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Mad Street Den

Computer Vision driven AI
Automation
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Mad Street Den

DEVELOPER
Mad Street Den
WEBSITE
SOCIAL
NETWORKS
SUPPORTED
PLATFORMS
STARTING PRICE
Contact sales
FREE TRIAL
PRICING TYPE
Contact-sales
CARD REQUIRED
BEST FOR
Business
SUPPORTED
LANGUAGES
EN
+ N more
See all
AI TEHNOLOGIES
Description

Mad Street Den is a computer vision and artificial intelligence company built on a mission to develop generalizable intelligence models that can be deployed at scale across industries. Founded in 2013, the company applies deep learning and visual recognition technologies to real-world business challenges, with a primary focus on intelligent automation for the retail sector.

The company's AI stack uses image and video recognition to automate key processes across traditional store environments and online retail operations. By applying computer vision to product and operational data, the platform enables intelligent retail automation that reduces manual workload and improves efficiency for large-scale retail businesses.

Vue.ai is the flagship brand through which Mad Street Den brings its AI capabilities to the retail industry. Beyond retail, the company is extending its computer vision and AI platform into healthcare, education, and finance, working toward a broader mission of enabling generalizable AI across industries.

Use cases
  • Automating product recognition in retail using image and video analysis workflows
  • Transforming traditional store operations with intelligent retail automation technology
  • Enabling online retail businesses to adopt AI-driven operational processes at scale
  • Applying computer vision to extract structured insights from retail product imagery
  • Deploying generalizable AI models across retail, healthcare, and finance industries
  • Using deep learning to power automation across large-scale retail business environments
  • Integrating artificial intelligence capabilities into retail platforms for operational efficiency
  • Applying visual AI to transform data processing and automation in retail workflows
Features
Image recognition, Video recognition, Intelligent retail automation, Computer vision, Generalizable AI models

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