Try-on technology that treats merchants as partners
Genvoris is built by a small, focused team that ships every line of code on the stack you see today — from the AI inference servers to the admin dashboard you are reading this on.
A note from the founder
I'm Sajjad Ali Babar, founder of Sajjad Corp. LTD and the engineer behind Genvoris. Before this, I spent years building computer-vision pipelines for production teams — the kind of work where you ship a model on Friday and watch it serve real customers on Monday.
Genvoris started with a simple frustration. Every demo of virtual try-on technology I saw was either gorgeous in a research paper and useless in production, or production-ready but priced like enterprise software that only 10 stores in the world could afford. Neither served the small and mid-sized merchants who actually need help with returns and conversion.
So I built what I wished existed: a try-on API and widget that drops into any storefront in minutes, runs at sub-second latency, and is priced so a store doing $10k/month can afford it from day one. Native plugins for Shopify and WooCommerce mean no theme surgery. OAuth handshakes mean no copy-pasted API keys. And every photo a shopper uploads is processed in memory and discarded — there is no “customer face dataset” sitting on our servers.
If you're reading this, you're probably evaluating us against larger names. I won't out-marketing-budget them. What I will do is answer your emails, ship fixes the same day, and keep the pricing honest. Try the free tier, install on your store, and tell me what you think.
— Sajjad · LinkedIn · GitHub · support@genvoris.org
What we believe
Four principles that decide every product and pricing call we make.
AI that ships
Try-on quality means nothing if it does not load on a real product page in under a second. Every model and pipeline decision is benchmarked against shipping latency, not lab metrics.
Privacy is the product
Customer photos are processed in memory and never persisted. No model retraining on user uploads. The dashboard never stores raw imagery — only request metadata.
Drop-in, not rebuild
A single script tag for any storefront. A native plugin for Shopify and WooCommerce. We meet merchants where they already are instead of asking them to rebuild a checkout.
Honest pricing
Transparent per-try-on cost, no surprise overage bills, plans you can downgrade as easily as you upgrade. Refunds within 14 days, no questions asked.
Built end-to-end in one month
From an empty repo to a production try-on platform with native Shopify and WordPress plugins — four focused weeks, no team, no shortcuts.
- 1
Research & architecture
Week 1Surveyed the virtual try-on landscape, benchmarked existing diffusion and GAN approaches, and picked a pipeline that could realistically hit sub-second latency on commodity GPUs. Drew up the system architecture: inference service, REST API, portal, native plugins.
- 2
AI pipeline & API
Week 2Built the end-to-end try-on pipeline (person segmentation → garment warping → diffusion-based synthesis) and wrapped it in a hardened FastAPI service with API-key auth, per-domain whitelisting, and credit metering on every call.
- 3
Portal, auth & billing
Week 3Shipped the Next.js portal with Clerk authentication, admin approval flow, domain verification, Stripe billing for credit packs, and a usage dashboard. All transactional emails went through a self-hosted mail microservice so the portal stays vendor-independent.
- 4
Native plugins & launch
Week 4Shipped the Shopify app (OAuth install, App Proxy widget, Shopify Billing) and the WordPress / WooCommerce plugin (five monetization models, GDPR webhooks). Submitted both for review, opened up the free tier, and started onboarding merchants. End-to-end build: one month.
Build try-on into your store
Free tier, no credit card required. Install via Shopify, WordPress, or a single script tag in your existing theme.