Security and data privacy is very important to us. In this section you find all security related information. Legal documents such as Privay Notice, T&C, DPA are available under


These documents apply to all personal, team and custom account plans.

Architecture Overview

Here you find an overview of the cloud architecture.

A few important things to note:

  • Data storage and processing occurs within the clients own cloud infrastructure

  • Lightly only needs permission to list files within your cloud storage (S3, GCS, Azure) and to create signed URLs

  • Lightly assets such as images, videos, sequences, frames, objects or thumbnails are always stored within the clients storage. Any additional data such as metadata, predictions or any other non-sensitive data used to manage the datasets is stored in secured databases within Lightly’s own infrastructure

  • Authentication is provided through our partner Auth0. Additional services such as 2FA/MFA, SAML can be added upon request.

Image of Lightly Architecture

How does your data flow around?

We differentiate between usage data and the actual samples stored in your cloud storage. Samples can be images or videos and their subtypes such as sequences, frames or object crops. Samples typically contain sensitive information (PII) and we setup the whole Lightly architecture in a way that you can fully restrict sensitive data from leaving your cloud environment (see Minimum AWS Policy requirements).

Whenever you process a new dataset using Lightly the following steps happen:

  1. You create a new job using the Lightly Python API. The job contains information about the location of the data (bucket path to S3, GCP or Azure) as well as the parameters of how the data should be processed.

  2. After the job has been created, it can be processed by the Lightly Worker. The Lightly Worker typically runs on a GPU instance within your cloud environment. It uses the job information to load the data directly from the cloud bucket using signed URLs created by the Lightly API.

  3. At the end of the job, the Lightly Worker pushes part of the results from the selection to the Lightly cloud. The Lightly Cloud gets data such as which filenames have been selected, the embeddings, the metadata and predictions. The other parts of the results such as thumbnails and frames that could contain sensitive information are stored in your bucket within your cloud infrastructure.

This setup has several advantages:

  • The large amount of input data that could contain thousands of videos or millions of frames is only moved around within your cloud infrastructure. If the data is in the same region, there is no egress traffic cost and the latency is very low.

  • Lightly never stores sensitive data such as samples and therefore you don’t have to worry about this

  • This setup allows for additional hardening of the access rules as the Lightly Cloud does not need to read the actual data in your bucket (see Minimum AWS Policy requirements)

What data is stored where?

Data stored on Lightly Cloud:

  • Embeddings - contain the filenames of the sample and a vector representation describing it

  • Metadata - any metadata provided to the data selection workflow is cached for faster access and visualization in the user interface

  • Predictions - similar to metadata, predictions are cached as well

Data stored on your Cloud:

  • Samples - the actual images and videos

  • extracted crops, frames or thumbnails


Lightly does caching of the predictions and metadata for faster retrieval. However, the input images as well as thumbnails or frames from videos are always fetched from your connected cloud bucket directly. They are never cached on Lightly infrastructure!