Findoc Employee Directory

Q: Who are Findoc's key employees and leadership??

Findoc's key employees include: founder: xavier bernal , founder: xavier bernal , Business Development Specialist: gabriel lajeunesse , Business Developer: raphael patard . Looking for contact data? Unlock accurate emails and phone numbers for your ideal prospects with Tomba.

Q: What does Findoc do?

Explore Findoc's company overview page . for more information.

Q: What is the companies similar for Findoc?

The companies similar for Findoc, including Candidate Pool , NDP Software , Buoy Beer , Candidate Pool , Valley Scale Company , CBCCA , Tippecanoe Arts Federation , Arrive Architecture Group , Custom Aerosol Products .

GB - - England

Email Format Company overview

About Findoc

findoc is an appointment booking system for private healthcare. our vision is to make booking a private healthcare appointment as easy as booking a hotel online. are you a private he... Read more

Findoc Highlights:

Location	Employees
United Kingdom 🇬🇧	8
United States 🇺🇸	1
Canada 🇨🇦	1
France 🇫🇷	1

Findoc Leadership:

Employee	Department	Total Email Source
Xavier Bernal founder	Executive	1	Email
Xavier Bernal founder	Executive	0	Email
Gabriel Lajeunesse Business Development Specialist	Executive	0	Email
Raphael Patard Business Developer	Executive	0	Email

Contact profiles Findoc:

Employee	Department
Martin Cerny Software Developer	Software	Email
Romana Bekkai communications manager	Communication	Email
Sylvain Vuillen coo		Email
Florent Aonon vp sales customer success	Sales	Email
Findoc Uk Online Medical Appointment Service	Software	Email
Martin Cerny software developer	Software	Email
Diane Koumondji-Possian Community Manager	Management	Email
Sylvain Vuillen chief operating officer		Email

Findoc Email Metrics

Findoc has 13 email addresses.

Findoc has 12 personal email addresses, .

Findoc has 1 generic email addresses.

Email Finder

The Email Finder can find an email address with a good level of certainty. It either returns one we have in our base, or predicts one by analyzing the domain data.