Top 10 Text Analytics Startups to Look Out For in [2023]

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Top 10 Text Analytics Startups to Look Out For in [2023]

Have you ever wondered who is on the list of Text Analytics Companies with the highest growth rates?

You’re not alone.

There are hundreds of Text Analytics Companies found there, and keeping track of the hottest new startups can be challenging.

But don’t worry, we’ve got you covered. Here are the top 10 fast-growing Text Analytics Startups that have top-tier venture capital funding.

What are Text Analytics Startups?

Text analytics startups are companies that use technology to extract meaning from natural language text, such as analyzing sentiment, extracting topics and entities, and providing predictive insights. 

They typically use natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) to process large amounts of text and uncover hidden patterns and trends. These startups often offer services to businesses, such as analyzing customer feedback or predicting customer behavior.

Top 10 Fastest-Growing Startups In Text Analytics

1) Genesys

Genesys is a global leader in providing cloud and on-premises omnichannel customer experience (CX) and contact center solutions.

Details of the startup:

  • Country: United States
  • City: Daly City
  • Started in: 1990
  • Founders: Alec Miloslavsky, Greg Shenkman
  • Number of employees: 5001-10000
  • Funding amount: $900,000,000
  • Number of funding rounds: 2
  • Number of investors: 3

You can find their website here.

2) Bobble AI

Bobble AI is a keyboard discussion media platform that creates customised content for its customers using artificial intelligence.

Details of the startup:

  • Country: India
  • City: Haryana
  • Started in: 2015
  • Founders: Ankit Prasad, Mohd Wassem, Rahul Prasad
  • Number of employees: 51-100
  • Funding amount: $13,275,213
  • Number of funding rounds: 5
  • Number of investors: 3

You can find their website here.

3) TigerConnect

TigerConnect is a collaborative platform for healthcare that improves clinical operations and systems.

Details of the startup:

  • Country: United States
  • City: Santa Monica
  • Started in: 2010
  • Founders: Andrew Brooks M.D., Brad Brooks
  • Number of employees: 101-250
  • Funding amount: $100,400,000
  • Number of funding rounds: 6
  • Number of investors: 17

You can find their website here.

4) Clarabridge

With its industry-leading Customer Experience Management platform, Clarabridge helps businesses win the hearts and minds of their customers.

Details of the startup:

  • Country: United States
  • City: Reston
  • Started in: 2006
  • Founders: Gene Sohn, Justin Langseth, Sid Banerjee
  • Number of employees: 251-500
  • Funding amount: $124,941,646
  • Number of funding rounds: 7
  • Number of investors: 7

You can find their website here.

5) Kira Systems

Kira Systems’ machine learning software recognizes, extracts, and analyzes text in contracts and other documents.

Details of the startup:

  • Country: Canada
  • City: Toronto
  • Started in: 2011
  • Founders: Alexander Hudek, Noah Waisberg
  • Number of employees: 101-250
  • Funding amount: CA$65,000,000
  • Number of funding rounds: 1
  • Number of investors: 1

You can find their website here.

6) Sinequa

Sinequa provides the most comprehensive enterprise search available to both large and complicated companies.

Details of the startup:

  • Country: France
  • City: Paris
  • Started in: 2002
  • Founders: Alexandre Bilger
  • Number of employees: 101-250
  • Funding amount: $28,330,000
  • Number of funding rounds: 2
  • Number of investors: 3

You can find their website here.

7) Talkwalker

Talkwalker is a listening and analytics startup that has helped over 1,000 brands improve the effectiveness of their communications.

Details of the startup:

  • Country: Luxembourg
  • City: Luxembourg
  • Started in: 2009
  • Founders: Christophe Folschette, Thibaut Britz
  • Number of employees: 101-250
  • Funding amount: $9,297,390
  • Number of funding rounds: 3
  • Number of investors: 2

You can find their website here.

8) Seedlink

Seedlink uses artificial intelligence to help businesses make better personnel and human resource decisions.

Details of the startup:

  • Country: The Netherlands
  • City: Amsterdam
  • Started in: 2013
  • Founders: Rina Joosten-Rabou, Robin Young, Summer Xia
  • Number of employees: 51-100
  • Funding amount: € 3,000,000
  • Number of funding rounds: 2

You can find their website here.

9) AYLIEN

AYLIEN is an artificial intelligence business that develops technology to aid machines in better understanding human languages.

Details of the startup:

  • Country: Ireland
  • City: Dublin
  • Started in: 2010
  • Founders: Parsa Ghaffari
  • Number of employees: 11-50
  • Funding amount: $9,333,895
  • Number of funding rounds: 7
  • Number of investors: 6

You can find their website here.

10) Take Blip

Take Blip’s mission is to create, run, and evolve chatbots.

Details of the startup:

  • Country: Brazil
  • City: Sao Paulo
  • Started in: 1999
  • Founders: Daniel R. Costa, Marcelo Oliveira, Roberto Oliveira, Sergio Passos
  • Number of employees: 501-1000
  • Funding amount: $100,000,000
  • Number of funding rounds: 1
  • Number of investors: 1

You can find their website here.

FAQs

Is Text Analytics Business Profitable?

Yes, text analytics can be a profitable business. Text analytics uses Natural Language Processing (NLP) to extract meaningful insights from large volumes of text data. This can be used to analyze customer feedback, uncover customer sentiment, and detect patterns in customer behavior. 

Companies can then use these insights to improve customer experience and make better business decisions. Additionally, text analytics can be used for a variety of other applications such as fraud detection, risk management, and predictive analytics. 

As such, businesses are increasingly looking to invest in text analytics solutions, creating a huge potential market for those who offer such services.

What Is The Average Investment In Text Analytics?

The average investment in text analytics startups is estimated to be around $2.5 million. However, the exact amount can vary greatly depending on the size and scope of the particular startup, as well as the amount of funding it has received.

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