Selectika · raw details

Visual AI and Personalization System for Online Retailers · Tel Aviv-Yafo · Founded 2020

active Pre-Seed ← back to profile

Highlights

1 patentProfile claimed by owner

About

Visual AI and Personalization System for Online Retailers

Selectika offers a real-time data and analytics system designed to help online retailers become more efficient even before the manufacturing process begins, while also providing marketing teams with actionable insights to improve customer engagement and retention. Selectika uses image recognition and data science to extract rich product attributes from the customers catalogue (e.g. fabric type, shape, neckline, style, occasion, etc.); analyzes shopper particulars, such as proportions, personal style, size, emotion, and so forth; and based on its algorithms, provides each shopper with their own optimized collection to choose from.

Identity

NameSelectika
Slugselectika
Former namesAskLily
Type / kindstartup
Crunchbase IDask-lily
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICA4MiOxNUIDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressHaHashmonaim St 103, Tel Aviv-Yafo, Israel

Web & social

Websitehttps://selectika.com/
LinkedInhttps://www.linkedin.com/company/18747210
Facebookhttps://www.facebook.com/selectikaai
YouTubehttps://www.youtube.com/channel/UCMbgCW14JqdvFqw6NZzGdgA
Instagramhttps://www.instagram.com/selectika_ai

Classifications

Primary sector Business Software
Sub-sectors
Business SoftwareSales & Marketing Solutions
Technologies
Artificial IntelligenceMachine LearningPlatforms & InterfacesWeb
Target customers
ConsumersProfessionals & Gig EconomyOnline RetailersCommerce & RetailDistribution ChannelseCommerce Platforms
Business models
B2BB2B2C
Tags
online-retailerstrading-and-investingimage-processingvirtual-assistantonline-shoppingweb-platformshopping-experienceecommerceartificial-intelligenceretailfashionmachine-learning

Funding

Total raised$500K
Current stagePre-Seed

Raw source document

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