Powering vision AI
in Autonomous Vehicles

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

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Enriching AI capabilities in the
autonomous driving space

Computer vision is an integral part of driverless vehicles and smart mobility systems, yet most applications in this space are far from being production-ready. This is because model accuracy in autonomous driving can be a matter of life and death, as failed detections could lead to collisions. Furthermore, data varies greatly by location and often requires that many different models work together simultaneously.

To answer such demands, Dataloop’s platform integrates automatic active learning with human-in-the-loop functions for data validation, performed at every step of the automation pipeline. This way, deployed models are continuously fed with new, authentic and validated data that comes directly from your production environment, ensuring that your models produce outputs with only above-threshold accuracy, even in highly dynamic and diverse settings.

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

LiDAR AV Solutions feature
Parking detection
Parking monitoring
Lane detection
Lane detection
object detection
object detection
Object tracking
Object tracking

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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