textelligence | Intelligentes Text Mining

What textelligence | Intelligentes Text Mining does

textelligence GmbH is an Aachen, Germany-based intelligent text mining firm that was spun off in 2022 from the Chair for Manufacturing Metrology and Quality Management at RWTH Aachen University's WZL (Werkzeugmaschinenlabor), Germany's largest production science institute. The company combines Natural Language Processing (NLP) and artificial intelligence with human-in-the-loop expertise to solve three named data problems for technical enterprises: data overload (Datenflut), data scarcity (Datenmangel), and poor data quality (schlechte Daten). Its service portfolio is built around a modular workflow covering search automation, web scraping, data cleansing, data integration, topic detection, text classification, and sentiment analysis, with the option to convert successful consulting engagements into customized permanent software solutions for the client.

The company's productized offering is Intelligent Text Mining, delivered primarily through project-based professional services engagements rather than a self-serve SaaS platform. Customers are mid-to-large German-speaking enterprises, including Miele, Vaillant, Honda R&D Europe, Heim&Haus, and TUEG Schillings, with use cases spanning employee survey analysis, online customer feedback mining, technical documentation processing, and automated risk assessment generation. textelligence monetizes through custom consulting projects and follow-on software implementations, pursued via a consultative sales motion targeting project managers and department heads (Projectleiter/Abteilungsleiter). Strategically, the company is anchored by long-standing research partnerships with RWTH Aachen WZL and the German Research Center for Artificial Intelligence (DFKI), which supply methodological and talent pipelines.

The firm is privately held, employs approximately 9 people, and operates exclusively within Germany. Its managing director is Dr.-Ing. Jan Kukulies. No external funding rounds, acquisitions, patents, or revenue figures are publicly disclosed. Distribution is currently direct enterprise sales, supported by a basic content marketing footprint on LinkedIn, YouTube, and the company website.

Name

textelligence | Intelligentes Text Mining

Legal name

textelligence GmbH

Website

https://textelligence.de

Company type

Private

Founded year

2022

Operating status

Operating

Headcount range

1–10 employees

Short description

textelligence is an Aachen-based AI consultancy spun off from RWTH Aachen in 2022 that delivers intelligent text mining services (NLP, topic detection, sentiment analysis, generative AI) to German technical enterprises, including Miele, Vaillant, and Honda R&D Europe.

Ownership category

akta.pro rank

Product category

Text Analytics & NLP Consulting

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Web Search Portals, Libraries, Archives, and Other Information Services (5192)

SIC

Services-Computer Processing & Data Preparation (7374), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Text Analytics & Information Extraction (NER, classification, sentiment) (HDAAADAA)

akta.pro secondary industries

Generative AI & LLM Solutions Services (RAG, Agents, Copilots) (BPAEAHAG), Data Analytics & Business Intelligence Services (BPAHALAC), Data Cleansing, Standardization & De-duplication (BPAAAKAE), Enterprise Search, Indexing & Content Discovery (HDAEAGAH)

Keywords

• Intelligent text mining
• Natural language processing
• Text data analytics
• AI consulting services
• Customer feedback analysis

Headquarters

HQ city

Aachen

HQ country

Germany

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

1. Professional Services - Text Mining Projects: Project-based consulting engagements involving data acquisition, processing, and analysis using intelligent text mining. Includes initial consultation, solution development, and results presentation.
2. Custom Software Solutions: Customized software solutions that make intelligent text mining benefits permanently usable and build AI competencies within the customer's organization.

Go-to-market motion2 records

Distribution channels1 record

Marketing channels3 records

Core offering

textelligence provides intelligent text mining services that combine Natural Language Processing (NLP), artificial intelligence, and human expertise to extract insights from large volumes of text data. The company offers end-to-end text analytics workflows including search automation, web scraping, data cleansing, data integration, topic detection, text classification, and sentiment analysis. It also develops customized software solutions that make text mining capabilities permanently available within client organizations.

Product overview

textelligence offers intelligent Text Mining as a unified service combining consulting and technology. The core offering is Intelligentes Text Mining, which includes a modular service workflow: Listen (understand the problem), Translate (reframe the challenge into data acquisition/analysis questions), Search Automation (automated web searching), Web Scraping (data extraction), Data Cleansing (quality improvement), Data Integration (consolidation), Topic Detection (identify themes), Text Classification (categorization), and Sentiment Analysis (interpret attitudes). These modules can be combined flexibly. The company also provides Customized Software Solutions that transform successful consulting outcomes into permanent, scalable software products that clients can use long-term.

Differentiator

Problem solved

Functional benefit

Products and services

• Intelligentes Text Mining (Intelligent Text Mining) Core text mining consulting and technology service that combines technological expertise in Text Mining, Natural Language Processing, and AI with process expertise in technical companies. Addresses data flood, data scarcity, and data quality challenges through systematic data acquisition, cleansing, and intelligent text analysis. Targeted at project managers and department heads in technical companies.
• Customized Software Solution Tailored software solutions that make intelligent Text Mining capabilities permanently usable and build AI competencies within the customer's organization. Transforms consulting outcomes into scalable, long-term technological assets.

Quantifiable outcome

• Miele analyzed 4,571 employee survey responses from multiple countries
• +4 more outcomes

Named customers5 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature7 records

Partnerships

Two partnerships are on record, tiered core.

• Werkzeugmaschinenlabor WZL der RWTH Aachen UniversitycoreStrategic or Co-development Partnertextelligence is a spin-off (Ausgründung) from the Chair for Manufacturing Metrology and Quality Management at WZL of RWTH Aachen University, led by Prof. Dr.-Ing. Robert H. Schmitt. WZL is Germany's largest production science institute. Through research projects in Customer Intelligence, NLP and Text Mining methods were developed for social media analysis before expanding to broader intelligent text mining applications.
• Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)coreStrategic or Co-development PartnerDFKI is Germany's leading research institution in innovative software technologies, particularly in the Multilingual Language Technology Lab (MLT) for natural language processing. Close collaboration ensures textelligence's text mining algorithms remain at state-of-the-art.

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• NetBase Quid: NetBase Quid is an AI-powered consumer and market intelligence platform for social media, customer feedback, and survey text analysis. It directly competes with textelligence's customer feedback and online comments use cases (Vaillant, Honda) at a larger SaaS scale.
• AYLIEN: AYLIEN provides NLP APIs for text analysis, entity extraction, sentiment, and classification aimed at enterprise use cases. It is comparable to textelligence as a competitor offering NLP-driven text mining capabilities for unstructured data, though distributed as APIs rather than bespoke industrial projects.
• MonkeyLearn: MonkeyLearn is a no-code text analytics platform offering topic detection, sentiment analysis, and text classification via APIs and a workflow UI. It overlaps directly with textelligence's text classification, topic detection, and sentiment modules but delivers them as standardized SaaS rather than custom industrial consulting.
• Keatext: Keatext offers AI-based text analytics for customer and employee feedback, including sentiment and topic analysis. It is comparable to textelligence's employee survey and customer feedback offerings (Miele, Heim&Haus), especially for multilingual enterprise deployments.

Broad incumbents

• Google Cloud Natural Language API: Google Cloud NL provides entity extraction, sentiment, classification, and syntax analysis at hyperscaler scale. It is a broad incumbent alternative to textelligence's bespoke services, particularly relevant for European enterprises evaluating build-vs-buy NLP decisions.
• IBM Watson Natural Language Understanding: IBM Watson NLU offers enterprise NLP APIs for sentiment, emotion, entities, keywords, and classification. It is comparable to textelligence's core NLP capabilities but competes as a broad incumbent platform rather than a vertical specialist.
• SAP Conversational AI / SAP Analytics Cloud: SAP's analytics and AI portfolio addresses text mining across enterprise data, including free-text fields in SAP systems, which is directly cited as a textelligence use case (50,000 SAP free text fields). SAP is a broad incumbent alternative for enterprise text analytics buyers.

Regional players

• Celonis: Celonis is a Munich-based process mining and analytics leader that overlaps with textelligence's enterprise data processing and quality management focus. While its core product targets process rather than text, its German enterprise footprint and analytical positioning make it a comparable reference point for industrial NLP buyers.

Emerging players

• RapidMiner: RapidMiner is a data science platform with text mining, sentiment analysis, and topic modeling capabilities. It is comparable to textelligence as an alternative for enterprise teams that prefer a self-service platform over bespoke consulting engagements.
• Explorium: Explorium provides external data and AI-driven signal discovery for B2B use cases. While broader than pure text mining, it overlaps with textelligence's automated data acquisition, web scraping, and topic detection modules for enterprise market and customer intelligence.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• YouTubeyoutube.com/channel/UCtDFirKI9Ds6MRMWn3Buz-Q
• LinkedInlinkedin.com/company/textelligence

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about textelligence | Intelligentes Text Mining