Full-stack AI services across the ASIC design lifecycle
From architecture modeling to private AI infrastructure — every service is AI-augmented and designed to coexist with your existing EDA toolchain.
High-fidelity SystemC/TLM models for IP blocks and SoC subsystems, with AI-assisted spec-to-model generation.
Full-chip virtual prototypes for early firmware development, system validation, and architecture exploration.
AI-driven UVM regression, coverage optimization, log/waveform triage, and automated failure root-cause analysis.
AI-assisted synthesis flow tuning, QoR exploration, and constraint debugging across vendor toolchains.
AI-augmented APR flows for placement quality, CTS optimization, routing convergence, and sign-off triage.
Custom AI platform build-out connecting your tools, data, and engineers into one orchestrated platform.
Fine-tune, evaluate, and deploy domain LLMs specialized for semiconductor design and EDA workflows.
Design and deploy a private AI platform for hosting domain LLMs — secure, isolated, and fully under your control.
Where the Arvinsa AI ASIC platform delivers measurable impact today
Turn IP and SoC specifications into SystemC / TLM models with AI-guided generation and review loops.
Smarter regression selection, coverage closure, and statistical insight from huge UVM regression pools.
AI clustering and triage of simulation logs, waveforms, and tool errors to compress debug time.
Wrap and orchestrate Cadence / Synopsys / Siemens flows with AI-driven decision points and reporting.
Bring your specs, design docs, and tribal knowledge into a retrieval-augmented LLM available to every engineer.
Deploy a private, semiconductor-tuned LLM behind your firewall with full IP and data sovereignty.
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