Appen platform Overview

Appen supplies high-quality data solutions that enhance AI model performance through human-AI collaboration. By focusing on data as a differentiator, Appen accelerates AI development, helping organizations stay competitive. Their expertise supports the entire AI lifecycle, ensuring that businesses can innovate effectively.

Use Cases

Customers recommend Workflow Management, Lead Qualification: Technographic, Helpdesk Management, as the business use cases that they have been most satisfied with while using Appen platform.

Other use cases:

  • Content Management
  • Channel Marketing
  • Digital Signature
  • Proposal & Quote Management
  • Playbook Creation
  • Sending & Publishing Communications
  • International Marketing
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Business Priorities

Improve ROI and Increase Sales & Revenue are the most popular business priorities that customers and associates have achieved using Appen platform.

Other priorities:

  • Launch New Products
  • Enter New Markets Internationally Or Locally
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Appen platform Use-Cases and Business Priorities: Customer Satisfaction Data

Appen platform works with different mediums / channels such as Phone Calls. Mass Media. and Video.

Appen's AI Data Platform accelerates AI innovation from traditional machine learning to generative AI. The platform fosters advancements across the entire AI lifecycle.

Popular Business Setting

for Appen platform

Top Industries

  • Marketing and Advertising
  • Education
  • Sports

Popular in

  • Enterprise
  • Mid Market
  • Small Business

Appen platform is popular in Marketing And Advertising, Education, and Sports and is widely used by Enterprise, Mid Market, and Small Business.

Comprehensive Insights on Appen platform Use Cases

What makes Appen platform ideal for Workflow Management?

How does Appen platform facilitate Lead Qualification: Technographic?

8+ more Business Use Cases

20 buyers and buying teams have used Cuspera to assess how well Appen platform solved their business needs. Cuspera uses 386 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific business needs.

Case Studies

Internet

CASE STUDY A major social network provider

Appen helped a major social network provider improve its search functionality. The company needed better search for people, posts, and news but struggled with a previous vendor. Appen ran a pilot wit...h 80 US-based raters, quickly ramping up to 1200 raters across four markets and fifteen projects in one year. The provider saw higher quality data, faster market entry, and a proven model for global expansion. Appen's expertise and remote rater model delivered cost-effective, efficient results.

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Internet

CASE STUDY A leading multilingual search engine and mobile app provider

Appen helped a leading multilingual search engine and mobile app provider improve its local business listings. The company struggled to keep listings accurate as more businesses appeared online. Appe...n used in-market evaluators to review, verify, and update business data. The project grew from 10 to 440 evaluators in 31 markets. Over two years, Appen verified and corrected more than 750,000 business listings, making the search engine more reliable for users.

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Marketing and Advertising

CASE STUDY Zefr

Appen’s crowdsourcing solution helped Zefr improve the quality and output of their data insights. Zefr needed to scale video data review for contextual advertising but struggled with limited internal... resources. By partnering with Appen, Zefr increased their video review capacity from 15,000 to 100,000 videos per month. This 6.6x increase let Zefr deliver faster, more reliable results to their customers. The quality and consistency of data also improved, reducing manual rework and boosting confidence in their solutions.

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Entertainment

CASE STUDY Top Gaming Company

Appen’s data labeling platform helped a large US-based gaming company improve customer support. The company struggled to scale its AI chatbot training due to limited resources and manual processes. A...ppen’s platform replaced Excel-based workflows, allowing quick onboarding of new labelers and better tracking of performance. The team grew rapidly, increasing labeled data from 13,000 to nearly 156,000 rows. Chatbots now respond faster and more accurately, giving players a better support experience.

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Marketing and Advertising

CASE STUDY Shotzr

Appen helped Shotzr speed up image labeling for their marketing platform. Shotzr needed to identify which images required location metadata to improve search and recommendations. Using Appen's platfo...rm, Shotzr automated the process and quickly identified over 17,000 images that did not need extra labeling. They expect to remove over 61 million assets from manual review. This lets Shotzr focus on images that benefit from location data and build new models faster.

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Computer Software

CASE STUDY A major international software provider

Appen helped a major international software provider update its Unicode Common Locale Data Repository (CLDR) for 66 markets. The client needed in-market resources and strong project management to mee...t its yearly refresh cycle. Appen provided three resources per market, managed complex logistics, and handled data entry, voting, and forum participation. The client saved time and money, avoided sending employees into the field, and received a high-quality update. The project was a success and led to ongoing collaboration.

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lightning

Peers used Appen platform for workflow management and lead qualification: technographic

Appen platform Features

  • Low
  • Medium
  • High
FEATURE RATINGS AND REVIEWS
AI Powered

4.17/5 ★

Read Reviews (99)
Analytics

4.22/5 ★

Read Reviews (58)
Custom Reports

3.83/5 ★

Read Reviews (25)
CAPABILITIES RATINGS AND REVIEWS
AI Powered

4.17/5 ★

Read Reviews (99)
Analytics

4.22/5 ★

Read Reviews (58)
Custom Reports

3.83/5 ★

Read Reviews (25)

Software Failure Risk Guidance

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for Appen platform

Overall Risk Meter

Low Medium High

Top Failure Risks for Appen platform

Appen News

Product

Off-the-Shelf AI Training Datasets - Appen

Appen provides pre-made datasets for training AI models.

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Appen Profile

Company Name

Appen

Company Website

https://appen.com/

HQ Location

940 Howard St, San Francisco, California US

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