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Lightly AG
Lightly AG provides a computer vision suite for machine learning teams, helping them label data, curate vision datasets, and pretrain models.
- Founded
- 2020
- Headquarters
- San Francisco
- Company size
- 1–10
- Products tracked
- 5
Products by Lightly AG
Rankings
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Customer voice
Customer testimonials
Quotes published on Lightly AG's official website.
Lightly enabled us to improve our ML data pipeline in all regards: Selection, Efficiency, and Functionality. This allowed us to cut customer onboarding time by 50% while achieving better model performance.
By integrating Lightly into our existing workflow, we achieved a 90% reduction in dataset size and doubled the efficiency of our deployment process. The tool’s seamless implementation significantly enhanced our data pipeline.
The pretrained models were low in performance. The color scheme is probably the reason, they just don’t transfer well to ash-RGB. This is why we decided to give LightlyTrain distillation a try.
Customer outcomes
Case studies
Selected customer stories from Lightly AG.
Pricing for Lightly AG
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Contact Lightly AG for current plans, volume pricing, and enterprise terms.
- Entry option
- Free plan
- Entry option
- Free plan
- Entry option
- Free plan
- Entry option
- Free plan
- Entry option
- Free plan
Trust profile
Security and compliance
GDPR
Swiss Data Protection Law
Latest updates from Lightly AG
New feature
LightlyTrain 0.16.0 adds real-time detection and depth estimation inference
LightlyTrain 0.16.0 introduces LTDETRv2, a suite of real-time transformer-based detectors optimized for edge deployment. The release also adds support for depth estimation inference using Depth Anything V2 and V3 models, and expands SAHI (Slicing Aided Hyper Inference) support to EoMT instance segmentation. Additionally, a new benchmarking command has been integrated to allow users to compare model latency, footprint, and accuracy across different backends, including PyTorch, ONNX Runtime, and TensorRT, facilitating more informed deployment decisions.
MentionedNVIDIA
