AI SaaS to digitize, personalize, and circularize fashion
Redesigning Circular Fashion with AI
Ammayi is an AI-powered platform that digitizes products and components, automates design logic, and enables circular product creation.
Built for designers, luxury brands, and sustianable leaders looking to cut costs reduce waste and returns, and personalization at scale.
From Scraps to Luxury Products
Dead Stock
Luxury Unsold items
Design Cost
Waste in the fashion industry is expensive
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~92 million tons of textile waste per year
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~30% of raw materials go unused (Billions lost)
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~Design costs: $200–$500 per hour
REIMAGINE
WHAT
RECYCLING CAN'T
Why settle for less when intelligent repurposing adds elegance and worth?
Elegance
retained
Circular Design, Powered by AI
Give your team the tools to identify, redesign and reimagine new patterns and products
Cut costs, reduce waste, and accelerate design-to-production
AI-Powered
materials and components
recognition
Automatic detection of parts and its features
Upload any image or scan of the item and get information on fabric type, color, texture, and component parts
3D Digital
Twin Creation
Generate a precise 3D twin of any scanned product
Ammayi maps surface geometry and reusable segments - for traceability, reuse planning and DPP compliance
Design Recommendation
Engine
New product designs from combination of raw material and dead stock inventory
Balancing availability, reuse logic, and luxury aesthetics, this engine guides intelligent repurposing
Automated
Cut Pattern Generation
Generates cut patterns optimized for product shape and customer fit
This tool gives the cut patterns optimized with available material shape and size constraint dramatically reduces design labor cost and time to prototype.
3D Preview
Before Production
Visualize the proposed design in 3D, adjust fit and fine tune in real time
Reduced the risk of error and ensures production-ready output.
Cost Analysis
Predict final cost for production
Inbuilt tool to analyze the sourcing, production and shipment cost for final product output.