Alegion offers two different solutions
Alegion Flex
Rapid iteration, validation and quicker time to experimentation results. Designed for teams with a higher number of use cases, more variation in data labeling requirements across different iterations, and lower volumes of training data.
Quickly power multiple proof of concept and pilot projects through rapid iteration
Greater control control and predictability over data labeling costs, variables, and volume
Accelerate experimentation with unmatched flexibility for computer vision and NLP use cases
Values/Benefits
How Flex Works
Alegion Focus
Go to production with data labels optimized for scaling training data and model validation through the Alegion platform for a given use case.
Improve model accuracy through high-volume training data throughput
Expand training data coverage to operational conditions by addressing classification distribution, edge cases, and exceptions
Optimize quality and accuracy while reducing the cost of human labeling over time
Scales to include model validation and exception handling