“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



Self-driving cars

How we help


We bring over 20 customers in and hundreds of Automotive AI projects in the 15 years in the automotive industry. We understand what it takes to work with leading Tier 1 suppliers and 7 of the top 10 global OEMs. Access our full suite of multimodal computer vision annotation tools as well as, in-cabin vehicle collection and, NLP annotation services to help with your autonomous vehicle projects.

Our experienced team based in the heart of Motor City, Detroit lends their expertise and resources on the ground to accelerate your product development and testing workflows.

Single Data Collection and Annotation Pipeline for Autonomous Vehicles


Companies used to have to lean on multiple vendors and applications to collect, prepare and converge all data in order to effectively train their AI models. Until now. 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.


  • Multimedia Collection Our teams can support your data collection needs with the help of the global crowd through surveys, transcribed voice recordings and crowd camera footage.
  • Conversational Assistance Our comprehensive solutions for training conversational AI include speech collection, speech annotation, transcription for the creation of ASR models, lexicon building and more.
  • Point Cloud Labeling (LiDAR, Radar) Merge point cloud data and video streams into one scene to be annotated. Our labels point cloud data to help your model understand the world around the vehicle.
  • 2D Labeling including Semantic Segmentation Help your model get a fine-tuned understanding of the input from its visual light cameras by using our image annotation toolkit. Get scalable bounding boxes or highly-detailed pixels masks created for your custom ontology.
  • Video Object and Event Tracking Track objects in your ontology (like other cars and pedestrians) as they enter and exit the area of interest over many frames of videos and lidar scenes. Maintain a consistent understanding of the object’s identity through the entire video, no matter how often they drop in and out of sight.

Bring it all together with Workflows


Using the Appen Data Annotation platform, your team taps into a simple user interface to build and automate multi-step data collection and annotation projects:

  • Break complex projects down into simple jobs, then automatically route data between the jobs using configurable routing rules

  • String multiple jobs or models together in a branching or linear configuration

  • Leverage machine learning in workflows to offset costs and expedite project completion

Voice recognition in cars

We help you enhance the following solutions


  • Automatic Speech Recognition

    Improve customer interactions with Automatic Speech Recognition systems by training them to better understand human language.

  • Computer Vision

    Develop computer vision solutions that recognize images and video as well as humans do with high quality, human annotated data.

  • In-car Infotainment

    Ensure your in-car infotainment system provides the best user experience with high quality training data and testing.

  • In-car Navigation

    Train your in-car navigation system with high quality data to ensure customers get where they need to go.

  • Text-to-Speech

    Improve customer interactions with TTS systems that are fluent in every language.

  • Virtual Assistants and Chatbots

    Train your virtual assistant or chatbot to better understand and respond to human interaction, driving higher levels of customer satisfaction.

Additional resources


smart cars that work for everyone

AI Training Data for Smart Cars that Work for Everyone

When Building World-Class AI for Autonomous Vehicles, a Partner Like Appen Gets Your Team There Faster, With Data You Can Rely On There is an enormous business opportunity with the rise of autonomous vehicles and the connected car. Already, we have seen significant investment in self-driving technology and, with everyone racing to reap benefits including fewer road accidents, Mobility-as-a-Service (MaaS), …

Illustration of the interior of a concept car

How a Tier 1 Automotive Software Provider Creates Smarter, More Natural In-Car Infotainment Systems

For an in-car infotainment system — or any ASR system — to recognize and correctly process voice commands, it must be trained on speech data that accounts for a broad range of inputs and all possible variation in how people speak.

Bluetooth call controls on a car steering wheel

How a Top Automotive OEM Localizes Its In-Car Experience with Appen

The Situation With the proliferation of mobile devices, consumers expect to stay connected, no matter where they are — especially in their car. Voice recognition in cars, however, continues to be the leading complaint among new vehicle owners. Global automotive manufacturers recognize the demand for better connectivity but face added complexities associated with localizing in-car systems for multiple languages. Data …

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