FPGA & High-Performance Embedded Systems

We design high-performance embedded systems using FPGA and SoC architectures where CPU-based solutions reach their limits, enabling parallel processing, low latency and deterministic execution in demanding environments.

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Measured impact on high-performance system architecture

Our FPGA-based systems remove CPU bottlenecks, enabling predictable performance under high data load and strict timing constraints.

2-5×
higher data processing throughput vs CPU-only architectures
30-60%
lower end-to-end system latency through hardware acceleration
100%
deterministic execution using hardware-defined processing pipelines
0
redesign needed for feature expansion thanks to programmable logic flexibility

How we design high-performance FPGA systems

FPGA performance comes from architecture, not optimization after implementation. Early decisions define throughput, latency and system behaviour.

Parallel processing by design

  • Data paths are designed as parallel pipelines, not sequential execution flows
  • Processing stages are mapped to hardware to eliminate CPU bottlenecks
  • Throughput and latency are defined at architecture level

System-level integration

  • FPGA, CPU and memory are designed as a single system, not separate components
  • High-speed interfaces and data movement are aligned with real bandwidth requirements
  • Hardware acceleration is integrated with embedded software and control layers
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What defines a high-performance FPGA system

System performance is determined by how processing pipelines, data movement and timing are structured at the architecture level.

Throughput-driven architecture

Data flow is structured to maximise parallel processing and eliminate sequential bottlenecks across the system.

Precise timing and synchronisation

Signal paths and processing stages are aligned to maintain timing accuracy across multiple channels and interfaces.

Scalable hardware architecture

System design allows adding new features or processing stages without redesigning the hardware platform.

Proven in real-world projects

Use Cases

FPGA IP Core Development for Aerospace Systems

We design high-precision FPGA IP cores and programmable logic architectures for aerospace systems that demand exact timing, predictable execution, and long-term reliability. Our work focuses on delivering architectures that maintain consistent performance under strict operational constraints, supporting mission-critical functions where accuracy and stability are essential.

Real-Time FPGA Vision Processing for Defence Systems (Dual-Use Systems)

We design FPGA/PLD-based real-time video processing systems for multispectral UAV platforms that require precise image acquisition, parallel sensor data processing, and high-speed data transmission to ground control. The architecture is built for continuous operation in mission-critical environments, delivering stable performance and predictable behaviour.

FPGA-Enabled SoC Architecture for Aerospace Electronics

We design high-reliability aerospace electronics platforms that combine FPGA-enabled SoC architectures with multilayer PCB design, enabling advanced processing flexibility and future adaptability. Programmable logic allows new functionality to be introduced without hardware redesign, reducing lifecycle costs and supporting long-term system evolution.

HDL Migration for Long-Lifecycle Systems

We executed a full HDL migration for a subsea communication module, porting legacy FPGA and modem logic to modern hardware using VHDL and Verilog. This approach extended the operational lifecycle of safety-critical infrastructure without requiring a full system redesign, while maintaining compatibility with existing system constraints and performance requirements.

Proven across industries

Industries We Serve

Our engineering capabilities are deployed across regulated, mission-critical and industrial sectors.

Oil & Gas

Subsea electronics, downhole systems and harsh-environment hardware for offshore and onshore operations.

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Aerospace, UAV Defence

FPGA engineering for real-time signal processing, video processing and hardware acceleration in aerospace systems.

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Industrial Automation & Manufacturing

FPGA-based signal processing and hardware acceleration for high-performance industrial data acquisition systems.

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FAQs

If you have additional questions or would like to discuss your requirements, feel free to get in touch with our team.

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What are FPGA-based embedded systems used for?

FPGA-based embedded systems are used in applications requiring high throughput, low latency and deterministic data processing. They are commonly applied in signal processing, real-time analytics, high-speed communication and hardware acceleration. FPGA allows parallel execution that is not achievable with standard CPU-based systems.

When should FPGA be used instead of a microcontroller or CPU?

FPGA is used when system performance depends on parallel processing, precise timing or custom hardware logic. It is suitable for workloads that exceed the capabilities of traditional processors or require strict latency guarantees. In many systems, FPGA complements CPUs rather than replacing them.

What does FPGA development involve?

FPGA development includes hardware design using HDL (such as VHDL or Verilog), simulation, timing analysis and hardware validation. It also involves integration with embedded software, data interfaces and external systems. The process requires careful control of timing, resource usage and data flow.

How are FPGA and embedded software integrated?

FPGA and embedded software are integrated through defined interfaces such as memory-mapped communication, DMA or high-speed data links. Software controls configuration, data exchange and system orchestration, while FPGA handles performance-critical operations. Proper integration ensures efficient division of responsibilities between hardware and software.

What are the main challenges in FPGA-based systems?

Key challenges include timing closure, resource constraints, complex debugging and verification of hardware logic. Integration with software and external systems adds additional complexity. Small design errors can significantly impact system performance or stability.

How do you optimise performance in high-performance embedded systems?

Performance optimisation involves parallelisation of processing, efficient data pipelines and minimisation of latency in data paths. It also includes balancing workload between FPGA and CPU, as well as optimising memory access and communication interfaces. Validation is performed under real data loads and operational conditions.

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Adam Szychulec
Electronics Design Engineer
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Adam Szychulec
Electronics Design Engineer
Expert in advanced electronics, embedded systems, and AI, combining deep engineering expertise with hands-on experience.
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