As soon as your content gets published, it is exposed to tremendous misuses. Misuses that inevitably end up, hijacking part of your audience
and part of your revenue.
The Idea Behind Blasty
“If it only takes one click to illegally copy a creator's content,
it should also take one click to remove that illegal copy.”
This very idea led us to create a unique tool, which takes all the complexity out of the DMCA copyright infringement removal process and boils it down to one single click.
The web is still the web. Only so much better for creators!
Olivier has spent seven years working in advertising. In 2005 he cofounded
a leading advertising agency acquired by Publicis Groupe in 2011. Olivier played
a major role in the agency’s strategy and business development. He supervised the conception of highly innovative digital campaigns for an array of global brands including L'Oréal, Danone, Lindt and Reckitt Benckiser. Many times throughout his career, he has seen creators as well as brands struggle to enforce their intellectual property rights.
Olivier is a night owl and a sport addict with a slight preference for adrenaline-inducing activities.
Wilfried started programming at the age of 10. He is the author of several Macintosh software releases, notably MacReporter, which helped ignite the internet news revolution. He is a genuine Apple maniac. He joined Yala Music in 2010 and acquired there a solid experience in developing complex digital rights management solutions for one of the biggest music catalogs of the Middle Eastern market.
When away from computers, Wilfried can be spotted headbanging at extreme heavy metal shows.
After studying math and economy in prestigious French schools, Matthieu found a way to combine it with his passion for programming by becoming a data scientist. He worked as a consultant for multiple CAC 40 companies including Air France and Banque de France. He joined Blasty to help content creators use data to their advantage.
Matthieu likes to sail in beautiful islands and to tweak the parameters of neural networks. Usually not at the same time.