Akridata

Akridata Named a Vendor to Watch in the IDC MarketScape for Worldwide Data Labeling Software Learn More

Identify Defects,
Improve Quality and Cut Costs

Akridata optimizes your image inspections — for product manufacturing, asset monitoring, and more — by applying deep learning to your computer vision models.

Trusted by leading AI and data science teams

SOLUTION

Computer vision for visionaries

Product & Asset Inspection

For manufacturers & equipment operators

  • Catch non-obvious defects that manual inspections can miss
  • Improve batch quality and ensure equipment integrity
  • Avoid costly recalls and other reputation risks

Visual Data Modeling & Labeling

For any image processing application

  • Fast-track model development while improving quality
  • Analyze model performance and correct mispredictions
  • Boost model accuracy with high-quality synthetic data

WHO WE SERVE

Manufacturers and Data Science teams everywhere

teams everywhere

Medical Device & Pharma

Medical Device & Pharma

Reduce false positives and negatives to eliminate defective shipments.


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Railway

Railway

Prevent derailments by improving wheel image inspection accuracy.


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Food & Agriculture

Food & Agriculture

Uphold acceptability standards when processing high variability produce.


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Critical Infrastructure

Critical Infrastructure

Detect downed power utility lines.


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Automotive

Automotive

Improve vehicle part quality as well as autonomous perception models.


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Other

Other

Build and train a computer vision model for any use case.


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Experience how Akridata can
enhance your detection efforts.

Who You Are

We have everything covered, regardless of the vertical you are from. Our approach to looking at the problem statement covers everything.

In-Line Manager

Process Engineers

VP of Quality

Data Science Teams

Machine Vision Teams

OUR APPROACH

How Akridata Improves Your
Vision System

Traditional Approach

  • Getting connected to a new visual data platform takes weeks and requires moving or copying your data outside of your environment.
  • Visual data labeling is slow, labor-intensive, costly, and riddled with human error.
  • Models report many false positives and negatives, resulting in lower yields and defective product shipments.
  • System has a rigid configuration with limited support for your unique processes or use cases.

Akridata’s Approach

  • Rapid Onboarding: Simply link to your data source and start building your model right away with our no-code interactive interface.
  • Automated Labeling: Spend 80% less on labeling with our proprietary AI models that label visual data quickly and accurately.
  • Deep Learning: Our intelligence layer continually refines model performance to improve inspection decisions and eliminate escapes.
  • Fully Customizable: Configure our platform as needed to support virtually any computer vision workflow.

This Medical Device Company Decreased False Positives by 40%

A medical device company sought to improve accuracy and efficiency in its computer vision-based inspection lines. Existing computer vision technologies led to frequent false positives and negatives, impacting profits, increasing customer complaints, and inflating operational costs.

The company’s in-line inspection system, efficient but inaccurate, fell short despite repeated model tuning. Real-world production conditions and a rigid, speed-focused approach caused incorrect part flagging, posing a challenge in balancing speed without sacrificing accuracy or risking defective product shipments.

This medical device company implemented Akridata to boost accuracy and efficiency in assembly line inspections.
A medical device company sought to improve accuracy and efficiency in its computer vision-based inspection lines. Existing computer vision technologies led to frequent false positives and negatives, impacting profits, increasing customer complaints, and inflating operational costs.

The company’s in-line inspection system, efficient but inaccurate, fell short despite repeated model tuning. Real-world production conditions and a rigid, speed-focused approach caused incorrect part flagging, posing a challenge in balancing speed without sacrificing accuracy or risking defective product shipments.

This medical device company implemented Akridata to boost accuracy and efficiency in assembly line inspections.

This improvement significantly reduced inventory wastage and prevented the shipment of defective products.

The implementation of Akridata's solution elevated product quality standards, safeguarding the company's esteemed brand reputation.

Leveraging Akridata's Data Explorer, the pharmaceutical company achieved a notable 40% decrease in false positives and uncovered a 30% reduction in false negatives.

Improved operational accuracy efficiency and reduced recalls while cutting costs.

RESOURCES

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Looking Ahead to 2024: AI’s Effect On The Industry

Read Akridata’s predictions for the computer vision industry in 2024.

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AI for Visual Data: Computer Vision in Business

Learn how computer vision can help companies of all kinds, from security to manufacturing.

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Automatic Image Quality Analysis

Discover how Akridata ensures models are built using clean, high-quality datasets.

RESOURCES

img

Looking Ahead to 2024: AI’s Effect On The Industry

Read Akridata’s predictions for the computer vision industry in 2024.

img

AI for Visual Data: Computer Vision in Business

Learn how computer vision can help companies of all kinds, from security to manufacturing.

img

Automatic Image Quality Analysis

Discover how Akridata ensures models are built using clean, high-quality datasets.

Ready to improve model
accuracy
and reduce costs?