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Nilum

Nilum applies artificial intelligence to the second-hand market, letting buyers describe what they want and then tracking listings across fragmented resale platforms to alert them when a matching item appears. The service reverses the traditional discovery model so pre-owned goods find the buyer, eliminating endless scrolling and constant refreshing. An iOS app is available for users to access the service.

Traction –/10
Stockholm, Sweden · HQ
10+ followers
  • Commerce & Shopping
  • Artificial Intelligence
  • Software Only
Updated 8 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Every second-hand item is unique—even similar goods differ in condition, price, and history—yet listings are scattered across fragmented marketplaces. Finding a specific pre-owned item requires endless scrolling, constant refreshing, and a significant amount of luck, especially since items disappear permanently once sold.

Solution

Nilum applies artificial intelligence to the second-hand market, connecting buyers with pre-owned goods that match their specific needs. Users simply tell the platform what they are looking for, and Nilum tracks listings across the resale ecosystem, alerting them when a matching item becomes available. This reverses the traditional discovery model so the second-hand gems find the buyer, rather than demanding the buyer hunt for them. The service is designed to make second-hand shopping frictionless and efficient while supporting affordable and sustainable consumption choices.

Target Audience

Primary users are individual consumers seeking affordable and sustainable alternatives to new products, particularly those frustrated by the time-consuming hunt for specific second-hand items.

Features

  • AI matching engine that identifies relevant pre-owned items based on user-provided descriptions and preferences
  • Listing monitoring and real-time alerts that notify users when matching items appear or become available
  • Coverage across the fragmented second-hand marketplace, sparing users from manually checking multiple platforms
  • Focus on item uniqueness by considering condition, price, and other distinguishing characteristics in matching
  • Native iOS application for convenient access to the service
This profile is AI-generated and may contain inaccuracies.