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CVEDIA Review: Is It The Right Image Recognition Software For Your Team?

Best for SMB teams · Mid-market · Enterprise

Free Trial Available

SOC 2
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CVEDIA offers custom pricing plan

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VivintVivint

Trusted by many companies including Siemens

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What is CVEDIA?

CVEDIA creates robust and adaptable computer vision algorithms using synthetic data. Our synthetic algorithms can be developed in just 2-4 weeks for scenarios where collecting real data is impractical. We are the only company specializing in synthetic data that addresses domain adaptation, enabling the creation of reliable algorithms without the need for any real-world data.

Pricing

  • CVEDIA offers custom pricing plan

  • Free Trial available

Best For

Suited for solo users, small teams, SMBs, and enterprise

Security & Compliance

SOC 2
  • Data residency:🇺🇸

CVEDIA Screenshots

CVEDIA was reviewed internally using user feedback, in-house testing, and market research to assess its performance, reliability, and user experience. Learn how we review products and our evaluation process.

Who should consider CVEDIA

Team types
Large Enterprises, Medium Business
Free trial available

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Still comparing?

See how it stacks up

Compare CVEDIA side-by-side with top Image Recognition Software alternatives.

Clarifai
Hasty
Amazon Rekognition
+7 more
Compare alternatives

What is the pricing of CVEDIA?

CVEDIA uses custom pricing — plans are tailored to your team size and needs. Contact them for a quote.

Free TrialAvailableTry Now →
PricingCVEDIA offers custom pricing
Pricing Model
Quotation Based

What are the features of CVEDIA?

32%

Feature coverage

8 of 25 tracked features

Auto-tagging (Image) is a feature that utilizes advanced image recognition technology to automatically assign relevant tags or labels to ima…

Custom Classification is a feature that is commonly found in software applications. It is a method of organizing and categorizing data in a…

Explicit content detection is a crucial feature in modern software systems, especially those that deal with multimedia content such as image…

Facial analysis is a unique feature that uses advanced technologies to analyze and interpret facial expressions, features, and emotions. It…

Facial recognition technology is a cutting-edge feature that allows software to identify and authenticate an individual's face. It works by…

Image classification is a feature commonly utilized in various software applications to automatically identify, categorize, and organize dig…

Object detection is a powerful software feature that allows users to identify and locate different objects within an image or video. It util…

Scene detection is a feature that is commonly found in video editing software, designed to simplify the process of editing and organizing vi…

Security & Compliance

CVEDIA security and data handling

Key compliance certifications and security features for IT and security teams evaluating CVEDIA.

Certifications

SOC 2✓ Certified
HIPAA✗ Not certified

Developer & data

Data residency
🇺🇸

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CVEDIA Customers

Siemens-logo

Siemens

Airbus-logo

Airbus

Ford-logo

Ford

Vivint-logo

Vivint

Help & Contact

CVEDIA Support Options

Customer ServiceOnline
LocationLondon

Connect with CVEDIA

Frequently Asked Questions About CVEDIA

Common questions buyers ask before choosing CVEDIA.

CVEDIA is a Image Recognition Software. CVEDIA offers Object Detection, Custom Classification, Image Classification, Auto-tagging (Image), Facial Recognition and many more functionalities.

Some top alternatives to CVEDIA includes Clarifai, Hasty, Amazon Rekognition, Azure Custom Vision Service and Azure Video Indexer.

CVEDIA offers Quotation Based, Free Trial pricing models

We don't have information regarding integrations of the CVEDIA as of now.

The starting price is not disclosed by CVEDIA. You can visit CVEDIA pricing page to get the latest pricing.

Ready to try it?

Get started with CVEDIA

Start your free trial — no credit card required.

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

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