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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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Text





Customers Running World-Class AI



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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.

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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.





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




Secure Data Access


Data security requirements are met for customers working with personally identifiable information (PII), protected health information (PHI), and other sophisticated compliance needs.

We have enterprise level security options to suit your sensitive data needs,


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Secure Crowd


We offer a suite of secure service offerings with flexible options to ensure data security via secure facilities, secure remote workers, and onsite services to meet specifi­c business needs.

We have enterprise level security options to suit your sensitive data needs,


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Deployment Options


Private cloud deployment 
That can be hosted on your specific cloud environment.

On-premises deployment
That can be deployed in your particular network either air-gapped or non-air-gapped.

We have enterprise level security options to suit your sensitive data needs,


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SAML-based Single Sign-on


SSO which gives members access to the data partner platform through an identity provider (IDP) of your choice.

We have enterprise level security options to suit your sensitive data needs,


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Resources



Artificial Intelligence for Automotive Applications
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Five Challenges of Artificial Intelligence for Automotive Applications

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automotive ai - in-cabin experience
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Where to Focus Automotive AI Investments: In-Cabin Experience

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TU Automotive 2018: How Realists & Dreamers See Autonomous Cars
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Insights from TU Automotive 2018: How Realists and Dreamers See Autonomous Cars Differently

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data pipelines for automotive AI
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Comprehensive Data Pipelines for Automotive AI Deployments

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Top Automotive OEM Uses Speech Training Data to Power its Connected Car
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Top Automotive OEM Uses Speech Training Data to Power its Connected Car

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Artificial Intelligence in Automotive Industry: Appen Opens Detroit Office
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Artificial Intelligence in the Automotive Industry: Appen Establishes Detroit Office

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Three of the Most Innovative Automotive AI Applications at AutoSens Detroit

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

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AI in Automotive ebook
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AI Solutions for Automotive

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focus AI investments on autonomous vehicles
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Where to Focus Automotive Artificial Intelligence Investments Part Two: Out-of-Car Experience

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consumer experience AI for automotive
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How Artificial Intelligence Will Reshape the Auto Industry in an Experience-First World

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Tier 1 Automotive Software Provider Creates Smarter In-Car Infotainment Systems
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Tier 1 Automotive Software Provider Creates Smarter In-Car Infotainment Systems

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

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How AI is Shifting Gears with Intelligent Automation | Appen Blog
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How AI is Shifting Gears with Intelligent Automation

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Deploy with Confidence
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How to Deploy AI with Confidence

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QA for Autonomous Vehicle Manufacturers
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Appen Delivers High-Quality Training Data and Quality Assurance Services for Autonomous Vehicle Manufacturers

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AI Solutions for Financial Services

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Appen Offers Fully Integrated Figure Eight Solution

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AI Training Data for Smart Cars that Work for Everyone

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How to Build Successful Computer Vision Applications

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Appen to Acquire Leapforce
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Appen to Acquire Leapforce

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2020 State of AI
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Appen’s Annual State of AI Report Finds Skyrocketing C-Suite Involvement, Surging Investment

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Appen Machine Learning FAQ

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Appen Launches Secure Workspace Solution to Protect Sensitive Data for Annotation in Facilities or in At-Home Environments

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Appen Announces Crowd Code of Ethics to Build Better AI

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Appen Training Data Solution Unveils Feature Enhancements to Accelerate Customers’ AI Initiatives

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NLP Strategy | Insights from Conversational Interaction Conference 2017

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Appen’s Annual State of AI Report Finds a Shift to Internal Efficiencies

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Appen Completes Acquisition of Figure Eight and Achieves Critical Integration Milestone

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The Value of AI: Exploring Opportunities and Challenges in AI Technology

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Appen to Acquire Figure Eight to Create Industry-Leading Solution for High-Quality Machine Learning Training Data

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Appen Leads Industry in Creating AI That Works for Everyone

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Appen 1,000+ Seat Facility in the Philippines Achieves ISO 27001 Accreditation for Secure Collection and Annotation of AI Datasets
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Philippines Seat Facility Achives ISO27001 Accreditation for Secure Collection and Annotation of AI Datasets

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Appen’s Top Five Blog Posts from 2018

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What is LiDAR
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What is LiDAR?

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Appen Named #1 Company to Watch for Remote Jobs in 2019 by FlexJobs

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Real World AI Now Available
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AI Experts Provide Comprehensive Insights in Real World AI: A Practical Guide for Responsible Machine Learning

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Appen Named a Technology Fast 500™ Asia Pacific Winner

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New Off-the-Shelf (OTS) Datasets
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New Off-the-Shelf (OTS) Datasets from Appen Accelerate AI Deployment

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Executive Insights from AI Summit NYC

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How AI Is Driving Innovation In eCommerce And Retail

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Appen Announces Hiring of Wilson Pang as Chief Technology Officer
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Appen Announces Hiring of Wilson Pang as Chief Technology Officer

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Investing in AI: The Time is Now

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Meet Up with Us at these Upcoming Spring Events

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What are Neural Networks?

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Appen Partners with World Economic Forum to Create Responsible AI Standards

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