Data Collection / Harvesting Services
Data collection companies gather data for businesses according to their needs. +Show More
| Products | Position | Data Collection Focus | ISO 27001 Certification | ||
|---|---|---|---|---|---|
Clickworker |
Leader
|
✅
|
✅
|
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Over 4.5 million Clickworkers can collect data, annotate data, analyze sentiments, participate in surveys and offer SEO content writing services.
Data collection: Your algorithms need human interaction if you want them to provide human-like results. We are ready to help you get more out of your algorithms by generating, labeling and validating unique AI datasets, specifically tailored to your needs as well as provide you with a solution for analyzing your AI’s output results in no time.
SEO content services: Our international pool of qualified Clickworkers develops search optimized texts (unique content for SEO) in a variety of languages to help your key customers find you online and to ensure you rank high above the competition.
Sentiment analysis: It is not an easy task trying to figure out the emotions your customers feel when getting in contact with your brand, products or services. Our sentiment analysis service helps you to better understand customers’ sentiments related to your business. Together with our large crowd of Clickworkers, we analyze your material for you. No matter if you want us to go through texts, videos, or audio files, all files are carefully examined, evaluated and categorized according to the criteria specified by you.
Data annotation: Take advantage of our audio, image, text and video annotation services to promptly obtain large quantities of high-quality training data for use with your computer vision, NLP and speech models. Our Clickworkers ensure highly individualized implementation of your annotation projects.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
1k-2k employees
Company's social media followers
10k-20k followers
Features
Data Collection Focus
✅
Data Annotation
✅
Mobile Application
✅
API Availability
✅
ISO 27001 Certification
✅
Code of Conduct
✅
|
|||||
Appen |
Leader
|
-
|
✅
|
|
|
|
Appen combines the best of human and machine intelligence to provide high-quality annotated training data
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
20-30 case studies
Company's number of employees
10k-20k employees
Company's social media followers
1m-2m followers
Features
Data Annotation
✅
Mobile Application
✅
API Availability
✅
ISO 27001 Certification
✅
Code of Conduct
✅
Company
Type of company
public
Founding year
2011
|
|||||
Amazon Mechanical Turk |
Leader
|
✅
|
-
|
|
|
|
Amazon Mechanical Turk (MTurk) serves as a crowdsourcing hub, enabling individuals and businesses to delegate tasks to a worldwide virtual workforce, facilitating data collection, annotation, and various services through its network of ~500,000 workers.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
10m-20m followers
Features
Data Collection Focus
✅
Data Annotation
✅
Mobile Application
❌
API Availability
✅
Code of Conduct
❌
Company
Type of company
private
Founding year
1996
|
|||||
TELUS International |
Leader
|
❌
|
❌
|
|
|
|
Playment offers a fully-managed data labeling solution to build highly accurate training datasets for computer vision models
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
5-10 case studies
Company's number of employees
3k-4k employees
Company's social media followers
100k-1m followers
Total funding
$1-5m
# of funding rounds
4
Latest funding date
November 21, 2017
Last funding amount
$1-5m
Features
Data Collection Focus
❌
Data Annotation
✅
Mobile Application
❌
API Availability
✅
ISO 27001 Certification
❌
Code of Conduct
❌
Company
Type of company
private
Founding year
2015
|
|||||
Innodata |
Leader
|
✅
|
✅
|
|
|
|
Innodata offers AI data collection and generation services through a crowdsourcing model along with other data engineering services.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
4k-5k employees
Company's social media followers
40k-50k followers
Features
Data Collection Focus
✅
Data Annotation
✅
Mobile Application
❌
API Availability
✅
ISO 27001 Certification
✅
Code of Conduct
❌
Company
Type of company
public
Founding year
1988
|
|||||
TaskUS |
Challenger
|
❌
|
✅
|
|
|
|
TaskUS offers AI services, including training data collection, data annotation, and model evaluation through a crowdsourcing model.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
20k-30k employees
Company's social media followers
100k-1m followers
Total funding
$250-500m
# of funding rounds
3
Latest funding date
August 9, 2018
Last funding amount
$250-500m
Features
Data Collection Focus
❌
Data Annotation
✅
Mobile Application
❌
API Availability
✅
ISO 27001 Certification
✅
Code of Conduct
✅
Company
Type of company
public
Founding year
2008
|
|||||
DataForce by TransPerfect |
Challenger
|
✅
|
✅
|
|
|
|
The DataForce Platform is a proprietary solution developed in-house by TransPerfect for various types of data-oriented projects like AI training data generation, data collection, etc.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
10k-20k employees
Company's social media followers
1m-2m followers
Total funding
$250-500m
# of funding rounds
1
Latest funding date
June 20, 2019
Last funding amount
$250-500m
Features
Data Collection Focus
✅
Data Annotation
✅
Mobile Application
✅
API Availability
❌
ISO 27001 Certification
✅
Code of Conduct
❌
Company
Type of company
private
Founding year
1992
|
|||||
shaip |
Challenger
|
-
|
-
|
|
|
|
Headquartered in Louisville, Kentucky, Shaip offers a human-in-the-loop data platform and services to support all aspects of managing training data for the development of AI/ML models. From data collection, licensing, curation, labeling, transcribing to the seamless scalability of our people, platform, and processes, Shaip contributes to a diverse set of verticals to solve the most demanding AI challenges.
Leverage next-gen cognitive data labeling services to acquire readily available quality data to train AI/ML algorithms, developed by our pool of AI data annotation experts, and accelerate deep learning.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
300-400 employees
Company's social media followers
10k-20k followers
Company
Type of company
private
Founding year
2018
|
|||||
Surge AI |
Challenger
|
❌
|
✅
|
|
|
|
Train AI with human-generated data. Build powerful datasets with Surge AI's global data labeling platform and workforce.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
50-100 employees
Company's social media followers
5k-10k followers
Total funding
$10-50m
# of funding rounds
1
Latest funding date
July 1, 2020
Last funding amount
$10-50m
Features
Data Collection Focus
❌
Data Annotation
✅
Mobile Application
❌
API Availability
✅
ISO 27001 Certification
✅
Code of Conduct
❌
Company
Type of company
private
Founding year
2020
|
|||||
Toloka |
Challenger
|
✅
|
✅
|
|
|
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
1k-2k employees
Company's social media followers
50k-100k followers
Features
Data Collection Focus
✅
Data Annotation
✅
Mobile Application
✅
API Availability
✅
ISO 27001 Certification
✅
Code of Conduct
✅
Company
Type of company
private
Founding year
2014
|
|||||
“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.
Sources
AIMultiple uses these data sources for ranking solutions and awarding badges in data collection services:
Data Collection Leaders
According to the weighted combination of 4 metrics
What are data collection
customer satisfaction leaders?
Taking into account the latest metrics outlined below, these are the current data collection customer satisfaction leaders:
Which data collection solution provides the most customer satisfaction?
AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.
While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.
- Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
- Recency is important as products are always evolving.
- Reviews older than 5 years are not taken into consideration
- older than 12 months have reduced impact in average ratings in line with their date of publishing.
What are data collection
market leaders?
Taking into account the latest metrics outlined below, these are the current data collection market leaders:
Which one has collected the most reviews?
AIMultiple uses multiple datapoints in identifying market leaders:
- Product line revenue (when available)
- Number of reviews
- Number of case studies
- Number and experience of employees
- Social media presence and engagement
What are data collection feature leaders?
Taking into account the latest metrics outlined below, these are the current rpa software feature leaders.
Which one offers the most features?
Clickworker, LXT, Summa Linguae Technologies offer the most feature complete products.
What are the most mature data collection services?
Which one has the most employees?
Which data collection companies have the most employees?
1,186 employees work for a typical company in this solution category which is 1,163 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 13 companies with >10 employees are offering data collection services. Top 3 products are developed by companies with a total of 100k employees. The largest company in this domain is AWS with more than 100,000 employees. AWS provides the data collection solution: Amazon Mechanical Turk
Insights
What are the most common words describing data collection services?
This data is collected from customer reviews for all data collection companies. The most positive word describing data collection services is “Easy to use” that is used in 3% of the reviews. The most negative one is “Difficult” with which is used in 4% of all the data collection reviews.
What is the average customer size?
According to customer reviews, most common company size for data collection customers is 1-50 Employees. Customers with 1-50 Employees make up 69% of data collection customers. For an average AI Services solution, customers with 1-50 Employees make up 27% of total customers.
Customer Evaluation
These scores are the average scores collected from customer reviews for all data collection services. Data Collection Services are most positively evaluated in terms of "Overall" but falls behind in "Customer Service".
Where are data collection vendors' HQs located?
Trends
What is the level of interest in data collection services?
This category was searched on average for 430 times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other ai services solutions, a typical solution was searched 12.9k times in 2024 and this decreased to 0 in 2025.
Learn more about Data Collection Services
Data collection is the process of gathering secondary or newly generated data to use in projects such as AI development, market research, educational research, etc.
Data collection companies offer different types of data, either by generating it or gathering it from various sources. Their offerings include AI training datasets, market research datasets, academic research datasets, survey data, etc.
With the volume of data required and managed for AI projects, It can be resources-heavy to perform such tasks in-house. Working with a data collection service provider can help business leaders fulfill their data needs more efficiently.
A data collection service can offer:
- A faster service
- Human-generated data (image, video, audio, text. etc)
- More diverse and multilingual datasets
- Scalable services
- A cheaper option than in-house data collection.
Data collection services usually have a vast network of contributors that generate data on demand for different use cases. Some companies also offer pre-packaged datasets which have been gathered in the past.
Data crowdsourcing can benefit your business by enabling access to a large network of talent that gathers or generates fresh data on demand. Crowdsourcing platforms can provide diverse datasets that are cheaper and faster to obtain.