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Research Initiatives

Spearheading the future of technology at Fluendo

RDI at Fluendo drives our continuous evolution. We go beyond immediate product development to investigate emerging technologies, explore untapped domains, and foster a company-wide culture of creativity. Our agile, open innovation model empowers internal talent to transform bold ideas into the next-generation of solutions.

How we drive innovation
pillar-1

Incubating new ventures

We focus on the earliest stages of the product lifecycle, exploring new business models and transforming fresh ideas into concrete product proposals.

pillar-2

Exploratory research

We dive deep into complex, emerging fields building a robust internal knowledge base before productizing.

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Empowering internal talent

Our Innovation Committee channels ideas from any member of the company to drive innovation in products, processes, and methodologies.

pillar-4

Open source contributions

We believe innovation thrives in collaboration. We proudly support and actively contribute back to the Open Source Software (OSS) community.

Bits & Bytes

Explore our blog, one byte at a time. Our team unpack our latest news, industry insights and in-depth articles to connect you with the multimedia world.

Blog

Read more about our work

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Gst-Audit: The instrumentation tool for your pipelines

Gst-Audit: The instrumentation tool for your pipelines

gstreamer, open-source, events, beaver

This blog post provides an overview of the Gst-Audit open source project, how it was born, and the technical challenges on building it

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Fluendo at GStreamer Conference 2025 in London

Fluendo at GStreamer Conference 2025 in London

gstreamer, events, open-source, owl

Watch Fluendo's technical talks from the GStreamer Conference 2025 in London.

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Raven: A 100% GPU-driven AI inference framework for real-time video and graphics

Raven: A 100% GPU-driven AI inference framework for real-time video and graphics

ai, multimedia-edge-ai, fluendo-ai-plugins, raven

Redefining real-time AI inference with Raven's GPU-driven architecture.

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NMS-Raster: Post-processing bounding boxes using the “G” in GPU

NMS-Raster: Post-processing bounding boxes using the “G” in GPU

sports, multimedia-edge-ai, gstreamer, fluendo-ai-plugins, raven

Efficient bounding box post-processing using GPU-native NMS-Raster.

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