The thesis from AI Tech Sales
What is EDA 3.0?
For forty years, chip design got faster one tool at a time. EDA 3.0 is the next era: an AI-native lifecycle that connects every decision from intent to yield—and closes the loop, so the chip you ship makes the next one smarter.
From tools to orchestration
Every other era of EDA made a single tool run faster. EDA 3.0 changes what we optimize for—and connects the parts that never spoke to each other.
Tool-centric. Siloed. Human-driven.
Each stage of design lived inside its own tool and handed off in one direction. Requirements, architecture, verification and manufacturing rarely talked. Success meant tool speed—and yield data arrived far too late to change any decision that mattered.
AI-native. Connected. Outcome-driven.
One intelligent lifecycle, intent to yield, with AI inside every layer and orchestration across all of them. Success is measured in outcomes—time-to-market, yield, margin—not tool speed. And the loop closes: what the fab learns flows back into what the architect intends.
Six layers. One lifecycle.
Intent → yield → intent.
EDA 3.0 organizes the entire design lifecycle into six AI-native layers. Intent flows down through architecture, code, verification and yield—and, crucially, yield flows back up, so manufacturing reality reshapes the next intent. That feedback loop is the thing EDA 2.0 never built.
Intent & Requirements
What the chip must do, captured as living, machine-readable intent that every downstream layer can trace.
Architecture & Modeling
Design choices explored, modeled and de-risked before a single line of RTL is written.
RTL & Firmware
Implementation—hardware and software—generated and reasoned about with AI in the loop.
Verification
Proving the design does exactly what intent demanded—formally, exhaustively, continuously.
Yield & Physical
Physical design and manufacturing yield treated as a design input, not an afterthought.
AI Orchestration
The intelligence layer that connects all five—sharing data, decisions and learning across the whole lifecycle.
Why this seat is empty
The incumbents own the tools. Three companies hold roughly three-quarters of the EDA market, and they've put AI inside their products. But none of them owns the layer above the tools—there's no intent backbone tracing customer requirements through to silicon, and no line connecting design decisions to manufacturing yield. NVIDIA owns the compute, not the workflow. The hyperscalers' silicon is captive, not commercial. The lifecycle-orchestrator seat—the one that connects all six layers—is unclaimed territory. EDA 3.0 is the claim.
of the EDA market sits with three incumbents—none of which owns the intent or yield layer.
semiconductor market by 2030, won on outcomes—time-to-market, yield, margin—not tool speed.
layers, one orchestration thesis, end to end—from first intent to final yield, and back.
Find the layer your
advantage lives in
EDA 3.0 isn't a product pitch—it's a map of where the next decade of advantage gets built. Bring your toughest design-to-yield problem and we'll show you the layer it lives in.