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Data Versioning

Get more out of your dataset while keeping track of annotation variations

Versioning benefits

We are proud to share our host of tools and apps, designed for more scalable and accurate data preparation workflows. For example, our set of data versioning features, including:

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Data virtualization

Expand your dataset by generating virtual versions of each item, without taking up extra storage or demanding additional raw data

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Data branching

Create data subsets and repositories based on shared properties, such as creation time, annotation classes, labeling providers and more. Inspect versioning timeline and history

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Data sandbox

Run numerous "data experiments" on selected items - clone, split and merge different versions together, edit versions' metadata, compare versions for accuracy and more

Powering vision AI across industries

Retail

Helping developers of vision applications for retail keep track of the thousands of brands seen on shelves, inventories and checkout counters, by duplicating and merging together versions of production datasets

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Drones & Aerial Imagery

Ensuring labeling accuracy in complex remote sensing datasets, with consensus verification tasks for annotators of industrial inspections, land surveys and maps, equipment tracking, etc.

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Robotics

Supplying programmers with designated data pipelines for robotics applications, meaning they can process, clone and merge raw machine vision data into unified datasets

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Autonomous Vehicles

Enabling developers of autonomous driving systems to make better use of their ground truth, by assigning multiple layers of information to each scene inside and around the vehicle

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Precision Agriculture

Advancing vision applications that monitor highly dynamic crops, livestock, and aquaculture health, with data accuracy and consistency validated continuously from development to production

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Media & Content

Enabling developers of sports analysis, content moderation, or image enhancement applications gain more insights from their datasets, so they can reach production faster

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Explore more of our platform

Annotation platform

Annotation
platform

An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.


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Production
Pipelines

Build custom automation pipelines within our serverless environment, to reach production faster and scale indefinitely.



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Enterprise-grade data engine

Ensuring highest data standards that serve your entire data organization, allowing cross-functional collaboration while keeping your data access internal

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Privacy

Custom authentication and role permission enforcement. Using advanced Kubernetes-powered infrastructure for on-premises or private storage deployments

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Security

Full encryption to keep your data constantly safe, compliant with military-grade security standards and certified by comprehensive system audits

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Scalability

High performance for large volumes of data with 99.9% uptime SLA, providing auto-scaling infrastructure that supports your ever-growing data operations

Powering vision AI teams across the globe
Helping companies create AI-driven products, from development to large-scale production

Michael Maman
CTO, Seedo
Ido Ariav
Deep Learning Lead,
Elbit Systems
Nikita Chizhov
SW Developer for AI Pipeline, Nyris GmbH