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Keen AI

Keen AI provides an AI-powered operating system for visual asset management, enabling users to collect, share, and analyze visual data. It specializes in assessing asset conditions and predicting future states, helping industries make informed decisions.

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Keen AI screenshot

Keen AI is a leading provider of AI-powered solutions for visual asset management. The company has developed an operating system that leverages machine learning and AI to collect and process video and images at scale. This allows users to accurately assess the condition of their assets and make informed decisions about their future state.

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Keen AI specializes in creating cutting-edge AI systems that empower customers to easily collect, share, and analyze critical visual data. The platform is particularly focused on the management of overhead line (OHL) assets, providing autonomous systems to collect data and assess future conditions. This is achieved through the development of a Foundational Shared Model (FoSMo) for asset management in collaboration with National Grid and Ofgem’s Strategic Innovation Fund.

The platform also addresses the risks posed by geomagnetically induced currents (GICs) to national power grids, offering interactive visualizations to understand these risks. Keen AI's advanced AI models can identify corrosion on steel structures, detect components and defects on power lines, and even identify invasive species from satellite imagery.

Keen AI's solutions are trusted by industry leaders and are used across various sectors, including electricity networks, manufacturing, rail networks, and road networks. The company is the largest processor of OHL transmission line data in the UK, with a presence in Asia and Australia.

The platform's features include asset inventory verification, corrosion detection, vegetation monitoring, and condition assessment. It provides a centralized data sharing system, enhancing collaboration and efficiency. Keen AI's solutions are designed to reduce costs, increase productivity, and improve data quality, making it an invaluable tool for asset managers.

  • CategoryComputer Vision Tools
  • DeploymentCloud
  • PlatformsSuperconductor

  • AI-powered visual asset management

  • Machine learning for video and image processing

  • Autonomous data collection systems

  • Condition assessment and prediction

  • Corrosion detection on steel structures

  • Invasive species identification

  • Centralized data sharing

  • Collaboration with National Grid and Ofgem

  1. Collect: Gather visual data using drones, satellites, or vehicles

  2. Upload: Seamlessly upload data to the platform

  3. Analyze: Use AI models to assess asset conditions

  4. Share: Collaborate and share insights with stakeholders

  • Asset Management
  • Corrosion Detection
  • Invasive Species Detection
  • Geomagnetic Storm Planning
  • Data Sharing

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