Boosted and intelligent video solutions

For applications requiring immediate data analysis and low latency—such as real-time monitoring, autonomous vehicles, and intelligent surveillance—processing information locally is far more effective than relying on centralized cloud servers.

At Fluendo, we combine our expertise in multimedia processing, hardware acceleration, and Artificial Intelligence to create solutions that deliver exceptional performance and reliably on-edge devices.

Our edge-focused approach ensures we meet the high-performance demands of industries that operate seamlessly on edge devices, catering to sectors that demand real-time, reliable data analysis.

Key challenges of AI projects

Deep multidisciplinary expertise

A successful implementation demands advanced knowledge across media processing frameworks (FFmpeg, GStreamer, DirectX), AI frameworks (TensorFlow, PyTorch, ONNX, TensorRT, OpenCV), multi-threading, and hardware accelerators, making it challenging to build, benchmark, deploy, and maintain these solutions.

Heterogeneous Hardware

With cloud, edge, desktop, and mobile devices leveraging a diverse array of CPUs, GPUs, and VPUs (from NVidia, Intel, AMD, ARM Cortex-A, ARM Mali, and more), adapting solutions across these platforms is no small task.

Framework Integration

The diversity of development and production hardware makes the “program once, deploy anywhere” model unattainable without customized approaches to integrating pipelines across various AI frameworks.

How can Fluendo help your business?

Our solutions encompass MLOps infrastructure, AI model deployment, production readiness, maintenance, and optimization for specific devices.

Can you help us create a custom AI application?

Absolutely! We start by understanding your needs to design and develop a custom AI model tailored to your challenges. After evaluating its performance in real-world scenarios, we deploy it to ensure optimal performance and reliability.

Can Fluendo port our Python AI model to an embedded PC?

We have extensive AI and hardware optimization expertise, enabling seamless adaptation and deployment of your AI model to embedded systems. We also offer Raven AI Engine, a versatile AI runtime designed for optimized inference across various platforms (NVIDIA, AMD, etc.) and programming languages (C++, C#, and more).

​​Can you help us improve our AI model’s accuracy?

Of course! Our AI development team excels in refining models that don’t meet specific KPIs. Using techniques such as data filtering, synthetic data generation, model fine-tuning, and optimization, we help enhance your model’s accuracy and achieve the desired outcomes.

Can Fluendo optimize our slow AI application?

We specialize in enhancing the performance of AI applications. Thanks to our expertise in hardware acceleration and efficient runtime environments, we can drastically reduce inference times, making your model suitable for real-time applications.

We are into AI but but we are missing the tools and know-how to make it happen. Can you help?

Fluendo has developed a powerful in-house MLOps infrastructure to ensure traceability throughout the AI lifecycle. From model creation to production monitoring, our system tracks datasets, models, and reports, aligning with the latest EU AI Act regulations and ensuring transparency and compliance.