Keymakr Ratings (September 2025)
This page breaks down Keymakr ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Keymakr’s overall reputation. This data-driven overview will show you exactly how Keymakr is rated - including how it compares to competitors.
Keymakr's Overall Rating Summary
- Average Rating:4.8/5
- Total Reviews:41 reviews
- Sources:G2, Facebook
- Last updated:September 1, 2025
G2
FacebookWhat is Keymakr?
Keymakr offers high-quality training data solutions with services including image annotation, video annotation, 3D point cloud, automatic annotation, data validation, semantic segmentation, data creation, data collection, generative AI, custom AI, and data compliance. Their proprietary annotation platform, Keylabs, provides enterprise-grade tools for pixel-perfect labeling and supports a full suite of annotation techniques adaptable to various project needs. Keymakr serves multiple industries such as automotive, aerial, agriculture, construction, documents, fashion, livestock, logistics, manufacturing, maritime, medical, retail, robotics, security, sport, and waste management.
🤔 Keymakr vs Competitors: How Do Ratings Compare?
Check out Keymakr AlternativesFrequently Asked Questions
How trustworthy is Keymakr?
According to G2 review site Keymakr holds rating of 4.8/5, highlights excellent reputation and user approval as of September 2025.
How many stars is Keymakr rated?
Keymakr has an average star rating of 4.8 out of 5 stars based on average of 41 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Keymakr public reviews pages on platforms: G2, Facebook. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Keymakr is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.