
Inoopa uses artificial intelligence to achieve its high level of quality. Especially useful to address the market of the SME’s, Inoopa analyses +1 million data sources to detect companies’ activities and other actionable insights.
Inoopa guarantees the highest level of accuracy on companies’ activity with a SLA of 93%, providing high quality of derived data such as Look-alikes, Activities Keywords.
Thanks to its technology powered by artificial intelligence, Inoopa is able to propose unique data like Webshops, companies running business in Circular Economy, etc
All contact information such as phone numbers, emails and addresses provided by Inoopa are GDPR compliant and can be used without concern to fill the blanks in your CRM / ERP.
NACE correction, look-alikes, keywords activities, circular economy tag, web shop tag will help you better anticipate risks, increase return on investments in marketing campaigns, and to finally identify companies segments that are not efficiently classified by current NACE codes.

Key insights
The NACE classification is one of the major causes of dissatisfaction among Crossroads Bank for Enterprises users*
The objective of this first step is to understand your problematic and the objectives you are looking for in order to see how we can best help you achieve them.
We explain our solution and financial conditions. Depending on the number of companies and choosen options, Inoopa charges a monthly fee, including the updates. No setup, no extra charge : it’s clear and transparent.

Whether for statistical studies, prospecting or loyalty goals, prestigious clients from the media, the academic or the business world trust Inoopa’s data.
If you don’t move forward, you move backward. This is the motto of our researchers’ team who doesn’t rest on their laurels.