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Precog - Image Recognition Software

Precog

Efficiently decode images with Precog's precision technology.

Precog offers custom pricing plan

7.4/10

Spot Score

Overview of Precog

What is Precog ?

Precog provides real-time image recognition and prediction for computers. With unprecedented performance, Precog is faster, has better accuracy and consumes less resources than other commercial intelligent image recognition software. Equipped with a graphical query language, clients can easily specify what ... Read More

API not available

Precog Platforms

  • Browser Based (Cloud)
  • Mobile - Android
  • Mobile - iOS

Precog Customer Type

  • Individuals
  • Medium Business
  • Small Business

Precog Features

Show All

Pricing of Precog

  • Quotation Based

Precog Alternatives

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9.8/10

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Empower your images with AI technology.

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Unlock visual recognition with advanced AI technol...

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ShelfWatch - Image Recognition Software

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Boost sales with precise shelf insights.

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Precog FAQs

Precog is a Image Recognition Software. Precog offers the following functionalities:
  • Facial Recognition
  • Object Detection
  • Auto-tagging (Image)
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Here's a list of the best alternatives for Precog
No, Precog doesn't provide API.
Yes, Precog provides mobile app.
Precog is located in Mumbai, India
Precog offers Quotation Based pricing model
We don't have information regarding integrations of the Precog as of now.

Precog Support

Customer Service

Online

Location

Mumbai, India

Read More about Precog

Precog provides real-time image recognition and prediction for computers. With unprecedented performance, Precog is faster, has better accuracy and consumes less resources than other commercial intelligent image recognition software. Equipped with a graphical query language, clients can easily specify what information they need to identify in the images and Precog will answer by providing accurate high level results needed immediately.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

Researched by Rajat Gupta