2. vadis technologies at a glance
2
RegTech, funded by Intys Partners since 2018, with an
extensive experience in data analytics & risk monitoring
We transform public and private data to help our clients gain
insights on their third parties for KYV / KYC / AML purposes
3. our partners and communities
3
We work for the European Commission since 2014
We are a partner of Bureau Van Dijk Moody’s Analytics
Know Your Vendor
Company Track
4. what we offer
4
flåir, our DAaaS solution,
your 360° third-party monitoring platform
predictive modelling as a service
vpi, our predictive indicators
data enrichment, data relationships
our solution to give more value to your data
flåir
5. data matching, data relationships
direct visualization of ownership and relationship links
300 millions companies
200 millions people
120 millions legal links
523 millions private links
6. predictive modelling as a service
6
Predict the probability that a phenomenon will
occur in the future through mining of the past
7. vadis predictive indicators
7
VPI P2B sold
Measures the propensity for a company to be
sold within the next 18 months.
Number of companies worldwide with a P2B
score : 1,5 millions
VPI P2B Bankrupt
Measures the propensity for a company to be
bankrupt within the next 18 months.
Number of companies worldwide with a
bankruptcy score : 15 millions
8. 8
flåir : the DAaaS solution
8
Entry Output
Predictive Analysis
Data Pairing & Matching
People / Companies,
affinities, unique ID
Enrichment,
Historization
Indicators Calculation
Public / Private Data
Customer’s Data
Web Interface
Optimized User Experience
Visualization, Dashboard
Group Exploration Tool
Links between persons & companies
Risks & Alerts
9. flåir : the answers we give on your third parties
Which suppliers present the highest threat
to your company’s reputation ?
Are there potential conflicts of interest
between persons & companies ?
Are my suppliers compliant with my
requirements ?
Which prospect will have the highest
economic growth in the next 2 years ?
How can I track fraud and
monitor AML cases ?
Can I predict the financial risk linked to various
stakeholders ?
10. thanks for your attention !
jean-francois.heering@vadis.com
+32 498 595 340