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Our Customers Experience a 3x Deployment Rate



Automotive Industry Expertise



We bring the most cost-effective, highest ROI approach to train your AI models with the most diverse, scalable labeling options across data types, languages and dialects, and security demands. You choose the level of service and security you want, from white-glove managed service to flexible self-service.


Here are just some of the reasons why you should choose us:


  • 15+ years of automotive industry experience with a local Detroit presence

  • Cutting-edge LiDAR, PLSS, and computer vision ML-assisted tools

  • We work with seven of the 10 top auto companies and tier 1 suppliers

  • Supporting both in-vehicle conditions and autonomous vehicle developments

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In the next ten years, the auto industry will undergo a profound transformation: the cars it builds, the companies that build them, and the consumers who buy them will all look significantly different.



Goldman Sachs
Technology Driving Innovation


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The Appen Difference



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Higher Quality



Quality assurance peer review workflows, continuous testing and auditing, and a highly-skilled, managed crowd collect and labell your data

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Greater Speed & Scale



AI assisted capabilities like one-click annotation, object tracking with linear interpolation, auto-adjusting cuboids, and more

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Comprehensive Toolkit



Multiview point cloud and camera data rendering within an easy to use tool interface that supports custom labels/ontologies

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Global Expertise



Specialized team based in Detroit, MI to accelerate your product development and testing workflows






Capabilities Overview


We offer a full suite of multimodal computer vision annotation tools, as well as in-cabin vehicle collection, and NLP annotation services to help with your automotive projects. Our world class machine learning assisted annotation tools combine the best of human and machine intelligence to ensure high accuracy and scalability.



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Data Collection


  • Audio collection in-car, in-studio, and in real world scenarios
  • Image, text, and video collection
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  • Object classification

  • Image annotation including semantic segmentation

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Video


  • Object and event tracking

  • Video classification
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3D Point Cloud


  • Object annotation

  • Object tracking

  • Sensor fusion and united annotation
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Speech and Language


  • Audio segmentation

  • Audio transcription
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Top Use Cases for Automotive AI



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Autonomous Vehicles



Vehicles need to understand large volumes of data, such as identifying a tree or pedestrian, listening for commands, assessing outside changes to the environment, and then feed that back into the car’s AI.

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Voice and Speech Recognition



Connected cars that are trained on large-scale speech data collection can provide customers around the world with the best in-car infotainment experience.

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Understanding and Predicting Behavior



Connected cars, using advances in voice recognition, LiDAR, and cameras, need to have the ability to identify user intent, as well as their words—so they can tell when users are happy or frustrated, and respond accordingly.






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Single Data Collection and Annotation Pipeline



Automotive teams can leverage our full suite of multimodal computer vision annotation tools, as well as in-cabin vehicle collection, and NLP annotation services and combine them in an automated process with workflows within the Appen platform to:

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Break complex projects down into simple jobs, then automatically route data between the jobs using configurable routing rules
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String multiple jobs or models together in a branching or linear configuration
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Leverage machine learning in workflows to offset costs and expedite project completion