Powering vision AI applications in Media & Content

Weaving human and machine intelligence to help deep learning teams reach production at scale

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Enriching AI capabilities in media & content

When discussing media and content applications, we speak of a collection of industries in which visual data is being constantly generated, shared and reviewed among the masses. Whether it is social networks, sports broadcasting or E-commerce applications – all have audiences that acquire high volumes of targeted data in near real-time, meaning models must perform well at scale and in diverse environments.

To answer such demands, Dataloop’s platform integrates automatic active learning with human-in-the-loop functions for data validation, all hosted on advanced Kubernetes-powered infrastructure. This way, deployed models are continuously fed with new, representative and validated data, which comes directly from production environments in real-time. That ensures that your models produce highly accurate outputs fast, with virtually unlimited scalability.

Dataloop's real-world media applications
Select use cases that Dataloop advances

content moderation
content moderation
E commerce
E commerce
Sports Analytics
Sports analytics
visual search
Visual search
Image enhancement
Image enhancement
Video content analysis
Video content analysis

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Dataloop’s Use-cases

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

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

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

Yeshiaya Odysight
Yishaia Zabary
Senior Data Scientist
david lempert
David Lempert
Head of R&D
Ido ariav
Ido Ariav
Deep Learning Lead