Identify Defects,
Improve Quality and Cut Costs
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
Curate Data & Build Models
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
Medical Device & Pharma
Medical Device & Pharma
Railway
![img](https://akridata.ai/wp-content/uploads/2024/05/arrow-right-2.svg"){kind=icon}
Food & Agriculture
Food & Agriculture
Critical Infrastructure
Automotive
Other
Who Benefits from Akridata Solutions?
In-Line Manager
Ensures real-time quality control by optimizing computer vision models for faster and more accurate inspections.
Process Engineers
Enhances manufacturing efficiency by refining AI-driven defect detection and process monitoring.
VP of Quality
Improves overall product quality and reduces defects by leveraging deep learning for advanced anomaly detection.
Data Science Teams
Provides robust AI-powered tools to fine-tune computer vision models for more accurate image analysis.
Machine Vision Teams
Streamlines large-scale visual data processing with smart AI-driven insights, improving system performance.
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%
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.
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.
AI-Driven Quality & Efficiency in Medical Device Inspection
Reduce Wastage & Prevent Defects
This improvement significantly reduced inventory wastage and prevented the shipment of defective products.
Enhance Quality & Protect Reputation
The implementation of Akridata's solution elevated product quality standards, safeguarding the company's esteemed brand reputation.
40% Fewer False Positives, 30% Fewer False Negatives
Leveraging Akridata's Vision Copilot, the pharmaceutical company achieved a notable 40% decrease in false positives and uncovered a 30% reduction in false negatives.
Enhance Quality & Protect Reputation
Improved operational accuracy efficiency and reduced recalls while cutting costs.
RESOURCES
Understanding Model Evaluation Metrics for Image Classification
Introduction Image classification is a fundamental task in computer vision with applications in medical imaging, autonomous driving, security, and e-commerce. As deep learning models advance, evaluating them correctly ensures reliability, minimizes errors, and enhances real-world performance. Many data scientists rely on accuracy as the primary evaluation metric. However, accuracy can
How AI Is Shaping Visual Content Creation
The digital age thrives on visual content, from social media graphics to blockbuster movie visuals. Visual storytelling has become indispensable for brands, artists, and creators aiming to captivate their audiences. Enter artificial intelligence (AI), a game-changer in visual content creation. AI tools are enabling creators to produce high-quality visuals faster
Computer Vision vs. Image Processing: What’s the Difference?
In an era of rapidly advancing technology, understanding the nuances between different methodologies is crucial for professionals and enthusiasts alike. Two terms that are often used interchangeably but are distinct in their applications are computer vision and image processing. At Akridata, where we leverage deep learning for advanced image inspections
