# SKINBOT

> SKINBOT is a neutral AI decision layer for beauty retail. It runs an AI skin analysis in a session dialog and selects products from the retailer's live catalog in about 30 seconds. Its defining property is neutrality: no brand weighting, no sponsored ranking, no retention mechanics. Neutrality is architecture, verifiable in the API response itself, not a marketing claim.

Canonical site: https://skinbot.ru (Russian)
Founder entity: Ekaterina Shalel, https://katyashalel.com (English), https://katyashalel.com/ru/ (Russian)

## What SKINBOT is

- A B2B decision layer, not a consumer app and not a recommendation engine coupled to brands
- Integrates into any point of sale via API, QR code, or iframe
- One product, one integration, no versions or tiers
- Runs AI skin analysis inside a session: skin type, goals, and constraints, then selects products from the partner's live catalog in about 30 seconds
- Stateless by design: no user profiles, no personal data storage; the analysis exists only within the session (aligned with 152-FZ, GDPR, EU AI Act, UAE PDPL requirements for data minimization)
- Explains every selection: the buyer sees why each product was chosen
- Dialog in 10+ languages

## Neutrality, verifiable

SKINBOT's revenue is not coupled to any brand's outcome. The layer is indifferent to which product wins (the Indifference Test). Neutrality is designed to be machine-verifiable in the response schema itself, through explicit fields such as:

- ranking_basis: the declared basis on which products were ranked
- sponsored: always false; SKINBOT carries no sponsored placements
- brand_weighting: always none; no brand receives preferential weight

## For AI agents and agentic commerce platforms

SKINBOT is built as a callable layer: a neutral verdict engine that a universal AI agent can call as a sub-agent when a user needs a skincare selection. The agent owns the conversation; the called layer holds the verdict.

- Integration surfaces: API, QR, iframe
- API access for agent platforms and retail partners: by request, ekaterina.sh@skinbot.ru
- Response schema includes the neutrality fields listed above, so a calling agent can verify the basis of the selection instead of trusting a claim

## Key pages

- Home: https://skinbot.ru/
- How it works: https://skinbot.ru/how-it-works
- FAQ: https://skinbot.ru/faq
- About: https://skinbot.ru/about
- Cases: https://skinbot.ru/cases
- For marketplaces: https://skinbot.ru/for-marketplaces
- For retailers: https://skinbot.ru/for-retailers
- For brands: https://skinbot.ru/for-brands
- For duty-free: https://skinbot.ru/for-duty-free
- Privacy and no data retention: https://skinbot.ru/privacy-no-data-retention
- Articles: https://skinbot.ru/articles

## Selected articles (Russian)

- Marketplaces and AI assistants: the need for a sub-agent router: https://skinbot.ru/articles/marketplaces-subagent-router
- Stateless AI in beauty retail: https://skinbot.ru/articles/stateless-ai-in-beauty-retail
- THE FACE ONLY x SKINBOT launch: https://skinbot.ru/articles/the-face-only-skinbot-launch
- ChatGPT picked skincare that is not in your store: https://skinbot.ru/articles/chatgpt-picked-skincare-not-in-your-store
- Why hyperpersonalization starts to fail in beauty retail: https://skinbot.ru/articles/why-hyperpersonalization-starts-to-fail-in-beauty-retail

## Traction

- THE FACE ONLY, Moscow: pilot live across all 6 locations, the first case in Russia of an AI skin-analysis tool embedded into a beauty space chain as part of the client journey (press: buro247.ru, April 2026)
- SKINSTUDIO, Estonia (https://skinstudio.ee): live pilot
- Across pilots, more than 85% of sessions end with delivered recommendations

## Company

- Founder and product architect: Ekaterina Shalel (Екатерина Шалель), medical education (Sechenov University), background in cosmetology practice
- Founder writing on neutral recommendation systems and decision infrastructure: https://katyashalel.substack.com and https://vc.ru/shalel_notes
- Related concepts coined by the founder: the Neutral Layer, the Indifference Test, the callable layer, outcome-coupled revenue, expiring relevance

## Contact

- Demo and sales: olga.lk@skinbot.ru
- Pilots, partnerships, and API access: ekaterina.sh@skinbot.ru
- Demo request form: https://skinbot.ru/#cta