Newton
A self-learning autonomous backend physical-design agent that reads run evidence, identifies likely root causes, proposes flow or floorplan changes, and preserves outcomes as design memory.
What it does
A self-learning autonomous backend physical-design agent that reads run evidence, identifies likely root causes, proposes flow or floorplan changes, and preserves outcomes as design memory.
- Analyzing timing, congestion, DRC, and signoff issues
- Identifying root causes in backend physical-design runs
- Proposing floorplan, flow, and script changes
- Preserving engineering outcomes as design memory
- Category
- Compute and accelerators
- Users
- Semiconductor physical design and implementation teams
- Public API
- Not offered
Not yet disclosed: deployment options, platforms, languages and support channels.
Pricing
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Security and compliance
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