Design silicon at speed.
GPU accelerated design, from architecture to physical closure
Explore hardware architectures and bring RTL through physical design with GPU accelerated tools. See placement, timing, and routing results in one workflow.
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.
Internal Research Results
- AES standard-cell area
- 25.74%
- Lower than Siemens Aprisa
- AES routed wirelength
- 20.87%
- Shorter than Siemens Aprisa
- JPEG standard-cell area
- 12.02%
- Lower than Siemens Aprisa
- JPEG functional proof
- 4,426
- Sequential states covered
Separate experimental benchmark candidates. These do not constitute a single production-qualified result or complete timing/power signoff.
Commercial comparison detailsZenith 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.