KWANTA.AI
The agentic OS for beauty & fashion retailers.
Dashboards describe. Agents decide.
Beauty + fashion is retail’s largest data‑rich, decision‑poor category — and the agentic operating layer is unbuilt.
$600B + $1.7T category
Beauty and fashion together. Global, growing, and still run on dashboards. No incumbent owns the agentic operating layer — SAP and Oracle move too slow, Shopify sits below the wedge, generic AI doesn’t speak retail.
Highest signal density in retail
Every sale, return, drop, creator, and post is signal. Today none of it converts to action automatically. Closing the loop is direct margin and a compounding data moat.
Operating layer wide open
Multi‑store accuracy sits at 63–70%. Attribution from TikTok / Instagram / creators is uncaptured. Decisions still flow through spreadsheets and meetings. Whoever builds the agentic OS first owns this category.
Why now
Beauty and K-beauty are accelerating across Europe and Central Asia. AI orchestration is finally reliable enough for revenue-critical retail workflows — not just dashboards. The category still has no winner.
Market wedge
| Global beauty & personal care | ~$600B category |
|---|---|
| Global fashion retail | ~$1.7T category |
| Poland cosmetics | Fast growth, strong entry point |
| Kwanta wedge | 3–50 store beauty & fashion chains in Kazakhstan and Poland |
One system. Three layers.
Data harness
Migrates, cleans, structures, and categorizes messy historical retail data — automatically.
Agent layer
Forecasting, replenishment, pricing, assortment, attribution, clienteling — purpose-built for beauty + fashion.
Operator app
Live visibility, approval workflows, and controlled automation. Humans stay in the loop where it matters.
Sold in two countries. Before v1 shipped.
Two paying beauty retailers are integrating Kwanta today — Mir Kosmetiki in Kazakhstan and a multi‑store cosmetics chain in Poland. Onboarded before the final product shipped, because the system already moves their P&L.
Not pilots. Not LOIs. Two paying retailers — across two countries — before v1.
Two paying retailers. Two countries. Before v1.
Why this team wins
NielsenIQ-trained operator with deep exposure to enterprise consumer analytics. 10+ years in fashion retail and a strong commercial track record.
Founder‑engineer. 60+ systems shipped, deep e-commerce and AI implementation experience, ships core product extremely fast.
Business model
KWANTA POS
$20/moEntry wedge — system-of-record adoption unlocks data capture.
KWANTA Intelligence
$500–1,000/store/moCore agent layer. The decisioning brain on top of POS + data.
KWANTA Data API
Network revenueAnonymized store-SKU-campaign intelligence sold as the network densifies.
Raising €500K · pre-seed.
What we’ll do with €500K
- 50 live retailers across Kazakhstan and Poland.
- 5+ production agents deployed end-to-end.
- First version of the data layer + API roadmap.
- Visible ARR, retention, and network-effect proof for the next round.
Closing thesis
Kwanta is not another analytics dashboard. It is the operating system for beauty and fashion retail in CIS and CEE — built to make decisions faster than the market moves.