expected Impact
30-40% conversion increase, 35% return rate reduction
Development Roadmap
- Stable Diffusion XL integration
- AnimateDiff video generation
- ControlNet for precise control
- CUDA acceleration pipeline
- Google Cloud GPU infrastructure
- Core platform architecture
- Virtual try-on (photo & video uploads)
- UGC video generator from product images
- Processing 300+ try-ons in beta
- 24-80GB VRAM optimization (A10G/A100)
- TensorRT optimization in progress
- Beta merchant feedback integration
- Phase 1: Shopify integration launch
- Scale to 50,000 daily try-ons
- 2,000+ monthly UGC videos capacity
- Merchant analytics dashboard
- Automated pricing tiers ($99-$799/mo)
- Phase 2: WooCommerce integration (post-launch)
NVIDIA Technology Stack
- • AI Models: Stable Diffusion XL, AnimateDiff, ControlNet
- • Infrastructure: Google Cloud Compute Engine (NVIDIA A10G/T4 GPUs)
- • Acceleration: CUDA acceleration, TensorRT optimization planned
- • VRAM Requirements: 24-80GB for video processing (A10G/A100)
- • Processing Capacity: Scaling from 300 to 50K+ daily generations
- • Recognition: NVIDIA Inception Program member
Product Features (Beta)
- • Virtual try-on via photo/video upload
- • UGC video generation from product images
- • Phase 1: Shopify integration, Phase 2: WooCommerce
- • Self-hosted GPU infrastructure for cost control
- • Fashion & apparel focus (clothing, accessories)
- • Pricing: $99-$799/month (vs $2K-$10K photoshoots)
Powered by NVIDIA Technology
We leverage NVIDIA's cutting-edge GPU infrastructure on Google Cloud to deliver fast, high-quality virtual try-on and video generation at scale. As an NVIDIA Inception Program member, we have access to world-class resources and technical support.
NVIDIA Inception Program
Accepted into NVIDIA Inception Program, gaining access to cutting-edge GPU technology, technical expertise, and go-to-market support.
GPU Infrastructure
Running on Google Cloud Compute Engine instances with NVIDIA A10G and T4 GPUs. Processing requires 24-80GB VRAM for high-quality video generation.
AI Model Stack
Leveraging Stable Diffusion XL, AnimateDiff, and ControlNet with CUDA acceleration. TensorRT optimization in progress for enhanced performance.
Scaling Capacity
Currently processing 300+ try-ons in beta. Infrastructure designed to scale to 50,000 daily try-ons and 2,000 monthly UGC videos post-launch.
Infrastructure Details
- ▸GPU Types: NVIDIA A10G (24GB), T4 (16GB), A100 (80GB)
- ▸Cloud Platform: Google Cloud Compute Engine instances
- ▸Self-Hosted: Full control over inference pipeline and costs
- ▸VRAM Optimization: Efficient 24-80GB memory usage
AI & Optimization
- ▸Models: Stable Diffusion XL, AnimateDiff, ControlNet
- ▸Acceleration: CUDA-optimized inference pipeline
- ▸In Progress: TensorRT optimization for 2-3x speedup
- ▸Target Scale: 50,000 daily try-ons, 2,000 videos/month
Meet Our Team
Led by experienced entrepreneurs and technologists from top tech companies and research institutions, our team combines deep expertise in AI, ecommerce, and product development.
Imran Hassan
CEO & Founder
📍 Pakistan
Visionary entrepreneur leading RIKHATH's mission to democratize visual commerce for fashion retailers through AI innovation.
Rizwan Gul Hassan
CTO
📍 Turkiye
Technical leader overseeing the development and architecture of TryOnAI platform. Expert in scalable systems and cloud infrastructure.
Dr. Moaaz Ur Rehman
Chief AI Scientist
📍 Turkiye
Leading AI research and development, specializing in computer vision and deep learning models that power TryOnAI's virtual try-on technology.
Salar Sadiq
Product Manager Coordinator
📍 Dallas, USA
Results-driven professional coordinating product development at Siemens. Brings expertise in project management, Agile methodologies, and technical solutions to drive product excellence.
Built on NVIDIA & Google Cloud Technology
Powered by NVIDIA GPUs and Google Cloud infrastructure for high-performance AI processing
NVIDIA A10G
GPU
NVIDIA T4
GPU
Stable Diffusion XL
AI Model
AnimateDiff
AI Model
ControlNet
AI Model
CUDA
Acceleration
TensorRT
Optimization
Google Cloud
Cloud Platform
GCP Compute Engine
Infrastructure
Next.js
Framework
PostgreSQL
Database
Docker
DevOps
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