Appen.io: Difference between revisions

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== Overview ==
= Appen.io =


Basic Information
Appen is a leading global technology company that specializes in providing high-quality training data for artificial intelligence (AI) and machine learning applications. Here's a comprehensive overview of Appen:


* Title: appen.io/
== Company Background ==


Appen was founded in 1996 by linguist Dr. Julie Vonwiller in Sydney, Australia[1]. The company went public on the Australian Securities Exchange (ASX) in 2015 under the ticker APX[1]. Appen has grown significantly through acquisitions, including Leapforce in 2017 and Figure Eight in 2019[1].


== Core Business ==


Appen's primary focus is on collecting, labeling, and curating large datasets used to train AI models across various modalities including text, speech, image, and video4<ref name="ref7">7</ref>. Their services are critical for developing and improving:


How fast does appen.io load?
- Natural Language Processing (NLP) systems
- Computer Vision applications
- Speech Recognition technologies
- Search and social media algorithms
- Autonomous vehicle systems


* Slow (6.441 Seconds), 97% of sites are faster.
== AI Data Platform ==


Appen offers an AI Data Platform (ADAP) that combines automation with human oversight to deliver high-quality training data[4]. Key features include:


- Flexible annotation tools for text, audio, image, and video data
- Customizable workflows
- Quality control measures
- Integration capabilities with major cloud platforms


== Global Workforce ==


== Contributing Subdomains ==
Appen maintains a network of over 1 million skilled contributors worldwide who perform data annotation and collection tasks1<ref name="ref4">4</ref>. This global crowd allows Appen to handle projects requiring diverse languages, cultures, and skill sets.
Where do visitors go on appen.io?
{| class="wikitable"
|+
!Subdomain
!Percent of Visitors
!Percent of PageViews
!PageViews Per User
|-
|view.appen.io
|100.00%%
|100.00%%
|12
|}


== Usage Statistics ==
== Client Base ==
{| class="wikitable"
|+
!Data
!Rank
!Reach of PerMillion
!PageViews of PerMillion
!PageViews of PerUser
|-
|3-Month
|60655 (-81355)
|7.7 (+170%)
|2.68 (+280%)
|13 (+40%)
|-
|1-Month
|33010 (-93207)
|15 (+420%)
|5.05 (+200%)
|12 (-41.71%)
|-
|7-Day
|32392 (+13391)
|15 (-49.129%)
|7.6 (-0.18%)
|19 (+100%)
|-
|1-Day
|175499 (+144940)
|2 (-88.150%)
|8.6 (+20%)
|200 (+1000%)
|}


== Data Source and Validity ==
Appen works with many of the world's largest technology companies, including 8 of the top 10 tech giants[1]. Their services are used across various industries such as:


The information is sourced from Amazon's Alexa Top Sites service. It's important to note that this service was discontinued as of May 15, 2022. The data presented is collected up to the final day of API interface availability, which was December 15, 2022.
- Technology
- Automotive
- E-commerce
- Advertising
- Financial services


== Alternative Tools and Recommendations ==
== Recent Developments ==


If you are an SEO professional, it is recommended to utilize platforms such as Semrush, Ahrefs, or Similarweb for comprehensive data analytics. For those solely interested in website rankings, Cloudflare Radar serves as a suitable alternative.
In 2024, Appen rebranded its contributor platform from "Appen Connect" to "CrowdGen"[8]. This new platform aims to improve project matching, payment options, and overall user experience for Appen's global workforce.
 
== Challenges and Controversies ==
 
While Appen is a legitimate company, there have been some complaints from contributors about payment issues and communication problems, particularly after the transition to the CrowdGen platform[12]. The company has faced challenges in scaling its operations while maintaining consistent quality and contributor satisfaction.
 
== Industry Position ==
 
Appen remains a significant player in the AI data services market, competing with companies like Lionbridge AI and CloudFactory. The company's long history, global reach, and diverse capabilities position it well to serve the growing demand for AI training data across industries.
 
In conclusion, Appen plays a crucial role in the AI ecosystem by providing the large-scale, high-quality datasets necessary for training and improving machine learning models. While facing some operational challenges, the company continues to evolve its offerings to meet the changing needs of the AI industry.
 
== References ==
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