Resonate MP4 consolidates technical competitiveness of Medianate software deployment in cloud environments by adding  specific developments to guarantee the highest level of interoperability with Grass Valley solution so that both solutions can cover a wider area of needs in data processing.

Specific algorithms have been implemented in Medianate software to balance and distribute processing loads in order to handle multi cores and multi CPU architectures: Medianate has been benchmarked on last Bull High Performance Computing (HPC) servers based on Intel Xeon clusters architectures.

Resonate MP4 cooperates with Telecom ParisTech by contributing to the GPAC open source projet, and also cooperates with Telecom SudParis by integrating one of its facial recognition algorithm as plugin of Medianate. 

Resonate MP4 cooperates with INA (Institut National de l'Audiovisuel) to build prototypes and proofs-of-concept for integrating cloud computing based video processing solutions in video on demand (VOD) services workflow.

Resonate MP4 cooperates with Tsinghua University in Beijing by integrating in Medianate specific video analysis algorithms of the VIPLab laboratory of Department Automation to compute and extract critical parameters from vehicles traffic flow. The scope of this research focuses on intelligent transport systems (ITS) by providing measurement tools of urban mobilitty for sustainable cities.

Resonate MP4 is member of both System@Tic and Cap Digital competitivness clusters in which it consolidates R&D collaborations with public laboratories and companies. 

Resonate MP4 and bSoft cooperate to integrate bSoft video codec inside Medianate software.

Crispico and Resonate MP4 develop a partnership based on their mutual expertise. Resonate MP4 provides Crispico with its software development experience in multimedia systems when Crispico provides Resonate MP4 with its J2EE expertise.