WorkNC Ratings (September 2025)
This page breaks down WorkNC 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 WorkNC’s overall reputation. This data-driven overview will show you exactly how WorkNC is rated - including how it compares to competitors.
WorkNC's Overall Rating Summary
- Average Rating:4.1/5
- Total Reviews:13 reviews
- Sources:G2, Trustradius
- Last updated:September 1, 2025
WorkNC Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 4.2/5 | 5+ reviews | 01.09.25 |
 Trustradius | 4/5 | 8+ reviews | 05.08.25 |
What is WorkNC?
WORKNC CAM software is the premier automatic CNC software for surface or solid models in mold, die, and tooling businesses for 2 to 5-axis CNC programming. It offers powerful roughing and re-roughing toolpaths, optimized finishing toolpaths, and integrated collision avoidance for 5-axis machining, enhancing productivity and safety. WORKNC | Designer bridges the gap between CAD and CAM, providing a comprehensive CAD solution for fixture design, part repair, and modification.
🤔 WorkNC vs Competitors: How Do Ratings Compare?
Check out WorkNC AlternativesFrequently Asked Questions
How trustworthy is WorkNC?
According to Trustradius and G2 review sites WorkNC holds ratings of 4/5 and 4.2/5 respectively from 13 reviews, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is WorkNC rated?
WorkNC has an average star rating of 4.1 out of 5 stars based on average of 13 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from WorkNC public reviews pages on platforms: G2, Trustradius. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for WorkNC 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.