The silicon company.
Ground Truth at Scale
The silicon company.
Ground Truth at Scale
Flex-speed semiconductor automation powered by GPU-native physics solvers. Accelerating RTL-to-GDSII physical closure 7–10× across advanced nodes.
BENCHMARKED & VERIFIED ACROSS ADVANCED SILICON & AI ECOSYSTEMS
The speed of AI.
The certainty of silicon.
Autonomous AI agents now collaborate directly with hardware architects. Together they construct a living model of your SoC design with foundry DRC constraints, timing graphs, and GPU-native physics encoded into memory.
Ask it to hit timing on a 1.8 GHz tile or resolve congestion across 100 million gates. You receive verified solutions in seconds, fully traceable to GPU-native placement and analytical routing engines.
Fast because it’s agentic. Trusted because it’s physics.
Hardware design software,
one integrated stack.
Bridging high-level system-on-chip exploration directly to GPU-accelerated GDSII physical closure.
Accelane EDA Engine
GPU-native logic synthesis, analytical electrostatic placement, and parallel routing kernels. Verified on TSMC 28nm with 100M+ gate capacity.
Zenith Architect
Cycle-accurate architecture exploration for heterogeneous SoCs, custom vector extensions, and RISC-V application processors prior to RTL implementation.
DragonX exists to make advanced silicon design computable.
We build trusted, GPU-native electronic design automation and AI-powered simulation engines for the teams designing next-generation processors, accelerators, and electronic systems.
Every silicon design our engines close compounds toward that mission: a world where complex chip engineering moves at the speed of software, with verified mathematical certainty.