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Tisane

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Tisane offers AI-driven text analysis and sentiment analysis solutions, focusing on understanding and categorizing emotions and opinions in textual da...Read more

NLP And Text Analytics
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Market Share of Tisane

Current Customer(s)

4

Market Share (Est.)

0.08%

Ranking

#53

Top Competitors and Alternatives of Tisane

The top three of Tisane’s competitors in the NLP And Text Analytics category are Hugging Face with 33.78%, GitHub Copilot with 8.71%, Dragon NaturallySpeaking with 6.53% market share.

TechnologyDomainsMarket Share (Est.)Versus page
Hugging Face173433.78%Tisane vs Hugging Face
GitHub Copilot4478.71%Tisane vs GitHub Copilot
Dragon NaturallySpeaking3356.53%Tisane vs Dragon NaturallySpeaking
IBM Watson Assistant3196.21%Tisane vs IBM Watson Assistant
Azure Translator3065.96%Tisane vs Azure Translator
Microsoft Azure Speech to Text2955.75%Tisane vs Microsoft Azure Speech to Text
Azure Language Understanding1993.88%Tisane vs Azure Language Understanding
Google Cloud Speech-to-Text1913.72%Tisane vs Google Cloud Speech-to-Text
Wit.ai1312.55%Tisane vs Wit.ai
Azure QnA Maker1192.32%Tisane vs Azure QnA Maker
Cohere751.46%Tisane vs Cohere
Google Cloud Text-to-Speech731.42%Tisane vs Google Cloud Text-to-Speech
Sinequa701.36%Tisane vs Sinequa
AllegroGraph701.36%Tisane vs AllegroGraph
Google Cloud Natural Language API601.17%Tisane vs Google Cloud Natural Language API
SoundHound500.97%Tisane vs SoundHound
Expert.ai440.86%Tisane vs Expert.ai
IBM Watson Content Analytics390.76%Tisane vs IBM Watson Content Analytics
Oracle InQuira360.70%Tisane vs Oracle InQuira
Apache cTAKES300.58%Tisane vs Apache cTAKES
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Popular Comparisons

Top Competitors and Alternatives of Tisane

The top three of Tisane’s competitors in the NLP And Text Analytics category are Hugging Face with 33.78%, GitHub Copilot with 8.71%, Dragon NaturallySpeaking with 6.53% market share.

Tisane vs Hugging Face

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Tisane vs GitHub Copilot

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Tisane vs Dragon NaturallySpeaking

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Tisane vs IBM Watson Assistant

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Tisane vs Azure Translator

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Tisane vs Microsoft Azure Speech to Text

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Tisane vs Azure Language Understanding

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Tisane vs Google Cloud Speech-to-Text

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Customers of Tisane

Around the world in 2025, over 4 companies have started using Tisane as NLP And Text Analytics tool.

CustomersEmployee RangeCityRegionCountrySocial Links
Mytha Hotel Antology1,000 - 4,999RomeLatiumItaly
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Tisane Labs20 - 49SingaporeCentral SingaporeSingapore
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San Demetrio10 - 19SpecchiaApuliaItaly
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Cpl5,000 - 9,999DublinLeinsterIreland
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Tisane Customers by Products and Services

The top three products and services offering customers that use Tisane for NLP And Text Analytics are Fine Dining Restaurants (1), Semitic Languages (1), Recreational Activities (1).

Customers

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Tisane Customers by Employee Size

The majority of Tisane's customers for the nlp-and-text-analytics category fall in the company size of 20 - 49 employees (1 companies), 5,000 - 9,999 employees (1 companies), 10 - 19 employees (1 companies).

Employee Size

Tisane Customers by Geography

The top three geographies of Tisane for nlp-and-text-analytics are the Italy with 2(50.00%), Ireland with 1(25.00%), Singapore with 1(25.00%) customers respectively.

Customers

Employees of Tisane

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Also see other Products/Services by Tisane in:

NLP And Text Analytics

FAQ

Find answers to the most often asked questions by users.

Who are the top Tisane competitors?

Tisane’s Top competitors in the nlp-and-text-analytics category are Hugging Face, GitHub Copilot, Dragon NaturallySpeaking. You can view a full list of Tisane competitors here. 6sense uses advanced data mining and AI algorithms to track customers and competitors of Tisane and 40,000 other technologies on the internet. You can also compare Tisane and its feature with top competitors here : Tisane vs Hugging Face Tisane vs GitHub Copilot Tisane vs Dragon NaturallySpeaking.

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What is Tisane customer distribution based on company size?

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What is Tisane market share in the nlp-and-text-analytics?

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What are the top countries that use Tisane?

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What are the top industries that use Tisane?

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