Technology stack
- Python
- NLP Semantic Search
- Laravel
- React
- Visual Search
About the project
Koloden was created to help merchants and brand owners identify infringement risk before it becomes an operational or legal problem. We built a platform that combines marketplace data, semantic analysis, and image-based comparison to help users validate listings and surface risk with much less manual investigation.
The challenge
Online sellers faced a costly manual process for checking listings against trademarks, copyrighted content, and product databases. The work required both textual and visual matching at scale, and the consequences of missing issues could include frozen accounts, fines, or legal action.
Our solution
We developed a web platform that brings together marketplace integrations, NLP-driven text search, visual similarity analysis, and workflow tooling for validation and reporting. The system helps users inspect listing titles, descriptions, logos, and images against large proprietary datasets while keeping the experience simple enough for operational teams to use daily.
Results & impact
Koloden gained a proactive risk-detection workflow that reduces manual review, helps surface infringement issues earlier, and gives merchants a stronger way to act before listings create account or legal exposure.