NeuChip designs scalable neuromorphic systems. From ultra-low-power edge devices to large-scale AI platforms, we turn brain-inspired computing into robust, hardware-ready solutions.
neuchip.nl
Hardware–algorithm co-design and system-level architecture expertise that makes neuromorphic and AI computing practical, efficient, and scalable for real-world products.
Design of neuromorphic processors and event-based computing platforms, from ultra-low-power edge devices to scalable multi-core systems.
Custom accelerators for spiking and deep neural networks, exploiting in-memory computing and emerging non-volatile memory technologies.
Architecture consulting for ultra-efficient AI inference, from memory-bandwidth analysis to compute-datapath design for large language models.
Rigorous benchmarking, design-space exploration, and hardware-aware optimization under realistic power, latency, and area constraints.
Prototyping across FPGA, SoC, and ASIC flows, with clear guidance on prototype-to-product pathways.
Independent expert advice on neuromorphic and AI-hardware technology for industry, R&D consortia, and policy institutions.
NeuChip participates in collaborative R&D projects and industry partnerships around neuromorphic computing, embedded AI, and advanced semiconductor technologies.
NeuChip is a partner in NeAIxt, a €95M European Chips Joint Undertaking initiative for next-generation edge AI. We develop an open-source RISC-V-based neuromorphic processor architecture with on-chip learning and emerging non-volatile memories, collaborating with partners such as imec and Innatera on hardware–algorithm co-optimization, security, and benchmarking.
neaixt.eu ↗Consulting for Euclyd, a European semiconductor startup building ultra-efficient silicon for large-scale AI inference. NeuChip contributed architecture consulting on LLM inference acceleration, covering memory-bandwidth analysis and hardware-efficiency trade-offs for foundation-model workloads.
euclyd.ai ↗Expert consulting for Ecorys on a study for the European Parliament's Committee on Industry, Research and Energy (ITRE) on the potential of neuromorphic computing, providing independent technical expertise on the technology landscape, applications, and strategic outlook for Europe.
ecorys.com ↗Power, latency, and scalability decide whether embedded AI succeeds in the real world. Our process keeps those constraints central from day one.
Application requirements, workloads, and system constraints, captured with realistic targets.
Design-space exploration and benchmarking to identify the best architecture candidates.
Joint hardware–algorithm optimization and mapping onto the selected platform.
Prototypes on FPGA, SoC, or ASIC flows, with a clear pathway from prototype to product.
Whether you are exploring neuromorphic technology, need an independent expert view, or want a partner for your next R&D project, we would like to hear from you.