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Text (company): History, Companies, Products & Art

Text (WSE: TXT), previously known as LiveChat Software, is a Polish software company specializing in customer service and artificial intelligence solutions. Based in Wrocław, it offers a suite of tools for B2B and B2C communication, including popular platforms like LiveChat, ChatBot, and HelpDesk. The company is publicly listed on the Warsaw Stock Exchange.

Language: English [EN]
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Text (company) topic overview

The analysis highlights History, Companies, Products and Art as prominent areas in the source structure around Text (company).

Related topics
77
Source areas
5
Connected nodes
82
Extracted relationships
27
Concept neighborhoods
19
Bridge connections
82

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Products · 34 topics
Overview · 24 topics
Awards · 8 topics
History and Milestones · 6 topics
Corporate social responsibility · 5 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded
Wrocław, Poland 2002; 24 years ago (2002)
Industry
Artificial intelligence, Software
Headquarters
Wrocław, Poland
Area served
Worldwide
ISIN
PLLVTSF00010
Key people
Mariusz Cieply (CEO) · Urszula Jarzebowska (CFO) · Szymon Klimczak (CMO) · Bartosz Olchowka (CTO) · Piotr Bednarek (CCO)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History and Milestones

Products

Awards

Corporate social responsibility

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Text (company) connects Entity context

The extracted context around Text (company) shows recurring relationship patterns in the source. For example, Text (company) → Bartosz Olchowka (CTO), Maciej Malesa (CIO), Mariusz Cieply (CEO), Piotr Bednarek (CCO), Szymon Klimczak (CMO), Urszula Jarzebowska (CFO) Another extracted example is Text (company) → Chatbot platform, Help desk software, Knowledge-base system, Live support software, Website widgets. Use these groups to spot repeated connection types before inspecting the individual relationships.

Text (company)

Top relations

Key people · 6
Text (company) → Bartosz Olchowka (CTO), Maciej Malesa (CIO), Mariusz Cieply (CEO), Piotr Bednarek (CCO), Szymon Klimczak (CMO), Urszula Jarzebowska (CFO)
Services · 5
Text (company) → Chatbot platform, Help desk software, Knowledge-base system, Live support software, Website widgets
Net income · 2
Text (company) → 100 million zł (2021), 119 million zł (2022)
Revenue · 2
Text (company) → 179 million zł (2021), 223 million zł (2022)
Area served · 1
Text (company) → Worldwide
Founded · 1
Text (company) → Wrocław, Poland 2002; 24 years ago (2002)
Headquarters · 1
Text (company) → Wrocław, Poland
Industry · 1
Text (company) → Artificial intelligence, Software
ISIN · 1
Text (company) → PLLVTSF00010
Number of employees · 1
Text (company) → 268

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

livechat company software chatbot text customer listed website artificial intelligence chat companies product stock including wrocław support facebook helpdesk capital

Text (company) relationships Subject–Predicate–Object triples

TTTA extracted 27 structured relationships around Text (company). Examples in this analysis include Text (company) → Area served → Worldwide and Text (company) → Founded → Wrocław, Poland 2002; 24 years ago (2002). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Text (company)Area servedWorldwide1.00infobox
Text (company)FoundedWrocław, Poland 2002; 24 years ago (2002)1.00infobox
Text (company)HeadquartersWrocław, Poland1.00infobox
Text (company)IndustryArtificial intelligence, Software1.00infobox
Text (company)ISINPLLVTSF000101.00infobox
Text (company)Key peopleMariusz Cieply (CEO)1.00infobox
Text (company)Key peopleUrszula Jarzebowska (CFO)1.00infobox
Text (company)Key peopleSzymon Klimczak (CMO)1.00infobox
Text (company)Key peopleBartosz Olchowka (CTO)1.00infobox
Text (company)Key peoplePiotr Bednarek (CCO)1.00infobox
Text (company)Key peopleMaciej Malesa (CIO)1.00infobox
Text (company)Net income119 million zł (2022)1.00infobox
Text (company)Net income100 million zł (2021)1.00infobox
Text (company)Number of employees2681.00infobox
Text (company)Number of locations2 offices (2024)1.00infobox
Text (company)ProductsChatBot, HelpDesk, Knowledge Base, LiveChat, OpenWidget1.00infobox
Text (company)Revenue223 million zł (2022)1.00infobox
Text (company)Revenue179 million zł (2021)1.00infobox
Text (company)ServicesChatbot platform1.00infobox
Text (company)ServicesHelp desk software1.00infobox
Text (company)ServicesKnowledge-base system1.00infobox
Text (company)ServicesLive support software1.00infobox
Text (company)ServicesWebsite widgets1.00infobox
Text (company)SubsidiariesText, Inc.1.00infobox
Text (company)Traded asWSE: TXT WIG30 Component1.00infobox
Text (company)TypePublic1.00infobox
Text (company)Websitetext.com1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Text (company) bring nearby vocabulary together. In this analysis, examples include Capital, Website and Listed. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Text (company)
    • Capital
    • Website
    • Listed
    • Text
    • Software
    • Livechat
    • Wrocław
    • Stock
    • Polish
    • Solutions
    • Artificial
    • Intelligence
  • text (company)
    • Capital
    • Website
    • Listed
    • Text
    • Software
    • Livechat
    • Wrocław
    • Stock
    • Polish
    • Solutions
    • Artificial
    • Intelligence
  • artificial intelligence
    • Intelligence
    • Text
    • Solutions
    • Software
    • Service
    • Website
    • Livechat
    • Base
    • Company
    • Customer
    • Founded
    • Helpdesk
  • livechat
    • Software
    • Text
    • Company
    • Awards
    • Polish
    • Solutions
    • Artificial
    • Intelligence
    • One
    • Platform
    • Support
    • Chatbot
  • live support software
    • Text
    • Polish
    • Artificial
    • Intelligence
    • Company
    • Awards
    • Solutions
    • Website
    • Support
    • Chat
    • Chatbot
    • Products
  • help desk software
    • Text
    • Polish
    • Artificial
    • Intelligence
    • Platform
    • Company
    • Support
    • Awards
    • Solutions
    • Website
    • Chat
    • Helpdesk
  • european small and mid-cap awards
    • Support
    • Software
    • Livechat
    • Base
    • Founded
    • Helpdesk
    • Offices
    • Poland
    • Products
    • Exchange
    • Polish
    • Services
  • awards
    • Support
    • Software
    • Livechat
    • Base
    • Founded
    • Helpdesk
    • Offices
    • Poland
    • Products
    • Exchange
    • Polish
    • Services

Connections between topic areas Semantic bridges

For Text (company), one of the stronger structural bridges in this analysis connects Text (company) with Products. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Text (company) — Products · splits 48 ⟂ 35
Text (company) — Overview · splits 58 ⟂ 25
Text (company) — Awards · splits 74 ⟂ 9
Text (company) — History and Milestones · splits 76 ⟂ 7
Text (company) — Corporate social responsibility · splits 77 ⟂ 6

Map overview Semantic statistics

Text (company)

Nodes83
Edges82
Triples27
Avg. degree1.98
Density0.024096
Components1

Source & methodology

TTTA analyzes the structure around Text (company) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies, Products & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Text (company) · EN edition · Analysis: TopicsToTalkAbout

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