Search company, investor...

Founded Year



Acq - Talent | Acquired

About Dataturks

DataTurks is an online platform for teams to collaborate and annotate data for ML projects. The platform provides intuitive UI with shortcuts and gamification to allow creation of datasets for NLP, Sentiment Analysis and Computer Vision in no time.

Headquarters Location

L-148, Sector 6

Bengaluru, 560102,


(+91) 080-331-72755



Expert Collections containing Dataturks

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Dataturks is included in 1 Expert Collection, including Artificial Intelligence.


Artificial Intelligence

10,958 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.

Latest Dataturks News

04:00 ET Data Annotation Tools Market Demand to Hit $7 Bn by 2027; Global Market Insights, Inc.

May 12, 2021

Some of the data annotation tools market participants are Appen Limited, Amazon Web Services, Inc., Clickworker, CloudApp, CloudFactory Limited, Cogito Tech, Dataturks, Google LLC, Hive, IBM Corporation, iMerit, Labelbox, LionBridge AI, MonkeyLearn, Neurala, Playment Inc., Samasource, Scale, and Webtunix AI. News provided by Share this article Share this article SELBYVILLE, Del., May 12, 2021 /PRNewswire/ -- Global Market Insights Inc. has recently added a new report on the data annotation tools market which estimates the market valuation  for data annotation tools will cross US$ 7 billion by 2027. The steadily growing uptake of data annotation tools by healthcare institutions for medical image labeling and classification of medical literature is likely to drive the industry demand. Data Annotation Tools Market size is set to surpass USD 7 billion by 2027, according to a new research report by Global Market Insights, Inc. The text annotation tools segment will witness a rapid growth rate of over 30% from 2021 to 2027 as textual data labeling becomes increasingly crucial for developing document classification algorithms and performing sentiment analysis. Textual data annotation is also gaining importance in social media text mining as federal agencies and national security authorities monitor the behavior of citizens for potential terrorist threats. Using deep learning neural networks integrated with text annotation solutions, security agencies can monitor potential threat topics and objectional material mentioned in social media handles. Request for a sample of this research report @ The manual data annotation tools segment held a substantial market share in 2020 due to the better quality of labeled data compared to automated data labeling. Manual data labeling is performed by highly skilled professionals with strong expertise in the nature and content of data. Human annotators can detect and handle even the smallest of discrepancies in the input data, which are prone to be missed by automated data labeling tools. The agriculture segment is anticipated to register exponential growth over the forecast period due to the increasing proliferation of artificial intelligence in precision agriculture. Data labeling solutions enable enterprises to develop computer vision models, which are used for a variety of agricultural end-uses such as livestock monitoring, crop monitoring, pest & disease control, soil quality assessment, and crop harvesting. Europe is set to witness a lucrative growth rate of nearly 30% by 2027 due to the extensive adoption of AI technologies by European business corporations. The region has a mature AI industry with several countries including Germany, the Netherlands, and the Nordics being regional leaders in the implementation of machine learning applications. The European Commission has also prioritized the importance of machine learning in improving the digital economy of the region with an allocated budget of over USD 775 million for AI-related projects in its Horizon 2020 digital strategy. Companies operating in the data annotation tools industry  are focusing on various business growth strategies including investments in new data labeling solutions, strengthening partner network, and geographical expansion. Through such strategic moves, companies are trying to gain a broader market share and maintain their leadership in the market. For instance, in January 2020, IBM launched a cloud annotation tool to automate image labeling processes with the help of AI applications. The tool helps developers to annotate data without manual inputs and for easy data labeling. Some major findings of the Data Annotation Tools market report include: The growing importance of accurately labeled textual data to develop novel technologies, such as natural language generation, text-to-speech, and voice recognition, will create a positive outlook for the data annotation tools market. Data scientists are reaping the benefits of automated data labeling tools, which will facilitate quick & accurate labeling of large-scale datasets including support for big data and Hadoop platforms. Some of the leading market players are Amazon Web Services, Inc., Clickworker GmbH, CloudApp, Inc., Google LLC, and IBM Corporation. Data annotation tool providers are focusing on strategic collaborations and long-term contracts with clients to gain market share. Request for customization of this research report at Partial chapters of report table of contents (TOC): Chapter 3   Data Annotation Tools Industry Insights 3.1    Introduction

Dataturks Frequently Asked Questions (FAQ)

  • When was Dataturks founded?

    Dataturks was founded in 2018.

  • Where is Dataturks's headquarters?

    Dataturks's headquarters is located at L-148, Sector 6, Bengaluru.

  • What is Dataturks's latest funding round?

    Dataturks's latest funding round is Acq - Talent.

  • Who are the investors of Dataturks?

    Investors of Dataturks include Walmart Labs and Axilor Accelerator.



CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.