Valossa and Accurate Player Announce Partnership to Offer Rich Metadata Solutions for Media Industry

Companies to Deliver Broadcasters Enhanced Quality Control Workflow Capabilities Through Integration of Valossa’s AI Technology and Accurate Player’s Frame Accurate HTML5 QC Player

Oulu, Finland and Umeå, Sweden, January 3, 2018 Valossa™, a leader in AI-based video recognition technology, and Accurate Player™, a frame-accurate HTML5 QC/QA player for post-production workflows, today announced a sales and technology partnership. Valossa will integrate its video AI technology into the Accurate Player, enabling the player to natively visualize Valossa’s rich metadata extraction.

The combined solution of Accurate Player and Valossa will enable companies to automate inappropriate content recognition down to a frame-accurate level. The offering will also enable search and retrieval of archival footage for repurposing. This will save time and resources for media companies while helping them manage their workflows at scale. The two Nordic companies will conduct joint sales and marketing efforts to scale their global expansion, mainly targeting media and entertainment firms.

“I am delighted to announce our partnership with Accurate Player. The integration of Valossa’s core expertise in Video AI and Accurate Player’s strength in UX-focused metadata visualization from Media Asset Management systems will provide a powerful bundled solution for the media industry,” said Mika Rautiainen, founder and CEO of Valossa. “We see customers with increasing needs for video search and sophisticated explicit content recognition, and with Accurate Player’s best-in-class workflow solutions, we can deliver a comprehensive quality compliance product for the broadcast industry.”

Flexibility and customizability are two traits that Valossa & Accurate Player share. Both offerings can be deployed on-premise or in the cloud and can also be tailored to meet specific customer requirements,” noted Jonas Sandberg, CEO of Accurate Player.  “Content compliance regulations are very market specific. For example, the FCC sets the policy in the US while the AVMSD calls the shots in Europe. On the other hand, workflows are organization specific. Our ability to cater to the individual customer and market needs makes our solution stand out from the others. The partnership with our friendly Finnish neighbor is a good indication of how our respective expertise can combine to benefit broadcasters.”

The partnership has already kicked off with joint demos for existing customers of Accurate Player. Accurate Player & Valossa have also submitted joint bids for an International RFI. Both companies are confident of signing customers in 2018 from this alliance. Valossa will be showcasing the offering during CES 2018 in Las Vegas next week. To book a demo please visit


About Valossa

Valossa, the deep content company is a leading provider of advanced products for AI-based visual content search and recognition. Founded in 2015, the Valossa technology represents years of prime research and essential patents from the University of Oulu in northern Finland. Valossa is headquartered in Oulu, Finland, and has representation in New York. For more information, please visit the web site at


About Accurate Player

Accurate Player is a Frame Accurate HTML5 player purpose-built for QC and post-production workflows. The company is a spin-off from Codemill, an IT firm specializing in video tech and custom development for the Media and Broadcast industry. The company was founded in 2016 and is headquartered in Umeå, Sweden with users in North America, Europe and Asia. For more information please visit

Media & Business Enquiries

Valossa                                                                     Accurate Player

Sami Niska                                                              Henrik Lundgren

Chief Sales Officer                                                  Chief Sales Officer

+358 50 487 6582                                                 +46 705 313 400                            


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