🚀 AI-Powered B2B Intelligence

AI-based B2B Lead Generation & Studies

We provide quality B2B data about Benelux.

5M+Companies
50M+Decision makers
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Artificial Intelligence and B2B Data

Thanks to our search engine based on artificial intelligence and semantic analysis, Inoopa collects and generates unique B2B data. Our technology has 3 main applications : Lead Generation, Sectorial Studies and NACE code corrections. Inoopa covers all companies and self-employed of each country where it operates.

How to use our data ?

Quality data is key for every business.

  • CRM segmentation

    Group and segment your prospects. With our unique data, it is now possible for you to know your prospects better and to adapt your approach to their needs.

  • Future proofness of companies

    To help you in your prospecting, we propose cutting-edges AI tools like semantic search, decision makers intelligent classification, short companies' activities description, and more to come!

  • Macro-economic studies

    We have grouped our B2B data by industry. This allows us to present you with trends specific to your industry.

  • Name matching and database cleaning

    Make sure you have relevant and up-to-date information to best tailor your prospecting. An up-to-date database gives you the possibility to personalize your approach for a more efficient prospecting.

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Data Reports

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Get the latest studies about company trends and figures.

  • Why A Good Prompt Input Drives a Good B2B Data Output

    Why A Good Prompt Input Drives a Good B2B Data Output

    Inoopa reveals how precision in prompt engineering enhances B2B data quality. By refining prompts through iteration, we deliver accurate, efficient results that drive better outcomes. See it in action today!

  •  Customize and Achieve Success

    Customize and Achieve Success

    Personalization involves adapting a product, service, or experience to meet the specific expectations of an individual. This is obviously very different from a standardized proposition based on customer segments.** In a commercial context, personalization means going well beyond traditional segmentation and offering a tailor-made experience that naturally aligns with the customer's preferences.**

  • Launch of The Netherlands & Geospatial Lead Generation for Solar Panels and EV solutions

    Launch of The Netherlands & Geospatial Lead Generation for Solar Panels and EV solutions

    As 2024 Came to a Close, a Look Ahead to a Bright 2025 We, at Inoopa, want to extend a thank-you to our clients, partners, and employees who made 2024 a transformative year. Together, we expanded boundaries, redefined innovation, and built a stronger foundation for future growth.

  • Inoopa expands to The Netherlands!

    Inoopa expands to The Netherlands!

    Inoopa expands to the Netherlands, offering innovative solutions for B2B prospecting and sector analysis without relying on Chamber of Commerce (KvK) codes. With advanced technology and high-quality, verified data, businesses gain access to targeted leads and decision-makers' contact details. Inoopa’s comprehensive coverage in the Benelux effectively supports Dutch companies in lead generation and market analysis.

  • Discover Inoopa's Revolutionary Lead Generation Tool: Prompt-Based Prospecting

    Discover Inoopa's Revolutionary Lead Generation Tool: Prompt-Based Prospecting

    Inoopa has launched a prompt-based lead generation tool for B2B prospecting that identifies companies in emerging sectors without relying on NACE codes. It delivers detailed business listings, including verified contact information for key decision-makers, ensuring high-quality data and minimizing communication errors.

  • Why you should turn your data into visual insights

    Why you should turn your data into visual insights

    Data visualization is crucial in today's data-driven world, transforming vast amounts of information into actionable insights. By graphically representing data, it democratizes access to complex information and accelerates decision-making. However, effective data visualization requires careful selection of visualization types, understanding of data sources and objectives, and mastery of design principles and tools.