Unified Infrastructure for Computer Vision Data

The single platform to capture, search, curate, annotate and manage computer vision data at scale.

Trusted by

One Powerful Platform

An icon representing the feature ''Explore''

Explore

An icon representing the feature ''Curate''

Curate

An icon representing the feature ''Label''

Label

An icon representing the feature ''Train''

Train

Visualize all of your data

Easily visualize, explore and search large datasets. Curate data using metadata, labels and model predictions.

  • Search data with metadata, labels and predictions
  • Find edge cases with similar image search
  • Understand datasets with feature embeddings
An image showing the graph of embeddings.
An image showing the auto-labeling feature.

Auto Label data at scale

Use auto-labeling to speed up annotation tasks and focus your team on review and edge cases to reduce cost.

  • Label images and videos with many annotation types
  • Create customizable workflows and boost efficiency
  • Designed for large scale labeling projects

Evaluate model performance

Understand the effectiveness of your training data by comparing and contrasting the performance of your models outcomes.

  • Find data gaps and debug model and label errors
  • Compare model performance against dataset versions
  • Improve model performance using built-in Active Learning tools
An image showing the model performance.

Build for Developers by Developers

Every ML team deserves enterprise-grade tools that supercharge productivity, so they can ship models faster.

  • Integrate all data pipelines using Python SDK
  • Share data between third-party apps using REST API
  • Create custom data pipelines based on your needs

Powerful features to help you build better model faster

Visualization

Integrate cloud buckets (AWS, GCP, Azure)
Single view for multiple buckets
Visualize overlayed ground truth and predictions
Auto Tag generation
Feature embeddings
Similar image search
Metadata and label search
Slice and dice datasets
Data provenance and lineage

Labeling

Bounding box annotation
Polygon annotation
Line annotation
Key point annotation
Instance segmentation
Model assisted annotation
Attribute level annotation
Interpolation based annotation
Annotation workflows

Evaluation

Dataset version control
Precision, Recall and F1 score
Confusion matrix
Ground truth vs prediction overlay
Failure mode analysis
Scenario test
Label distribution graph
Metadata distribution graph

Why LayerNext ?

LayerNext supercharges AI team productivity and collaboration with purpose-built data tools and automated workflows. Don’t let data operations to slow down your AI Project.

An icon representing the feature of ''Flexibility''

Flexible by design

Easily customize LayerNext to align with your unique workflow and seamlessly integrate with any other AI tools.

An icon representing the feature of ''Security''

Secure by default

Run LayerNext inside your infrastructure so you are never at risk of data leaving your security and privacy boundaries.

An icon representing the feature of ''Accessibility''

Control your Data

Control access to your data so that you are compliant with HIPAA, GDPR, licensing, and other regulatory requirements.

Customers

Trusted by top CV teams

Joe Cenerini
Control and vision algorithm development engineer
MacDon Industries

LayerNext has been great to work with and quick to address issues and add features to tailor to our needs. We use LayerNext to organize image data and record metadata as data is collected from the field. The platform gives us good flexibility to upload data from their python SDK or through their webpage UI. The user interface is helpful as it allows us to view data which makes creating annotation projects and training datasets easy.

Nathaniel Smith
CEO of nSight Surgical

The LayerNext team resolved our CV data infrastructure problem. They installed their platform on our servers, and we were up and running within a few hours. They certainly delivered what they promised! The quality of the tech support is superb and I highly recommend their product.

Chathura Illangakoon
Chief Scientist - ZOOMi Technologies Inc.

LayerNext has made our machine learning workflow faster, helping us create and fine-tune models to identify various brands in our checkout-free retail store. What stands out is how clearly we can see the model's performance. We used their set of tools for everything, from annotation to dataset creation and testing. It played a crucial role in the success of our continuous model training process. I'd confidently recommend LayerNext for any computer vision and ML project.

Use Cases

How LayerNext can be used in your AI application

An image showing a retail store.
An icon representing the sector of ''Retail''

Retail

An image showing an agricultural field.
An icon representing the sector of ''Agriculture''

Agriculture

An image showing a operating theater.
An icon representing the sector of ''Healthcare''

Healthcare

An image showing a construction site.
An icon representing the sector of ''Construction''

Construction

An image showing a retail store.
An icon representing the sector of ''Retail''

Retail

An image showing an agricultural field.
An icon representing the sector of ''Agriculture''

Agriculture

An image showing a operating theater.
An icon representing the sector of ''Healthcare''

Healthcare

An image showing a construction site.
An icon representing the sector of ''Construction''

Construction

Let us be helpful

We’re always interested in meeting people who work in Computer Vision. Tell us about what you are working on and how we can help.

Book a Demo