Mirabilis Design helps technology and engineering leaders make high-stakes system architecture decisions with confidence, before committing to silicon, hardware, or infrastructure. As systems such as AI infrastructure, chiplet-based SoCs, aerospace platforms, and software-defined vehicles grow in scale and complexity, the largest risks no longer come from implementation mistakes. They come from architectural assumptions made early and discovered too late.
Traditional design approaches rely on experience, spreadsheets, point estimates, and late-stage validation. While this works for simpler systems, it breaks down when performance, power, thermals, and software behavior emerge from complex interactions across the entire system. Small errors in assumptions can silently cascade into missed SLAs, power and thermal failures, exploding verification effort, schedule slips, and costly redesigns.
Traditional EDA tools play a critical role in this process, but they are designed for a different purpose. EDA focuses on implementation certainty — functional correctness, timing closure, physical realization, and sign-off once an architecture is largely fixed. These tools answer whether a design is built correctly, but they assume the underlying architecture is already the right one. They are deterministic by design and most effective late in the development cycle, when major decisions are difficult or expensive to change.
Mirabilis addresses the gap that traditional EDA intentionally leaves open. Instead of validating correctness, Mirabilis focuses on architectural risk mitigation. It helps teams understand how wrong an architectural decision could be, where a system is likely to break under real workloads, and which assumptions carry the highest downstream risk. This shift turns architecture from a best-guess exercise into a measurable, decision-grade process.
Using system-level modeling, workload-aware analysis, and large-scale what-if exploration, Mirabilis exposes performance, power, and thermal risk envelopes, failure probabilities, hidden coupling effects, and verification hotspots — early, when trade-offs can still be evaluated rationally. The outcome is not a single answer, but a clear understanding of trade-offs, probabilities, and consequences.
Mirabilis does not replace traditional EDA tools. It complements them by ensuring teams enter implementation with validated system-level assumptions, aligned stakeholders, and far fewer surprises. Traditional EDA ensures the system is built correctly. Mirabilis ensures the right system is being built, with full visibility into risk.
Mirabilis works with organizations where the cost of being wrong is measured in months or millions, including AI infrastructure teams, chiplet-based semiconductor programs, and developers of large, software-defined and safety-critical systems. Our customers use Mirabilis not just to design systems, but to de-risk programs, accelerate decisions, and protect long-term investments.
In an era of billion-dollar systems, implementation certainty is necessary — but risk mitigation is decisive. Mirabilis Design exists to make architectural uncertainty visible, measurable, and actionable, before it becomes expensive or irreversible.
