We've been in the data business longer than most data companies have existed.
Founded in Brussels in 1995. Rebuilt for the AI era. InfobelPRO is where 30 years of data expertise meets a new generation of ambition.
Our story
InfobelPRO started in 1995 as one of the first companies in the world to publish a telephone directory online. At a time when most businesses were still printing contact information on paper, a small team in Brussels was already betting on the idea that structured data, delivered digitally, would become essential infrastructure.
That bet paid off. Over three decades, what began as a digital phone book evolved into one of the largest verified business databases on the planet — covering 380 million companies across 200+ markets, sourced from over 1,100 official registries and authoritative sources worldwide.
Along the way, InfobelPRO earned the trust of companies that depend on data accuracy at scale: Google, Apple, TomTom, Salesforce, the World Bank, the London Stock Exchange. These aren't casual partnerships. When your mapping platform, your compliance system, or your financial infrastructure depends on knowing whether a business is real, you need data you can defend. That's what InfobelPRO provides.
In 2025, InfobelPRO entered a new chapter. Antoine Bruyns and Didier Baclin — two Belgian entrepreneurs who had previously built and sold Riaktr, a Brussels-based data company serving global telecom operators — acquired Infobel through their holding company, Datasharp. Their thesis was simple: the AI economy will be defined by data quality, and the companies that control verified, structured business data will become critical infrastructure.
Today, InfobelPRO sits within the Datasharp group alongside Techsalerator and Woosmap — a family of data and technology companies building the infrastructure layer for the AI-driven economy, with teams across Brussels, London, Paris, and Miami.
The foundation is 30 years deep. The roadmap is just getting started.
Leadership
The team behind the data.
Antoine Bruyns
Chief Executive Officer
Antoine spent a decade at the intersection of technology, finance, and data before founding Datasharp. He was previously Head of EMEA Deep Tech at J.P. Morgan, where he led technology investment banking across Europe. Before that, he co-founded Riaktr — a Brussels-based data analytics company that grew to serve six of the ten largest global telecom groups before being acquired in 2021. He started his career at Bain & Company. Antoine holds degrees from Solvay Brussels School and has worked across Brussels, London, San Francisco, and New York.
Didier Baclin
Chief Technology Officer
Didier brings deep technical expertise in data infrastructure and engineering. He co-founded Riaktr alongside Antoine, leading the technology side of the business through its growth and eventual acquisition. His experience spans building scalable data platforms, AI-driven data processing pipelines, and the kind of unglamorous-but-essential engineering that makes global data products work. At Datasharp, Didier oversees InfobelPRO's technology platform, data architecture, and product development.
Headquartered in Brussels with teams in London, Paris, and Miami.
Data compliance
We take data responsibility seriously.
Here's how we protect our clients and their customers.
GDPR Compliant
Fully compliant with the EU General Data Protection Regulation. Our data processing practices meet the highest European privacy standards.
Registry-Sourced Methodology
Our data is sourced from official trade registries and authoritative public sources — not scraped from the web, not harvested from personal profiles.
EU-Hosted Infrastructure
Our data infrastructure is hosted and processed within the European Union, under European regulation.
No Personal Data Scraping
We do not scrape, buy, or resell personal data. Our B2B datasets are built from verified business records and official filings.
What we believe
We are excited by what technology can do. AI, automation, the products being built today — all of it. But we've learned one thing the hard way: none of it works without quality data at the foundation.
You cannot make a decision on quicksand. You cannot build on guesswork.
We are industry veterans. We know that 80% of the work in any data project isn't the analysis or the model — it's the integration. The cleaning, the reconciliation, the edge cases, the maintenance. It's unglamorous, it's painful, and it's what blocks most teams from getting to the good part.
That's exactly why we exist.
We're building the data infrastructure for the AI economy.
If that sounds like your kind of problem, we'd like to hear from you.