Help ML teams label the right data
Company is active
Event Year: 2021
Company is active
Event Year: 2021
Lightly addresses a critical challenge faced by machine learning teams: efficiently labeling data. When these teams outsource data labeling to services like Scale AI, budgetary constraints often limit them to labeling only a small fraction (typically 1% or less) of their total datasets. Lightly provides a solution by enabling these teams to strategically select the most impactful 1% of their data for labeling. By focusing on the most representative data points, Lightly helps improve model accuracy significantly, all while maintaining the same labeling budget. This targeted approach ensures that machine learning models are trained on the most relevant data, leading to better performance and more efficient use of resources.
Lightly addresses a critical challenge faced by machine learning teams: efficiently labeling data. When these teams outsource data labeling to services like Scale AI, budgetary constraints often limit them to labeling only a small fraction (typically 1% or less) of their total datasets. Lightly provides a solution by enabling these teams to strategically select the most impactful 1% of their data for labeling. By focusing on the most representative data points, Lightly helps improve model accuracy significantly, all while maintaining the same labeling budget. This targeted approach ensures that machine learning models are trained on the most relevant data, leading to better performance and more efficient use of resources.
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2021
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2021
B2B
B2B
B2B -> Engineering, Product and Design
B2B -> Engineering, Product and Design
Team size: 5
Hiring: Yes
Team size: 5
Hiring: Yes