Resonance offers a cloud‑based platform that uses AI simulation to evaluate garment designs for feasibility, cost and waste before any material is cut, then translates validated designs into production‑ready code. The system routes orders through a global network of factories, optimizing for capacity, carbon impact and quality, while blockchain‑anchored provenance provides immutable proof‑of‑production and automated escrow payments. This enables fashion brands and designers to produce on‑demand, zero‑waste garments with full traceability.
Funding
$22.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Fashion manufacturers face high overproduction waste, long lead times, and fragmented supply chains that limit scalability and sustainability. Designers and brands lack tools to validate manufacturability and trace provenance before production begins, leading to costly errors and inventory risk.
Solution
Resonance provides a cloud‑based platform that transforms design concepts into executable manufacturing intent using AI‑driven simulation and cost validation. The system maps intent to all feasible construction paths, compiles site‑aware code, and routes orders to a global network of factories optimized for value, capacity, carbon impact, and quality. Each garment is tracked with blockchain‑anchored provenance, delivering tamper‑proof proof‑of‑production, automated quality contracts, and escrowed payments. Real‑time learning from every production event continuously re‑optimizes the supply chain, enabling zero‑waste, on‑demand manufacturing at scale.
Target Audience
Primary customers are fashion brands, apparel designers, and manufacturers seeking on‑demand, low‑waste production with full traceability, as well as marketplace platforms that enable creators to launch garments without inventory.
Features
- AI simulation engine that evaluates design feasibility, cost, and waste before any material is cut
- Volumetric genome mapping of garment construction paths across material, body, color, and trim options
- Transformer‑style LLM supply‑chain model that tokenizes orders, materials, machines, and customers for real‑time re‑planning
- Blockchain‑based provenance records providing immutable on‑chain product histories and automated escrow settlements
- Dynamic value‑chain network that routes heterogeneous orders to the most suitable factory based on capacity, carbon footprint, and quality metrics
- Integrated quality contracts and proof‑of‑production tokens that enforce compliance and enable traceability for brands and consumers