Appen helps businesses improve their AI and machine learning models.

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Overview

Appen is a global company that specializes in data collection and data annotation. They provide high-quality training data to help AI and machine learning systems perform better. With a large crowd of contributors around the world, Appen ensures that the data used for training AI models is both accurate and diverse.

Founded in 1996, Appen has built a robust platform that connects businesses needing data with people who can create it. Their services range from collecting unstructured data to annotating images, audio, and text. This makes them a valuable partner for companies looking to enhance their AI capabilities.

The importance of training data cannot be overstated. Good training data is essential for making AI reliable and effective. Appen understands this need and fills the gap by providing tailored solutions to fit any project size. Businesses can rely on their extensive experience and flexible approach to meet their specific data needs.

Pricing

PlanPriceDescription
Appen Data Annotation PlatformSaaS subscription pricing dependent on use case and data typeThe industry’s most advanced AI-assisted data annotation platform used to collect and annotate data for training both computer vision and natural language processing AI models.
Managed ServicesBespoke based on customer needs-

Key features

Global Crowd

Appen has a diverse crowd of contributors from around the world, ensuring a wide range of data sources.

Data Collection

They specialize in gathering unstructured data for various industries, helping businesses find the information they need.

Data Annotation

Appen provides detailed annotation services, making raw data usable for AI training.

Flexible Solutions

They offer customized data services to fit projects of all sizes, from small startups to large enterprises.

Quality Control

Appen employs strict quality checks to ensure the accuracy and relevance of the data supplied.

Multiple Data Types

Services include text, audio, and image data, catering to all aspects of AI model development.

Rapid Turnaround

Appen understands the fast pace of technology and aims for quick delivery timelines for data projects.

Expert Support

Their team provides guidance and support throughout the data preparation process.

Pros & Cons

Pros

  • High Quality Data
  • Diverse Contributors
  • Tailored Services
  • Established Reputation
  • Comprehensive Solutions

Cons

  • Cost
  • Complex Processes
  • Variable Quality
  • Dependency on Contributors
  • Time Intensive

Feature Ratings

Based on real user reviews, here's how users rate different features of this product.

Data Governance

User Access Management83%

Based on 11 Appen reviews. Allows administrators to assign role-based user access for specific data sets

Based on 11 reviews
Dynamic Data Masking83%

Based on 10 Appen reviews. Hides and masks sensitive data automatically based on user permissions

Based on 10 reviews
Data Lineage78%

Based on 10 Appen reviews. Provides historical insights into original data sources and transformations made to data sets

Based on 10 reviews

Data Preparation

Search82%

Based on 11 Appen reviews. Offers simple search capabilities to discover specific data sets

Based on 11 reviews
Data Quality and Cleansing82%

As reported in 11 Appen reviews. Allows users and administrators to easily clean data to maintain quality and integrity

Based on 11 reviews
Data Transformation77%

As reported in 10 Appen reviews. Converts data formats of source data into the format required for the reporting system without mistakes

Based on 10 reviews
Data Modeling82%

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately 10 reviewers of Appen have provided feedback on this feature.

Based on 10 reviews

Collaboration

Commenting82%

Based on 10 Appen reviews. Allows users to comment on data sets to help future users better interact and interpret the data

Based on 10 reviews
Profiling and Classification82%

Permits profiling of data sets for increased organization, both by users and machine learning This feature was mentioned in 11 Appen reviews.

Based on 11 reviews
Business and Data Glossary

Creates a business glossary for faster understanding by the average business user

Metadata Management

Indexes metadata descriptions for easier searching and enhanced insights

Artificial Intelligence

Machine Learning Recommendations

Automates recommendations for users based on machine learning functionality

Natural Language Query

Offers natural language querying functionality for non-technical users

Automatic Data Cleansing

Cleans data to improve quality via automation

Quality

Labeler Quality

Gives user a metric to determine the quality of data labelers, based on consistency scores, domain knowledge, dynamic ground truth, and more.

Task Quality

Ensures that labeling tasks are accurate through consensus, review, anomaly detection, and more.

Data Quality

Ensures the data is of a high quality as compared to benchmark.

Human-in-the-Loop

Gives user the ability to review and edit labels.

Automation

Machine Learning Pre-Labeling

Uses models to predict the correct label for a given input (image, video, audio, text, etc.).

Automatic Routing of Labeling

Automatically route input to the optimal labeler or labeling service based on predicted speed and cost.

Image Annotation

Image Segmentation

Has the ability to place imaginary boxes or polygons around objects or pixels in an image.

Object Detection

has the ability to detect objects within images.

Object Tracking

Track unique object IDs across multiple video frames

Data Types

Supports a range of different types of images (satelite, thermal cameras, etc.)

Natural Language Annotation

Named Entity Recognition

Gives user the ability to extract entities from text (such as locations and names).

Sentiment Detection

Gives user the ability to tag text based on its sentiment.

OCR

Gives user the ability to label and verify text data in an image.

Speech Annotation

Transcription

Allows the user to transcribe audio.

Emotion Recognition

Gives user the ability to label emotions in recorded audio.

Rating Distribution

5
15 (51.7%)
4
10 (34.5%)
3
3 (10.3%)
2
1 (3.4%)
1
0 (0.0%)

Screenshots

4.2
Based on 29 reviews
Cliff M.UX/UI Usability Research TesterSmall-Business(50 or fewer emp.)
July 18, 2024

An highly advanced, thorough, and unique approach to Data Annotation!

What do you like best about Appen?

The platform's ability to provide very high levels of accuracy for our previous need for tagging images, video, and text. Analyzing accuracy and a high level of completion was extremely efficient and easy. Appen helped get my business up and running, so that is a major upside.

What do you dislike about Appen?

I can find no downside or dislikes during my time using Appen. Perhaps I can only comment on a long learning curve but that was mostly due to personal experience.

What problems is Appen solving and how is that benefiting you?

For me, Appen was able to solve my problem mostly through data labelling. I was able to get immense exposure for my organization in its infancy stages without the need to spend 10's of thousands of dollars on advertising and marketing campaigns. It also quelled the need to hire additional staff during my startup phase when funding wasn't adequate to do so.

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Jojo D.Sales And Marketing SpecialistMid-Market(51-1000 emp.)
February 28, 2024

flexibility and changes

What do you like best about Appen?

It has a flexibility that comes working remotely with appen also it offers a variety of work and projects the job is offer a valuable experiences.

What do you dislike about Appen?

One thingh that is dislike with appen is is inconsistency of job offer you cant rel...

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Vipul P.Project ManagerEnterprise(> 1000 emp.)
December 5, 2024

Earn some extra bucks - Appen

What do you like best about Appen?

Using appen from long time here are some of the cons of the it listed -

1) Easy to implement work is available sometimes to earn the extra income.

2) Frequent few cents quick tasks can be found listed on the platform.

3) Customer support has a good available at th...

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Mark G.Team LeaderEnterprise(> 1000 emp.)
February 23, 2024

Lots of Links, Links and Links

What do you like best about Appen?

I really liked that Appen is mostly web-based. The loading times are fast, and the site is easy to navigate and is very intuitive.

What do you dislike about Appen?

The links are just confusing. Sometimes you'd have an access issue, because you logged in on a incor...

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Imran A.Full Stack developerSmall-Business(50 or fewer emp.)
March 9, 2024

An amazing remote working site

What do you like best about Appen?

The thing that I have liked about Happen its their remote working opportunity from all over the globe for people who love Data , AI, and much more.

What do you dislike about Appen?

The projects are not consistent sometimes the projects are available and sometimes ...

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Company Information

LocationKirkland, US
Founded1996
Employees19.1k+
LinkedInView Profile

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FAQ

Here are some frequently asked questions about Appen.

Appen is a company that provides data collection and annotation services for AI and machine learning.

Appen uses strict quality control processes and employs a global crowd of contributors.

Appen offers text, audio, and image data collection and annotation services.

Yes, Appen offers flexible solutions that can be tailored to the needs of small businesses.

You can start by visiting their website and setting up a consultation to discuss your data needs.

Appen serves various industries, including technology, automotive, healthcare, and finance.

Yes, Appen has experience in managing large scale data projects efficiently.

Appen typically provides customized pricing based on project requirements, so payment options may vary.