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
Vision
To empower silicon companies with efficient and accurate pre-silicon performance verification solutions, leveraging AI-driven tools to process complex data, ensure faster time-to-market, and deliver unparalleled design quality. By combining expertise with innovation, we simplify verification processes and enable teams to achieve excellence with confidence.
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
Unlike traditional ASIC verification, performance verification is primarily data-driven. At Siverif, we emphasize leveraging data analytics over waveform debugging for performance verification. We specialize in designing, developing, and deploying UVM based verification IPs that collect performance-critical data. This data is analyzed using AI-powered tools to provide visualization, key insights, and bottleneck analysis for complex performance-critical designs. By delivering early performance feedback, we enable faster architectural convergence and help create best-in-class ASIC solutions.
