Mafalda SFU receives “Best Scalable Real-Time Media Platform 2026” at the Spanish Business Awards
We are happy to share that Mafalda SFU has been recognised with the award “Best Scalable Real-Time Media Platform 2026” at the Spanish Business Awards organised by EU Business News.
The official listing can be found here: https://www.eubusinessnews.com/winners/mafalda-sfu/
While Mafalda SFU started as an experimental project exploring scalable real-time media architectures, it has gradually evolved into a platform that demonstrates how modern infrastructure can support high-performance, distributed, real-time communications.
What Mafalda SFU is about
Mafalda SFU is a Selective Forwarding Unit (SFU) designed to support scalable real-time media applications built on technologies such as WebRTC.
Instead of mixing or transcoding streams centrally, an SFU forwards media packets between participants, allowing applications to scale efficiently while keeping latency extremely low.
The project focuses on several key ideas:
- Horizontal scalability for large multi-participant sessions
- Low-latency media routing for interactive experiences
- Modular architecture that allows integration with different signaling systems
- Efficient bandwidth usage through selective forwarding
These characteristics make SFU architectures particularly suitable for:
- video conferencing platforms
- real-time collaboration tools
- live interactive streaming
- multiplayer experiences and virtual events
Why scalability matters in real-time media
Real-time media systems are fundamentally different from traditional web applications.
They must deal with constraints such as:
- strict latency requirements
- packet loss and network variability
- adaptive bitrate and congestion control
- large numbers of concurrent participants
Traditional MCU-based architectures (multipoint control units) often struggle to scale efficiently because they require expensive media mixing and transcoding.
SFU architectures instead focus on intelligent packet routing, enabling platforms to handle many participants with significantly lower compute requirements.
Mafalda SFU explores how this model can be implemented in a modern, distributed infrastructure while keeping the system lightweight and flexible.
An experimental platform exploring real-time media architectures
From the beginning, Mafalda SFU was conceived less as a commercial product and more as a technical exploration of scalable media systems.
The project investigates questions such as:
- how to design efficient SFU routing layers
- how signaling systems interact with media routing
- how distributed deployments can support large sessions
- how WebRTC infrastructures can be simplified while remaining scalable
These explorations are increasingly relevant as real-time media becomes a core component of modern platforms, from communication tools to collaborative and immersive applications.
Recognition from the Spanish Business Awards
Receiving the Best Scalable Real-Time Media Platform 2026 award highlights the growing importance of scalable communication infrastructure in today’s digital ecosystem.
As remote collaboration, live media and real-time interaction continue to expand, architectures like SFUs play a crucial role in enabling new kinds of online experiences.
This recognition reinforces the relevance of continued experimentation and research in this area.
Looking forward
Real-time media infrastructure is still evolving rapidly.
Projects like Mafalda SFU contribute to exploring new architectural approaches that can help shape the next generation of communication platforms.
While the project remains experimental, the ideas behind it of scalability, efficiency and modularity in real-time media systems will continue to influence how modern communication platforms are designed.
Learn more
More information about the award can be found here: https://www.eubusinessnews.com/winners/mafalda-sfu/
If you are interested in real-time media architectures, SFUs, or scalable WebRTC infrastructure, stay tuned for future updates and technical articles.