Lightly tells companies which subset of their data to label to have the biggest impact on model accuracy.
Find and remove redundancy and bias introduced by the data collection process to reduce overfitting and improve ML model generalization.
Save money on your data related costs by removing redundancies
Reduce overfitting and improve generalization by diversifying your dataset
Understand your data within minutes after collection and before any data labeling.
We use self-supervised learning combined with active-learning to accelerate your data preparation pipeline.
Most companies only use between 0.1% and 10% of their data for machine learning. Use our state-of-the-art methods to select the most relevant samples. Let Lightly handle the selection of the data for you while you focus on the training process.
Keep track of the data your team is working on. Our algorithms help you only adding relevant data to the existing pool. We only store non-sensitive meta-information on our servers so you don't have to worry about transfer costs or privacy issues.
Use our deep data analytics framework to analyze your raw datasets. Get insights about the distribution, diversity, and other key metrics. Find dataset bias before training and evaluating your model.
"I was amazed once we received the results of Lightly. The results showed us how we can work more efficiently by selecting the right data"
Alejandro Garcia, CEO AI Retailer Systems
"After training a model on the filtered data suggested by Lightly, I saw a dramatic increase in performance on our key metrics (...)"
Angelo Stekardis, Computer Vision Lead
"Lightly helped us understand more about our own data gathering process. We saw, that a lot of data being collected was not meaningful"
Nasib Naimi, Co-Founder DroGone
Make your vehicle autonomous for the street, sea, or air.
Shipping, Logistics, Airline, Defense & Military
Detect defects in infrastructure, manufactured products, or find infected plants.
Railways & Roads, Infrastructure, Manufacturing, Agriculture, Surveillance & Security
Find abnormalities in medical images such as X-rays, MRIs, microscope & medical scans.
Health/Life Science, Biotechnology, and Digital Diagnostics/Pathology
Improve space products and achieve better results
Sattelite Imaging, Visual Inspection for Space Components, Autonomous Systems