Workflows

Build and automate multistep data annotation projects with ease

Build and Automate Multistep
Data Annotation Projects

Workflows saves you from having to manually manage complex processes so you can spend your time on building great AI-powered products.

High-quality Training Data 20x Faster at Half the Cost

Workflows allows customers to build and automate multistep data annotation projects with ease. The simple graphical interface ensures no coding skills are required to create a workflow consisting of multiple jobs.

Customers now have access to a real data pipeline solution that reduces latency and increases efficiency via automated data routing. Break down complex data annotation projects into smaller, easier tasks, then enjoy greater control over customization of job designs and contributor channels at each step.

Customers Running World-Class AI

Workflows Delivers:

Lower Costs at Scale

Combine human annotation with machine learning to deliver large volumes of annotated data up to 20 times faster at up to 50% lower cost, easily allowing you to scale your AI initiatives.

Plug and Play

Workflows uses a graphical user interface to enable anyone, regardless of skill, to configure operators with flexible routing rules. This eliminates reliance on limited technical resources and ensures the most important rows are annotated to your specifications.

Automated Data Pipeline Via API

Once you set up a workflow, leverage our Workflows API to programmatically send new data and conveniently obtain results in real time.

Enhanced Quality Control for
Annotation Projects

Easily break jobs into small tasks with no coding necessary, and complete jobs faster by automating the data routing between operators, reducing the rate of human error. Optimize the quality of your annotations through the ability to customize and target contributors for every task.

Automation and Increased
Efficiency

Automate data routing and the aggregation of results in a single report, eliminating the latency caused by manual labor and jobs that need to be run sequentially.

Secure Data Access

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,

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,

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,

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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Appen & Shotzr

Appen & Shotzr

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Speeds Up Identifying Which Images Need Location Metadata With Shotzr

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7 Advances That Are Pushing the Boundaries of Computer Vision

Person taking a photo of a garden with a cellphone

Person taking a photo of a garden with a cellphone

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What Is Image Annotation and How Is It Used To Build AI Models?

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Making AI work for your business

data pipelines for automotive AI

data pipelines for automotive AI

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Comprehensive Data Pipelines for Automotive AI Deployments

What is Sensor Fusion

What is Sensor Fusion

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What is Sensor Fusion?

Why human annotated data is key Appen blog

Why human annotated data is key Appen blog

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Why Human-Annotated Data is Key to Machine Learning: Three Use Cases

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The Basics of Small Data: Actionable Data Provide a New Path Forward in AI

Appen Secure Workspace

Appen Secure Workspace

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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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The Latest Innovations in Artificial Intelligence

What is Training Data?

What is Training Data?

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What is Training Data?

Outsourcing data annotation projects

Outsourcing data annotation projects

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5 Reasons to Outsource Your Data Annotation Projects

Improving Natural Language Recognition for Leading Social Media Firm Case Study

Improving Natural Language Recognition for Leading Social Media Firm Case Study

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Improving Natural Language Recognition for Leading Social Media Firm

talkiq case study

talkiq case study

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Dialpad Creates Data That Powers ML Models for Human Conversation at Scale

Artificial Intelligence in Automotive Industry: Appen Opens Detroit Office

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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8 Reasons Why Open Source Machine Learning Frameworks Still Rule the Landscape

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Crowd’s Collective Wisdom vs. Experts: Who Makes IBM Watson Smarter?

Illustration of Neural Network

Illustration of Neural Network

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Appen’s Top Five Blog Posts from 2018

China-Flag

China-Flag

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Recent AI Developments in China

How to Build Successful Computer Vision Applications at Scale

How to Build Successful Computer Vision Applications at Scale

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How to Build Successful Computer Vision Applications

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Appen Announces Strategic UK Acquisition

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How a Leading Software Provider Optimized its Global eCommerce Funnel

Build or Buy Data Annotation Tools

Build or Buy Data Annotation Tools

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Should You Build or Buy a Data Annotation Tool?

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Appen to Acquire Leapforce

How to Secure Your Data for AI Webinar

How to Secure Your Data for AI Webinar

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How to Secure Your Data for AI

What are Data Collection Solutions?

What are Data Collection Solutions?

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What are Data Collection Solutions?

Combining Human Intelligence with Machine Learning for NLP and Speech Webinar

Combining Human Intelligence with Machine Learning for NLP and Speech Webinar

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Combining Human Intelligence with Machine Learning for NLP and Speech

Don’t Start from Scratch When Building Machine Learning Models

Don’t Start from Scratch When Building Machine Learning Models

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Don’t Start from Scratch When Building Machine Learning Models

embracing work from home

embracing work from home

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Working In The Future: Embracing Work from Home

Training Data 101 Appen Webinar

Training Data 101 Appen Webinar

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Training Data 101 – How to Get Reliable Training Data to Power Your AI

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COVID-19 Update; Our Customers, Partners, Employees, and Crowd

Role of Quality Assurance in Artificial Intelligence

Role of Quality Assurance in Artificial Intelligence

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The Role of Quality Assurance in Artificial Intelligence

What is Optical Character Recognition?

What is Optical Character Recognition?

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What is Optical Character Recognition?

2020 predictions in artificial intelligence

2020 predictions in artificial intelligence

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Top 6 Trends for AI Initiatives Going into 2020

Data Science and Machine Learning Automation

Data Science and Machine Learning Automation

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Data Science and Machine Learning Automation: What to Know About the State of Automation in AI

How to Reduce Bias in AI

How to Reduce Bias in AI

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How to Reduce Bias in AI

2020 State of AI

2020 State of AI

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

Adobe Stock Case Study

Adobe Stock Case Study

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Adobe Stock: Improves Search Relevance of Massive Asset Profile

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Appen Announces Crowd Code of Ethics to Build Better AI

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

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Appen Around the Globe: Fall 2019 Conference Rundown

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Appen Leads Industry in Creating AI That Works for Everyone

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Appen Strengthens Leadership Team with Key Executive Hires to Support Continued Growth

to launch ai be prepared to scale

to launch ai be prepared to scale

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To Launch AI Successfully, Be Prepared to Scale

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Appen on the Road: Events & Trade Shows this Summer

AI Data Acquisition and Governance

AI Data Acquisition and Governance

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AI Data Acquisition and Governance

Real World AI Now Available

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

Crowd of blurred people at a trade show

Crowd of blurred people at a trade show

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Solving ML Training Data Challenges at Google Cloud Next

AI Requires a Human Touch_Appen Crowdsourcing_Crowd Sourced Data

AI Requires a Human Touch_Appen Crowdsourcing_Crowd Sourced Data

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AI Requires a Human Touch: How Appen Recruits Crowds to Improve Technology

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Image Processing User Cases

Appen Prize for Excellence Awarded at Sydney University

Appen Prize for Excellence Awarded at Sydney University

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Appen Prize for Excellence in Linguistics Awarded at Sydney University

New Off-the-Shelf (OTS) Datasets

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

Big Data Innovation Summit 2017 Six steps to harness unstructured data

Big Data Innovation Summit 2017 Six steps to harness unstructured data

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Insights from Big Data Innovation Summit 2017: Six Steps to Harness Unstructured Data

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What New Jobs Will AI Create?

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Appen Signs Distributor Agreement with Nuance Communications

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Improving Your Search Relevance Algorithm With Human Curated Data

Appen LocWorld China 2017

Appen LocWorld China 2017

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Insights from LocWorld China 2017 | Data is Key

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How do you map out a conversation you haven’t even had yet?

Appen remote jobs Flexjobs 2017

Appen remote jobs Flexjobs 2017

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Appen Awarded #1 Ranking on FlexJobs’ 100 Top Companies to Watch for Remote Jobs 2017

training conversational agents

training conversational agents

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How to Approach Data Collection for Conversational AI Agents

Graphic Illustration

Graphic Illustration

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Executive Insights from AI Summit NYC

Appen Announces Hiring of Wilson Pang as Chief Technology Officer

Appen Announces Hiring of Wilson Pang as Chief Technology Officer

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Appen Announces Hiring of Wilson Pang as Chief Technology Officer

Artificial Intelligence and Machine Learning Industry News: AI in Retail, Interactive Vending Machines, and Voice Recognition

Artificial Intelligence and Machine Learning Industry News: AI in Retail, Interactive Vending Machines, and Voice Recognition

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Artificial Intelligence and Machine Learning Industry News: AI in Retail, Interactive Vending Machines, and Voice Recognition

Top Takeaways from AI World

Top Takeaways from AI World

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Insights from AI World 2016 | Top Takeaways

Top Software Provider Develops Global CLDR through Trusted Partnership

Top Software Provider Develops Global CLDR through Trusted Partnership

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Top Software Provider Develops Global CLDR through Trusted Partnership

Artificial Intelligence for Automotive Applications

Artificial Intelligence for Automotive Applications

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Five Challenges of Artificial Intelligence for Automotive Applications

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Insights From O’Reilly Media’s Artificial Intelligence 2018 Conference

data protection regulations and certifications

data protection regulations and certifications

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AI and Data Protection: Certifications and Regulations

conversational ai chatbots

conversational ai chatbots

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Conversational AI: Making Smarter and More Scalable Models

Global Tech Firm Expands into New Markets with Enhanced Speech System

Global Tech Firm Expands into New Markets with Enhanced Speech System

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Global Tech Firm Expands into New Markets with Enhanced Speech System

Natural Language Processing (NLP)

Natural Language Processing (NLP)

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What is Natural Language Processing?

What is Human-centered AI?

What is Human-centered AI?

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What is Human-centered AI?

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