Industries › Fashion-Tech
Fashion-Tech
engineering, built to scale.
We design and build high-load fashion technology platforms — AI-driven trend forecasting, virtual try-on infrastructure, connected wearables, manufacturing SaaS and resale marketplaces — for fashion-tech founders and CTOs that need senior engineering they can trust for years.
Where our fashion-tech practice stands
Fashion-Tech software development capabilities
What we build for
fashion technology companies.
Six core engineering capabilities — applied across AI fashion platforms, AR try-on apps, smart wearables, resale marketplaces and manufacturing SaaS.
AI & ML Fashion Pipelines
Real-time trend forecasting from social media and runway data, image recognition for product tagging, recommendation engines that learn from streaming user behaviour. Production-grade machine learning that handles millions of events per second, not academic prototypes.
Virtual Try-On & AR Infrastructure
Backend for virtual try-on applications, cloud rendering pipelines, 3D garment processing, mobile AR integration. We engineer the heavy lifting behind the camera — so your front-end stays smooth on every device.
Connected Wearables & Smart Apparel
BLE firmware, mobile pairing flows, OTA firmware updates, cloud telemetry for smart wearables and connected garments. The same IoT stack we use for hundreds of thousands of connected devices — applied to wearables.
High-Load Fashion eCommerce Backend
Multi-tenant marketplace infrastructure, real-time inventory synchronization, payment integration, fraud detection. Backend architectures designed to survive flash drops, viral moments and traffic spikes that crash typical Shopify-grade stores.
Fashion Supply Chain & Manufacturing SaaS
B2B platforms connecting brands to manufacturers, factories and logistics partners. Real-time production tracking, sample workflow management, sustainability and traceability (DPP, EU Digital Product Passport readiness).
Resale, Rental & Circular Fashion Platforms
Peer-to-peer marketplace engineering, identity verification, authentication workflows, condition grading, rental logistics. The high-throughput infrastructure behind circular fashion businesses that handle millions of listings.
A representative engagement
FashionAI Stylist — a mobile AI personal stylist in your pocket.
FashionAI Stylist is a consumer mobile application that solves a daily problem millions of people share — what should I wear today? We're building the platform alongside the founders: backend, AI pipelines, mobile app, and the foundation it runs on.
For the AI styling engine, we chose a stack built around Python and PyTorch for the recommendation models, Elixir/OTP for the real-time backend that serves personalized outfits in milliseconds, and React Native for the cross-platform mobile experience. This combination matches the product's reality: heavy ML workloads under the hood, sub-second responsiveness on top, and a single mobile codebase across iOS and Android.
Why this stack? Python remains the de-facto language of computer vision and recommendation systems. Elixir gives us the concurrency to handle thousands of style-recommendation requests per second without scaling our infrastructure budget. React Native lets a small senior team deliver feature parity on both platforms without the cost of two separate native apps.
Fashion-Tech sub-verticals we serve
Where fashion meets engineering depth.
The Fashion-Tech market is fragmenting into a dozen distinct technical problems. We engineer for the ones that demand real-time, high-load, IoT or AI infrastructure.
AI Trend Forecasting
Real-time fashion signal ingestion from social, runway, retail data. Predictive analytics for buyers, merchandisers and product teams.
Virtual Try-On & AR
Cloud-rendered AR garments, 3D body modeling, mobile try-on apps. Backend infrastructure that scales beyond demo-grade prototypes.
Smart Sizing & Fit AI
ML-based sizing recommendations, fit prediction models, body scan integration. Reduce returns and improve conversion at scale.
Live & Shoppable Streaming
Sub-second video streaming, real-time chat, in-stream commerce, fraud detection. Infrastructure for fashion live-shopping platforms.
Connected Wearables
BLE firmware, mobile pairing, OTA updates, cloud telemetry. The connected garments and smart accessories category — engineered properly.
Manufacturing Platforms
B2B SaaS connecting brands and factories. Sample tracking, production workflow, sustainability traceability, EU Digital Product Passport.
Why fashion-tech founders work with us
Six things our long-term fashion partners stop worrying about.
The boring infrastructure problems that keep fashion-tech CTOs awake at night — eventually solved, then engineered out of existence.
Scaling without rewriting from scratch
Fashion platforms often hit Series B and discover that their original architecture can't handle 10× the load. We engineer fashion-tech systems for the scale you're heading toward — not the one you have today.
R&D cost that goes down as you grow
Properly architected fashion technology platforms get cheaper to operate as they scale. Most of our partners see 30–60% infrastructure cost reduction once we re-architect for the load patterns they actually have.
Real-time at the speed fashion demands
Drops, flash sales, viral moments — fashion is a real-time business. We use the same Elixir/OTP foundation that powers WhatsApp, Discord and Klarna to keep your platform responsive when the spike actually comes.
AI and ML that ship to production
Most ML fashion projects die in the notebook. We build end-to-end inference pipelines — feature stores, model serving, monitoring, drift detection — so your AI models survive contact with real users at real scale.
Compliance ready for global expansion
GDPR, SOC 2, ISO 27001, and EU Digital Product Passport readiness applied at the architecture level. Engineered into the data layer from day one — not bolted on before audit deadlines.
A senior team that won't disappear
Our average fashion-tech partnership runs 3+ years. Every engagement is led by experienced VPs of Engineering and principal engineers — never delegated to junior teams or account managers.
Discuss your fashion-tech build.
Tell us what you're building, where the system breaks under load, and what scale looks like in twelve months. A senior engineer will write back within two business days.
Recognized by Clutch
HubSpot form (portal 242984681, form ba6582dd-2a5a-4698-8d78-3ddcc471cb4e) — loads on the client.
We work with a deliberate roster of clients each year. If we're not the right fit, we'll tell you — and point you somewhere that is.