Complete the look
Champagne crossbody
Pairs with your last three evening try-ons. Budget-safe vs. your $280 ceiling.
Why: memory.history ∋ evening · prefs.palette ∋ champagne · fit.bag = crossbody
On-device neural stylist · online
Speak it. See it on you. Buy it instantly.
Your personal fashion OS for the next era
EchoStyle is your Personal Fashion Manager — every preference, try-on, and purchase compounds into private on-device style memory, then projects looks onto your avatar in real time.
<120ms
Voice parse latency
100%
Style memory local
4+
Outfit layers live
Interactive simulation
Speak a style. Watch the system respond.
Type a request or tap the mic for a simulated voice capture. EchoStyle runs a mock pipeline: parse → Personal Fashion Manager → search → ranked try-ons.
Style console // v0.9
Ready · on-device mock
Neural pipeline
No run yet
Enter a prompt or tap the mic to simulate a voice request.
On-device intelligence
A Personal Fashion Manager that only lives with you
Every signal compounds. Sizes, banned colours, try-on feedback, and purchases train a private memory layer — powered by local Gemma 4 when available.
Body & fit graph
AU sizes first, mapped to US/EU only when a retailer requires it.
Style embeddings
Local vectors over notes and events — so “more like last month’s blazer” actually works.
Zero cloud twin by default
Photos and personal prompts stay on-device. Network is for product discovery, not training.
0
Cloud body scans
∞
Style iterations
1
Device, your OS
Cumulative wardrobe
Watch your style system grow
Not a static closet app — a living grid of pieces you’ve considered, tried, and kept. Each slot is a memory event in your fashion manager.
Style density
0%
Recommendation engine
AI that explains why
Related pieces and “complete the look” suggestions — always grounded in your memory, not generic trend noise.
Weather-aware
Breathable wide trousers
Warm-city signal active. Heavy wool suppressed from your reject stream.
Why: climate.warm · reject.wool · style.coastal boost +0.32
Style evolution
Structured neon-edge blazer
You liked structured shoulders twice; system explores a cyber accent without yellow.
Why: like.structure ×2 · ban.neon-yellow · explore.accent = cyan
System flow
Four beats from intent to identity
The fashion manager loop: capture intent, fuse memory, visualise on you, commit and learn.
-
01 // CAPTURE
Speak or type
Natural language intent — occasion, palette, budget, constraints — voice-first, text always available.
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02 // FUSE
Personal Fashion Manager merge
Local retrieval over sizes, bans, and history ranks what is worth showing before any scroll.
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03 // PROJECT
Virtual try-on
Garments composite onto your avatar. Layers stack. Feedback trains the next shortlist.
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04 // COMMIT
Wallet & evolve
One-tap partner checkout. Purchases and rejects write back into your private style graph.
Identity arcs
Style that compounds
Illustrative evolutions from people who treat fashion as a system, not a feed.
“I stopped open-tab chaos. I speak the occasion once — the manager remembers I never wear yellow.”
→
From random greys
Structured cyan nights
“Try-on on my photo ended most returns. The wardrobe grid finally looks like one person designed it.”
→
From trend chase
Soft neutrals that fit
“Privacy is the feature. Knowing my Personal Fashion Manager stays on-device is why I finished onboarding.”
→
From zero trust
Private, confident buys
Trust layer
High-tech does not mean high-surveillance
Fashion is intimate. EchoStyle defaults to on-device inference and storage so your avatar, sizes, and memory graph never become someone else’s training set.
On-device by default
Profile, photos, and memory events stay local unless you choose otherwise.
Minimum network surface
Product search uses only what shopping requires — not a permanent cloud twin.
Hard delete
Clear memory and avatar files from Profile whenever you want a clean slate.
Early access
Your fashion OS is almost here
Speak a look, see it on you, and build a private style system that compounds over time. Be first in line when EchoStyle launches.
Coming Soon to iOS & Android
Free at launch · no spam, early-access only. Privacy Policy · Terms