Customer Case Studies and Testimonials

Swiss Railroad Company (SBB)

Learn how SBB achieved a 10% better performance of their visual inspection system while saving 50% of data related costs.

Foto Alejandro Gracia from AI Retailer Systems

AI Retailer Systems

Learn how AI Retailer Systems was able to reduce the data required to train an object detection model by 85% with almost no loss in accuracy thanks to Lightly.

"I was truly amazed once we received the results of Lightly. We knew we had a lot of similar images due to our video feed but the results showed us how we can work more efficiently by selecting the right data"

Alejandro Garcia, CEO 

Rabot

"Lightly is hyper focused on selecting 100s from billions of visual data to improve deep learning models. They enable us to build models and deploy features more than 10x faster and unlock completely new development workflows. AI teams not integrating Lightly into their ML Ops pipeline today will be left behind."

Isura Ranatunga, Co-Founder and CTO

Picture Angelo Stekardis from Curbflow

Curbflow

"After training a model on the filtered data suggested by Lightly, I saw a dramatic increase in performance on our key metrics. Part of this is certainly because this was the first time we trained a model on any data that we've collected, but I'm fairly certain that performance would not have been as good if we had chosen what data to label at random."

Angelo Stekardis, Computer Vision Lead

Picture Nasib Adriano Naimi from DroGone

DroGone

"Lightly helped us understand more about our own data gathering process. Through their service, we were able to see, that a lot of data being collected was not meaningful enough for training an accurate model. This led us to change the way we gathered data and allowed us to ultimately create a much more information dense and higher quality dataset overall. Needless to say, the performance of our final model was greatly improved."

Nasib Adriano Naimi, Autonomy and Robotics Engineer

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