Comprehensive B2B data solutions powered by advanced AI and semantic analysis
The ChatGPT of B2B Data - a revolutionary conversational interface that makes finding and verifying business data as simple as asking a question.
Built for your industry
Every industry prices, prospects and segments differently. We've built dedicated playbooks for each.
Consumption-sized prospecting for power, gas & on-site solutions across BE + NL.
Learn more →Real-activity detection to price the risk on your book, not the NACE code.
Learn more →Re-qualify every record from first principles. VAT matched, contacts refreshed, 24/7.
Learn more →Carrier-aware lists with your own customers filtered out. Built for SME outbound.
Learn more →Map your sector by concept, not by code. Full value-chain, contact-enriched.
Learn more →Book a demo and discover how Inoopa can help you find better leads, clean your data, and gain market insights.
Have a question or want to learn more about Inoopa? Send us a message and we'll get back to you shortly.
We'd love to hear from you. Reach out through the form or any of the channels below.
Get the latest studies about company trends and figures.
At Inoopa, we’ve discovered that the secret to leveraging the full potential of cutting-edge AI tools doesn’t lie just in access to the technology—it’s all about asking the right questions. As simple as this might sound, it’s a process that can make or break your outcomes.
Most B2B teams waste ad budget because they don't understand how professional email data performs on different platforms. LinkedIn Ads achieves 40-70% match rates with B2B contacts, while Google Ads struggles at 10-25%. This isn't about data quality—it's about platform architecture. LinkedIn identifies users as professionals; Google identifies them as consumers. This guide shows you how to use Inoopa data strategically across both platforms, with honest match rates, real costs, and a combined targeting strategy that maximizes ROI.
Discover how to use Inoopa, an AI-powered B2B lead generation tool, to find and export 50+ qualified prospects in just 10 minutes. This step-by-step guide shows you how to run natural language searches, leverage semantic AI for precision targeting, access real-time verified contact data, and integrate leads directly into your CRM. Designed for B2B sales, marketing, recruiting, and business development teams, Inoopa helps you replace outdated databases with accurate, actionable prospecting intelligence that accelerates pipeline growth and improves lead quality.
Is Inoopa the right fit for your business? This honest guide explains when our AI-powered semantic prospecting platform delivers real value — and when it doesn’t. If you target Belgium or the Netherlands, prioritize accurate B2B data, and need precise company classification beyond traditional firmographics, Inoopa can significantly improve your prospecting performance. However, if you require global coverage, B2C data, mass email lists, or a full sales engagement suite, other solutions may be better suited. Use this framework to quickly determine whether Inoopa aligns with your growth strategy.
In today’s B2B landscape, decision makers receive hundreds of sales emails every week, making personalization no longer a competitive advantage but a requirement. Yet, delivering truly relevant outreach at scale remains a major challenge for sales teams. This article explores how Inoopa’s semantic AI transforms outbound prospecting by combining highly accurate company data, precise decision-maker identification, and AI-powered personalized email generation. Through real-world examples in English, Dutch, and French, it demonstrates how contextual and multilingual outreach significantly improves open and response rates. By replacing generic, template-based campaigns with messages tailored to each prospect’s role, industry, and cultural context, Inoopa enables sales teams to save time, increase engagement, and generate more qualified conversations. The future of B2B outbound is not about volume—it’s about relevance, and AI is the engine behind it.
Official NACE codes no longer reflect today’s economic reality, leaving regions blind to emerging sectors and hidden capabilities. This article explains how semantic AI enables accurate sector classification, value-chain mapping, gap detection, and ecosystem activation—turning raw company data into actionable regional strategy. Discover how regions can move beyond outdated classifications to design evidence-based cluster policies and targeted investment strategies.
