Pre-Silicon Performance Verification Experts
Performance is GameChanger
"(Nvidia) AI chips are so good that even when the competitor’s chips are free, it’s not cheap enough."
-Jensen Huang
Speeding Performance Verification 1000x
To revolutionize hardware design verification for silicon companies by delivering cutting-edge, AI-driven pre-silicon performance verification solutions. Utilizing advanced data science and large language models (LLMs), we extract performance-critical data from testbenches and analyze complex datasets to provide unmatched performance debugging and accelerate convergence beyond human capabilities. Our innovative tools streamline verification processes, drastically reduce time-to-market, and ensure superior design quality.
Founders
Alex Elenjimattom​​
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Alex, an engineering graduate from the Indian Institute of Technology, brings over 13 years of experience at Nvidia, Alex played a key role in design verification and performance verification for groundbreaking projects such as Thor Balckwell, Grace Hopper, Dane, Xavier, Denver. Before founding SiVerif in 2024, he served as the performance verification lead for Nvidia Thor Blackwell.
Mariya Mathews
Mariya, an Engineering Graduate in Data science from the University of Calgary, Canada comes with 15 years of industry experience in software development and architecture. Her expertise lies in data analytics, data visualization, and leveraging AI-driven techniques to extract meaningful insights from data.
Services
PerfAi
We specialize in defining test plans and executing end-to-end performance verification using opensource and inhouse tools, ensuring faster convergence and enhanced design confidence. With deep expertise in ARM architecture, CPU design, cache organization, and high-speed memory interconnects, we provide tailored solutions to meet your unique design and performance needs.
Tailor
Got a custom idea in mind? We can help you get it done.
Data-Driven Verification for Faster, Smarter Silicon
At SiVerif, we replace waveform-heavy debugging with a data-first approach to ASIC performance verification. Our AI-powered tools analyze metrics from existing testbenches, delivering clear insights, bottleneck analysis, and early performance feedback — enabling faster design convergence and best-in-class silicon solutions.
