Long before The Filter existed it was an idea...
a decade ago Peter Gabriel, the musician and digital pioneer,
imagined a future of infinite choice. He predicted a world in which
people would access any entertainment, anywhere at any time. Rather
than being enriched in a world of infinite choice we would become
overwhelmed. "When many of us are drowning in choice," he said, "we
are going to need smart filters..."
Indeed, as the web grew bigger and faster, volumes of content
increased exponentially. And, sure enough, the challenges of
navigation and discovery soon became an obstacle to enjoyment.In
2006, Peter was introduced to the physicist and software
entrepreneur, Martin Hopkins. This was a man, who shared Peter's
vision, and along with co-founder Rhett Ryder, Exabre had already
developed a solution. As a passionate music fan, Martin had
designed a piece of software to manage his music collection. The
programme learned about his tastes and, using artificial
intelligence and our taste profile technology, we could offer
personalised playlists and recommendations.
Peter and Exabre joined forces with the
venture capital specialist, Eden Ventures and Exabre launched The
Filter. Successful trials of an initial playlist desktop
application and a recommendations website quickly showed how
effective and reliable the technology was, even with large volumes
and different formats. New user interface tools and applications
were launched and vast amounts of consumption and catalogue data
were gathered and crunched. The Filter began to attract attention
from industry commentators and, crucially, interest from commercial
The Filter uses its world-leading recommendations and relevance
systems to help content owners, publishers and aggregators around
the world maximise their content and services. The Filter is proven
to increase usage and engagement which in turn improves margins...
making entertainment services more efficient and competitive. With
video, music, applications and games, The Filter consistently
out-performs editorial and automated recommendations and crucially,
outputs can be skewed or biased to meet specific business
One day, all entertainment will be optimised this way. Until
then, The Filter is unique.