We have many years of experience building complete video platforms for major leagues in Scandinavia.
Forzasys stands for expertise in innovative, efficient and flexible video systems as well as for digital sports analytics.
With a cutting edge skill-set in the fields of Video Streaming Technology, Distributed
Systems, Networks and Machine Learning, Forzasys can
provide the solutions of tomorrow's video streaming and analysis. We also have experience
from research and development projects in related areas. Read more and contact us if you are interested!
Offers
OUR MAIN PRODUCTS
Forzify
Aiming to be a one-system-to-rule-them-all, Forzify is a live and on-demand video management system
supporting OTT streaming, search, sharing, recommendations, event
creation, video playlists, etc. It is a cross-platform solution with
backend servers running either in the cloud
or on in-house machines. It supports the entire video pipeline from content recording to dissemination to users.
pmSys is a performance monitoring system for athletes. The system monitors
athletes' training load, general wellness and
injuries through subjective questionnaires submitted through an app on the
mobile phone. Data is visualized to the coaches and medical team throuigh a trainer portal, with some basic predictions, support for message reminders, etc.
We are proud to have a team of dedicated people working hard to make our partners and customers happy. Members of our team have strong research backgrounds as well as years of experience developing and operating critical production systems. We think it's an optimal mixture for building and operating cutting-edge systems.
"We are using Forzify in the Connected League system in Norway as an
effective, low-latency integrated metadata and video solution for real time
publishing. The events occur both in linear TV publishing and as streaming clips and
replays with synced metadata faster than in any other solution we have seen. Forzify
is generating statistics with associated event video in an efficient and rapid
workflow. During our cooperation, Forzasys has continuously improved their metadata
production and streaming solutions receiving data from multiple sources and delivering
data to multiple other systems. The WEB-based user interface and control panels makes
the platform flexible and efficient to setup and operate."
Thomas Torjusen
Head of Media, Norwegian Top Football
"I have used Forzasys technology both for elite club
teams and the Norwegian national team. The pmSys player monitoring
system gives a nice overview of the team's and the individual players’
progress and current state, and the Forzasys live cam (Bagadus) gives
immediate tagging and video annotations for live visual feedback. Both
systems play an important role in our daily operations."
Per-Mathias Høgmo
Head coach for BK Häcken, Sweden (former Sports director, Fredrikstad Football Club; head coach Norway National Soccer Men’s Team; etc.)
"We are using Forzify as one of our key components in our Sport
Media Centre. Forzasys has shown great insight in data processing and the sport of
football. The tagging with low-latency integrated metadata and a video solution for fan
engagement in our apps is great. Forzasys has great flexibility and strive hard to
deliver under tight deadlines with complex requirements. The WEB-based user interface
and control panels is great and makes Forzify Tagging PLUSS a great tool for us; easy
to mount and operate for live events."
Jon Ola Bergaplass
Chief Technology Architect, Swedish Professional Football Leagues
"We have
used the video and monitoring apps developed by Forzasys since 2014. Our use includes
youth academies, elite clubs, and various national teams. Their systems have been stable and easy to use, which has helped us complete various research projects. Forzasys has efficient
changed and tailored their services to our needs".
Svein-Arne Pettersen
Research Director and Professor, Future Female Fotball Centre, Norway
INTERESTING READS
Our Research & Development
We actively contributing to research on video streaming, machine learning and sports analytics.