Qamera AI

🗒️ Description

AI-powered virtual photo studio for e-commerce. Users select, compare, and approve AI-generated product photography and video — zero prompting required.

Built by 200IQ Labs PSA where I’m CTO & Co-Founder (30% equity).

🧩 Key features:

• Packshot creation with automatic background removal
• AI custom models (virtual mannequins)
• AI scenery and backgrounds
• Photo sessions (batches of 10 per config)
• Video generation (HD, 5s clips)
• Reel editing (auto-montages)
• Style library (11+ pre-built visual styles)
• Teams with role-based access and credits system

Target market

Primary niche: swimwear & lingerie brands (high sizing complexity, ad censorship requiring constant fresh variants). Secondary: broader fashion e-commerce.

Technology

Next.js + Supabase (via Makerkit), Google Cloud, AI models (multiple providers).

99% of code changes are made by AI coding agents (Agentic Coding). I design the environment, agents implement.

🔗 Links

• About — my role
• PLSoft — my consulting practice (separate entity)
• Agentic Systems — agent architecture used in development
• agentic-ai-system — 200IQ LABS multi-agent advisory repo (orchestrator + context)
• Agentic AI Repos — full 3-repo architecture
• Spec-driven SEO and GEO — SEO foundation case study (2026-04, 9 spec-driven changes in 5 days)