Powering vision AI applications in Media & Content

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

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
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

Paul Jacob
Data Quality Program Manager
David Lempert
Head of R&D
Ido Ariav
Deep Learning Lead