The Challenge
The global shift toward in-memory and neuromorphic computing is redefining the future of hardware design. Yet, researchers and engineers face fragmented workflows — from incompatible tools and device models to complex verification pipelines that slow innovation. Current EDA frameworks are optimized for CMOS-era logic and struggle to adapt to emerging memory technologies like RRAM, SRAM, or MRAM for computing-in-memory. This lack of flexibility hampers exploration and delays the transition to energy-efficient, memory-centric architectures critical for AI and edge computing.
Our Solution
Ximplic aims to bridge this gap with a device-agnostic EDA ecosystem tailored for Computing-in-Memory (CIM) design. Our platform unifies modeling, simulation, logic synthesis, and hardware prototyping under one intelligent environment — enabling designers to seamlessly move from concept to chip, regardless of the underlying memory technology.
Our Focus
Our first focus is empowering research labs and hardware startups developing in-memory logic, in-memory accelerators, and hardware security primitives. With Ximplic, teams can evaluate new materials, optimize circuit architectures, and prototype hybrid memory systems with unprecedented speed and accuracy. By integrating automation, modular design flows, and cross-technology compatibility, Ximplic makes next-generation computing truly accessible.
Our Mission
To simplify complexity in the hardware design process — accelerating innovation from device physics to system-level implementation, and shaping the future of intelligent, memory-driven computing.
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