We make machines see.
That vision defines our purpose: to deliver embedded perception capabilities that allow systems to understand their surroundings, interpret visual input, and act with awareness.
Omnior is a European software company focused on intelligent embedded vision and video processing systems. Our solutions operate deep inside the hardware stack, powering mission-critical applications across robotics, automation, and autonomous mobility.
The invisible intelligence layer
Modern hardware contains powerful sensors capable of streaming vast amounts of visual data. Yet without intelligence, that data offers little value beyond archival footage or offline analytics.
Our software becomes an invisible intelligence layer between physical sensors and actionable decisions. It enables machines to:
- Perceive multi-modal visual environments
- Interpret meaning and detect patterns
- Track objects, activities, and anomalies
- Understand context and intent
- Respond and adapt autonomously
When machines can see, they can understand. When they understand, they can act — safely, efficiently, and in collaboration with humans.
A multidisciplinary foundation
Embedded vision demands cross-domain knowledge. We integrate expertise spanning:
- Embedded C/C++ firmware development
- Computer vision and imaging pipelines
- Neural network deployment and optimization
- Robotics system architecture
- Sensor calibration and signal processing
- Real-time scheduling and hardware acceleration
- Memory- and compute-efficient model runtimes
This combination allows Omnior to engineer solutions that bridge the gap between algorithms and hardware realities.
Many perception systems fail not because the idea is flawed, but because the implementation cannot meet real-time constraints or operational demands.
Our engineering approach begins with the constraints:
- Available compute resources
- Timing budgets
- Thermal envelopes
- Precision and safety requirements
- Environmental unpredictability
We then design systems that remain performant and reliable inside those constraints.
European engineering culture
Omnior is built on engineering rigor, resource efficiency, and long-term reliability. We invest in research, maintain strong connections to academic and industrial labs, and continue pushing boundaries in embedded vision.
Our philosophy emphasizes:
- Disciplined architecture
- Predictable performance
- Traceable and testable assumptions
- Robust handling of unknowns
- Maintainability across long deployments
We recognize that true autonomy depends less on flash and more on reliability. Edge devices operating in factories, vehicles, or field environments cannot rely on unstable behavior. They require consistency and transparency.
Partnership mindset
We see ourselves not as a vendor, but as a development partner. Every system has unique constraints; every roadmap hides unknown risks. We work closely with clients to:
- Define realistic technical requirements
- Plan for scalability and maintenance
- Integrate new capabilities without disruption
- Ensure transparent communication throughout development
- Validate performance under real-world conditions
Partnership means sharing the challenge — and the responsibility — of delivering dependable perception systems.
Innovation through research and iteration
Innovation is not a moment; it is a continuous engineering discipline.
We maintain internal research efforts in areas such as:
- Real-time video analytics
- Low-power deep learning inference
- Sensor fusion and multimodal perception
- Adaptive runtime optimization
- Latency-aware pipeline design
- On-device AI robustness and explainability
We integrate results from research into production-ready components only when they prove reliable. The aim is not to chase trends, but to deliver measurable performance improvements rooted in real systems needs.
Built for the future of autonomy
Machines must sense before they can move or react. Every advancement in robotics, autonomous navigation, remote monitoring, and automation depends on perception improving ahead of control systems.
Omnior provides that enabling perception layer. Our work accelerates the transition from rule-based automation toward intelligent autonomy — where systems interpret context instead of following predetermined instructions.
Our long-term vision:
- Machines that act safely and intentionally
- Systems that adapt to complex, dynamic environments
- iIfrastructure capable of scaling perception to distributed edge devices
- Intelligence that improves continuously, not occasionally
By building robust perception pipelines today, we establish the foundation for tomorrow’s autonomous systems.