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Data Validation

Ensure the accuracy and reliability of your data with our in-house team of domain experts who can help identify and rectify inconsistencies and labeling errors.

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How it Works

There are lots of options for AI companies in search of image annotation.

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1. Assessment

Talk to our Data Solutions Architect and discuss your model’s dataset needs.

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2. Strategy

Together, we find the best way to fit our validation process into your model training pipeline.

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3. Pilot

We create and approve a custom manual so our in-house domain experts can begin validating your outputs.

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4. Implementation

After a successful first batch, we agree on the exact scope of your project and scale the team accordingly.

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5. Delivery

Our industry-leading customer service provides comprehensive reports to ensure a continuous feedback loop for improving your AI.

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Don't let bad data hurt your AI's intelligence!

Only human judgment can give models the accuracy and nuance they need to function in the real world. That’s why we employ domain experts from across many industries to share their knowledge with your models:

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Agronomist Civil Engineer Dermatologist Veterinarian Data Scientist Orthodontist Surgeon Mechanic QA Engineer Electrician Architect Oncologist Radiologist Diagnostician

Human-in-the-loop error detection for generative AI

Ensure your generative AI models produce accurate outputs free of defects and anomalies. Our domain specialists will meticulously review model outputs to identify and rectify issues such as hallucinations, biases, and inconsistencies. By integrating human judgment into the validation process, we enhance your AI's performance, ensuring it meets real-world standards and reduces error rates.

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ISO 9001 and 27001
Certified
GDPR-
Compliant
HIPAA
Compliance

600+

In-House
Team
Ethical
Sourcing

What to Expect

UNMATCHED ACCURACY

Reduce model error rates and enhance the precision of your outputs by 97%+

NUANCE & CONTEXT

Capture subtleties and context that AI alone may miss, especially in complex fields like medicine or agriculture.

MITIGATE ALGORITHMIC BIAS

Create fair models with diverse and representative data.

COMPLEX TASKS

Refine AI outputs for facial recognition, sentiment analysis, medical image interpretation, and more.

CONTINUOUS IMPROVEMENT

Evolve your AI capabilities over time with ongoing expert feedback and refinement.

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Industries
We Serve

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Keymakr has extensive experience providing affordable data tailored to different industries. Find what works best for you:
Automotive
Aerial
Agriculture
Robotics
Manufacturing
Waste
MAnagement
Medical
& Healthcare
Document
Annotation
Retail
Fashion
Sport
Security
Construction
Livestock
Logistics
Automotive • Aerial • Retail • Robotics • Sports • Agriculture • Agriculture • Security • Medical & Healthcare • Livestock management • Waste management • Document annotation • Construction • Logistics

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"Delivering Quality and Excellence"

The upside of working with Keymakr is their strategy to annotations. You are given a sample of work to correct before they begin on the big batches. This saves all parties time and...

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"Great service, fair price"

bility to accommodate different and not consistent workflows.
Ability to scale up as well as scale down.
All the data was in the custom format that...

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"Awesome Labeling for ML"

I have worked with Keymakr for about 2 years on several segmentation tasks.
They always provide excellent edge alignment, consistency, and speed...

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Meet
Keylabs

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We created a proprietary annotation platform with enterprise-grade tools capable of achieving pixel-perfect labeling for all your AI training datasets.

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Keylabs can help you handle annotation projects of any complexity. Our platform was originally created for internal use, so usability and quality are main priorities. Keylabs features a full suite of annotation techniques that can be adapted for your specific needs.

You can work with projects of any size and label vast quantities of data. The in-built management tools will help you collaborate on projects and get the most out of your data.

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