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Sipaara press kit

Sipaara is an AI-powered beauty marketplace that helps consumers discover skincare and beauty products matched to their skin.

Press contact

Founder

Sadik Ratankhan

Founder & CEO, Sipaara AI Technologies

Building AI-native beauty commerce and skin intelligence for India.

Sadik Ratankhan is the Founder and CEO of Sipaara AI Technologies, the company behind Sipaara — an AI-powered beauty marketplace and B2B Partner API for skin analysis, personalized recommendations, and product discovery.

He is also the Founder and CEO of Helpert Technologies, an AI-powered one-on-one consultation platform that connects people with experts worldwide through direct video calls — helping users solve problems, grow their businesses, and build meaningful connections.

Through Sipaara, he is working to close the gap between skin understanding and product choice: giving everyday shoppers dermatologist-style insights, and giving brands a white-label way to offer the same experience on their own platforms.

  • Founder of Sipaara AI Technologies and the Sipaara consumer marketplace
  • Creator of the Sipaara Partner API for brands, retailers, and clinics
  • Also founded Helpert Technologies — an AI consultation platform for 1:1 expert video sessions
LinkedIn profile

What Sipaara does

AI skin analysis

Free, browser-based skin scans that detect concerns such as acne, dark spots, redness, pores, and uneven tone.

Personalized beauty recommendations

Product matches based on skin analysis results, ingredients, concerns, and skin type compatibility.

Beauty marketplace

A multi-brand storefront where shoppers discover skincare, makeup, hair care, fragrance, and more in one place.

Skincare discovery

Browse by concern, category, and brand — with AI-guided paths from analysis to the right products.

Sipaara Partner API

A B2B API and embeddable widget that lets beauty brands, retailers, clinics, and platforms add AI skin analysis to their own sites — matched to their product catalog.

  • REST API plus one-script embed (widget.js) for modal or inline scans
  • 30+ skin metrics and concern maps per scan; up to 10 ranked product matches from the partner catalog
  • White-label branding, domain allowlisting, and prepaid scan units — no monthly minimum
  • Built for D2C skincare, beauty retailers, clinics & spas, and agencies

Media-ready facts

Company
Sipaara AI Technologies
Consumer brand
Sipaara · www.sipaara.com
Founded
2026
Location / market
India (nationwide e-commerce)
Product categories
Skincare, makeup, hair care, fragrance, bath & body, tools & accessories
Technology
Multimodal AI vision (Google Gemini, OpenAI, Anthropic Claude), AI skin analysis, virtual try-on, recommendation engine, B2B Partner API, Next.js marketplace platform
Target customers
Beauty and skincare shoppers in India seeking personalized, AI-guided product discovery
Website
www.sipaara.com
Press contact
sales@sipaara.com

Need a horizontal lockup, print-ready PNG, or other formats? Email our press contact above.

Press assets

Sipaara wordmark — Orchid Glow (SVG)

Sipaara wordmark — Orchid Glow (SVG)

Primary horizontal logo with orchid-to-magenta gradient and star accent. Use in header, marketing, and light backgrounds.

Download SVG
Sipaara wordmark — footer / on dark (SVG)

Sipaara wordmark — footer / on dark (SVG)

Light silver wordmark for the consumer footer and other dark or saturated purple backgrounds.

Download SVG
Sipaara brand mark (SVG)

Sipaara brand mark (SVG)

Compact AI skin-scan diamond with scan beam and corner brackets. Best for small UI slots; includes animated scan cycle.

Download SVG

Boilerplate for journalists

Sipaara is an AI-powered beauty marketplace built for India, connecting skin analysis with shopping in one seamless experience. Consumers can take a free AI skin scan, get personalized product recommendations, try makeup virtually, and shop skincare, makeup, and beauty from multiple trusted brands — without the guesswork. Sipaara also offers a B2B Partner API, enabling brands, retailers, clinics, and platforms to embed white-label skin analysis on their own websites, matched to their product catalogs.