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Angible

Angible provides an adaptive computer-vision platform that protects retail transactions by learning from each store's real-world environment and workflows. Its edge-based AI detects and analyzes items and movements in real time, requiring minimal hardware infrastructure to accelerate ROI. The solution is designed for seamless adoption by frontline store teams, backed by intuitive UX and training frameworks.

Taipei, Taiwan · HQ
Founded 202412500+ followers
Updated yesterday

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Retail self-checkout and store operations are vulnerable to transaction losses, shrinkage, and operational blind spots when traditional surveillance or rigid item-recognition systems fail to adapt to real-world store layouts, item variations, and evolving workflows. Heavy hardware requirements and complex integration further delay deployment and erode return on investment.

Solution

Angible delivers Adaptive Intelligence for storefronts, bridging advanced computer vision with daily retail operations. The platform uses high-precision, edge-level AI that learns from a store's actual environment to secure any item and any transaction workflow without imposing rigid constraints. Its infrastructure-light architecture maximizes cost-efficiency and speeds up ROI by minimizing hardware dependencies. The system operates in real time, detecting every movement and item, then analyzing interactions to identify anomalies or losses as they occur. Built with operational readiness in mind, Angible provides an intuitive user experience and training frameworks that drive adoption among frontline employees, ensuring the technology translates into sustained profitability and seamless store adoption.

Target Audience

Retailers operating self-checkout lanes and physical storefronts—from mid-sized chains to large enterprises—that need computer-vision-driven loss prevention, transaction security, and operational intelligence across their locations.

Features

  • Adaptive computer-vision sensing that captures real-time movements and items, ensuring no interaction goes unnoticed
  • Edge-level AI that learns from each store's specific environment and workflows, enabling workflow-agnostic protection
  • Infrastructure-light architecture that reduces hardware burden and accelerates return on investment
  • Intuitive UX and training frameworks designed for frontline adoption and long-term operational success
  • Real-time analytics pipeline that converts detected visual data into actionable protection and loss-prevention insights
  • Built for scalable deployment, supporting thousands of stores and devices with high precision (97.4%)
This profile is AI-generated and may contain inaccuracies.