Our highly qualified R&D team excels in creating next-generation hardware solutions, specializing in both Application-Specific Integrated Circuits (ASICs) and Field-Programmable Gate Arrays (FPGAs). We leverage the power of FPGAs for rapid prototyping and flexibility, while our ASIC design expertise allows us to deliver optimized, high-volume solutions with maximum performance and power efficiency. We design hardware for a wide range of purposes, from power-efficient edge devices that handle on-the-spot processing to high-performance cloud devices that scale for massive workloads.

Our expertise spans various steps involved in the IC design phases. It is targeted towards diverse and demanding applications, including advanced image and audio processing, big-data applications, data centers, and high-performance computing. We are also at the forefront of designing hardware for critical emerging fields like autonomous driving, where real-time sensor data processing is essential, and health analytics, where secure and efficient processing is paramount.

We also have expertise in designing custom and energy-efficient hardware accelerators—specialized circuits that dramatically boost performance for specific workloads like artificial intelligence (AI) inference, machine learning (ML) training, and large-language models (LLMs) fine-tuned for various applications. Our innovative approach encompasses a mastery of traditional von-Neumann architectures as well as cutting-edge non-von-Neumann architectures, such as those used for neuromorphic or in-memory computing, ensuring that we deliver optimized and future-proof solutions for your unique challenges.

• Advanced Node Design: Proven experience in chip design and successful tape-outs using 45nm and below technology nodes.

• Process Expertise: Extensive knowledge and hands-on work with fabrication processes, including process-specific optimizations.

• Processor Architecture Integration: Skilled in integrating and customizing ARM and RISC-based processor cores, including RISC-V.

• SoC Design: Comprehensive experience with System-on-Chip (SoC) architecture, IP integration, and subsystem design.

• EDA Tools: Proficient in using industry-standard tools such as Cadence, Synopsys, and Siemens Mentor Graphics for front-end and back-end flows.

• Physical Design: Expertise in place and route, timing closure, and verification (DRC/LVS) for complex designs.

• Low-Power Techniques: Application of advanced low-power methodologies for energy-efficient silicon.