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Inoopa
Public profile- Ixelles, Belgium
- 11-50 collaborators
- IT Consulting
- and 2 others
- Ixelles, Belgium
- 11-50 collaborators
- IT Consulting
- and 2 others
Overview Inoopa
https://www.inoopa.comRecruitment status:Company to discover — The information displayed comes from public data and may include approximations. The company may not currently be hiring, but you can apply proactively to share your profile.
- IT Consulting
- Marketing and advertising
- Software company
- Liège and +1 other locations
- 11-50 collaborators
About us
What we do: Inoopa specializes in business intelligence and data analysis, leveraging artificial intelligence technologies such as natural language processing and big data analytics. The company provides AI-powered lead generation, data enrichment, and market intelligence services aimed at helping B2B clients gain comprehensive insights into their competitive landscape and make informed, data-driven decisions.
Where we are located: Inoopa is headquartered at Rue des Houblonnières 52, 4020 Liège, Belgium.
Short history: Founded in Belgium in 2018, Inoopa has grown from a small team into a dynamic company of nine professionals. Since its inception, the company has focused on harnessing AI to empower organizations with deeper understanding of their business ecosystems.
Organization & culture: Inoopa employs nine dedicated professionals and fosters a culture of creativity, collaboration, and continuous improvement. The company values integrity and inclusiveness, encouraging employees to think innovatively while working together towards shared goals. It promotes talent development and an inclusive environment where everyone can thrive.
Recent developments: Inoopa continues to expand its reach across Europe, maintaining a strong commitment to innovation and excellence. The company recently emphasized the importance of effective prompt input to maximize AI-driven B2B data output, reflecting its ongoing focus on cutting-edge AI applications.
Company roles mapping
This mapping combines roles declared by the company and roles identified by artificial intelligence from public data or past job offers. Some job titles are also standardised according to the European ESCO nomenclature (European Skills, Competences, Qualifications and Occupations) to ensure consistency with European skills frameworks. Learn more about AI transparency and ESCO →
- Software Architect
- Data Engineer Scientist
- Machine Learning Engineer
Employee distribution by work field
Estimate based on public data and company information. Learn more about AI transparency →
