Asterquanta Systems Inc

Exhibitor at SEMICON Taiwan 2026 · Booth Q6158

Booth Q6158Country CA1 product topics
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BoothQ6158
CountryCA
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AsterQuanta is building the AI brain for analog semiconductor design. Our Reinforcement Learning based Digital-Genie platform helps semiconductor companies develop intellectual property faster, create richer design intelligence, and unlock new IP through AI-driven optimization and reusable engineering knowledge. We accelerate AI adoption across analog semiconductor workflows through seamless integration with existing tools, flexible deployment, and support for external AI agents. This allows organizations to adopt AI incrementally without disrupting established design environments. AsterQuanta also strengthens the semiconductor workforce by upskilling engineers, increasing productivity, and enabling teams to capture and reuse institutional knowledge. The result is faster innovation, scalable AI adoption, and a more capable workforce equipped to build the next generation of semiconductor products. Teams can develop their own agents or deploy specialized capabilities for analog and mixed-signal circuit design, verification, validation, optimization, and design-space exploration. With a strong focus on analog semiconductor workflows, AsterQuanta’s technology helps reduce development time, improve engineering productivity, capture institutional knowledge, and support faster, more reliable design convergence across semiconductor programs. The company is engaging with leading semiconductor organizations, government programs, research institutions, and global innovation ecosystems, including Texas Instruments, GlobalFoundries, India’s Ministry of Electronics and Information Technology, and the Ontario trade mission to SEMICON Taiwan.

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Provides the reinforcement-learning-based Digital-Genie platform for AI-driven optimization and reusable engineering knowledge in analog semiconductor design. It integrates with existing tools and external AI agents and can deploy specialized capabilities for analog and mixed-signal circuit design, verification, validation, optimization, and design-space exploration.

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