Dataloop APICreated with Sketch.

Dataloop API

Build a direct communication channel with our platform

API highlights

At Dataloop, we make sure to “eat own own dog food”, as our entire platform is built on top of our SDK that runs via our Rest APIs. These give you direct access to our production environment with your code, so you can easily perform actions like:

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Editing metadata

Add details to selected items, groups or entire datasets, such as unique or serial IDs for a sequence of frames or images, location of item creation, sensor position and more

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Bulk uploads

Robust upload capabilities that enable you to import millions of items at once, without compromising data quality or separating metadata from items

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Direct M2M integrations

Perform commands directly through your code, including automatic creation of projects, datasets, ontologies, and inferencing - all accessible via direct http requests

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.


Learn more

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