MulticoreWare acquires Simulus Automation to integrate FPGA and CXL capabilities

The integration of Simulus Automation allows MulticoreWare to control the full silicon-to-solution pipeline, addressing the growing complexity of heterogeneous System-on-Chips. By bringing FPGA and high-speed interconnect expertise in-house, the company can optimize power efficiency and data throughput for AI infrastructure and spatial intelligence. This move reflects a broader industry shift where software providers must master hardware-level verification to ensure performance in distributed processing environments. As streaming and edge applications demand lower latency, the ability to emulate AI workloads on Cloud FPGAs becomes a critical competitive advantage. Watch for how this unified design pipeline impacts the time-to-market for new robotics and industrial automation chipsets.

MulticoreWare's acquisition of Simulus Automation lands amid a broader wave of semiconductor design-services consolidation driven by AI infrastructure demand. In March 2025, Synopsys completed its $35 billion acquisition of Ansys, creating the largest electronic design automation company by revenue and signaling that chip-design toolchains are becoming strategic assets for AI silicon development. That deal followed a pattern of EDA and IP vendors absorbing adjacent capabilities to serve hyperscaler and automotive customers who need full-stack verification from RTL through system-level emulation. MulticoreWare's move to bring FPGA and CXL verification in-house mirrors this trend at a smaller scale, targeting the mid-market SoC segment where dedicated EDA tool budgets remain constrained.

The CXL interconnect standard that Simulus Automation specializes in has gained significant institutional backing in 2025. The Compute Express Link Consortium released CXL 3.2 specification updates in early 2025, adding features for multi-headed device support and enhanced security that are critical for AI training clusters and memory-pooling architectures. Meanwhile, Samsung began shipping CXL 2.0 memory expander modules to hyperscaler customers in the first half of 2025, validating commercial demand for the interconnect layer that MulticoreWare now has internal expertise to verify and optimize. The convergence of CXL hardware availability with software-defined infrastructure creates a specific niche where hardware-software co-design firms can differentiate against pure-play EDA vendors.

On the FPGA side, MulticoreWare's existing work in accelerated computing positions it to compete with larger design-services firms that have already invested in cloud FPGA platforms. AMD's Xilinx division reported in its Q2 2025 earnings that data center FPGA revenue grew 28% year over year, driven by AI inference offload and network acceleration workloads. That growth underscores why verification expertise for FPGA-based SoCs commands premium pricing in the design-services market. MulticoreWare's combined capability set, spanning CXL protocol verification, PCIe Gen6 compliance testing, and FPGA emulation, addresses the exact integration challenges that chipmakers face when connecting AI accelerators to host processors in heterogeneous compute environments.