Powering vision AI
in Autonomous Vehicles

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

Visual AI And Data Processing For Autonomous vehicles

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

Damage assessment
Damage assessment
Parking detection
Parking monitoring
Lane detection
Lane detection
ADAS
ADAS
Object detection
Object detection
Object tracking
Object tracking

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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Quality

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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Security

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

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Privacy

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

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