INDUS.AI (Acquired by Procore Technologies)

www.indus.ai

The world's biggest construction sites rely on the indus.ai. platform to stay on budget. The indus.ai SaaS 3D computer vision platform enables developers, project managers, and general contractors to optimize labor, equipment, and materials. Indus.ai, Inc. develops and licenses its artificial intelligence construction analytics platform that counts trucks, material arrivals, and measures equipment productivity. It provides advanced real-time project controls for reconciling over-billed charges and correcting schedules. Clients have used the platform to reduce delays, increase billing accuracy, and optimize resources. The platform uses live video streams from secure IP cameras to uncover inefficiencies on construction sites. The software is powered by a proprietary machine vision neural network that can accurately recognize 100+ types of construction equipment and activities. Founded in 2017, Indus.ai, Inc has offices in San Francisco, and Toronto.

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The world's biggest construction sites rely on the indus.ai. platform to stay on budget. The indus.ai SaaS 3D computer vision platform enables developers, project managers, and general contractors to optimize labor, equipment, and materials. Indus.ai, Inc. develops and licenses its artificial intelligence construction analytics platform that counts trucks, material arrivals, and measures equipment productivity. It provides advanced real-time project controls for reconciling over-billed charges and correcting schedules. Clients have used the platform to reduce delays, increase billing accuracy, and optimize resources. The platform uses live video streams from secure IP cameras to uncover inefficiencies on construction sites. The software is powered by a proprietary machine vision neural network that can accurately recognize 100+ types of construction equipment and activities. Founded in 2017, Indus.ai, Inc has offices in San Francisco, and Toronto.

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Country

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State

California

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City (Headquarters)

San Francisco

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Employees

11-50

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Founded

2017

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Estimated Revenue

$100,000,000 to $250,000,000

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Social

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Potential Decision Makers

  • Data Administrator

    Email ****** @****.com
    Phone (***) ****-****
  • Machine Learning Scientist

    Email ****** @****.com
    Phone (***) ****-****

Technologies

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