Automotive

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

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

Customers Running World-Class AI

Delivering Confidence for your AI Projects

Quality

Our ADAP platform and skilled project management capabilities use multiple quality control methods and mechanisms to meet and exceed quality standards for training data.

Speed

Our platform and services are purpose- built to handle large scale data collection and annotation projects, on demand. Our platform's built-in MLA optimizes throughput and with deep expertise, planning, and recruiting to meet a variety of use cases, we can quickly ramp up new projects in new markets.

Scale

With a crowd of over one million skilled contributors operating in 170+ countries and 235+ languages and dialects, we can confidently collect, and label the high volumes of images, text, speech, audio and video data needed to build and improve AI systems.

Security

We provide multiple secure platform and service offerings, secure, remote and on-site contributors, on-premises solutions, secure data access offerings and ISO 27001/ ISO 9001 accredited secure facilities.

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.

Data Collection

Audio collection in-car, in-studio, and in real world scenarios

Image, text, and video collection

Image

Object classification
Image annotation including semantic segmentation

Video

Object and event tracking
Video classification

3D Point Cloud

Object annotation
Object tracking
Sensor fusion and united annotation

Speech and Language

Audio segmentation
Audio transcription

Text

Text annotation
Utterance collection for conversational agents

Top Use Cases for Automotive AI

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.

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.

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.

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: