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CircuitLeap

CircuitLeap provides a cloud‑native platform that automates analog IC layout generation and runs GPU‑accelerated 3D DC and transient simulations. Its AI‑driven engine explores design spaces and delivers high‑fidelity results through a web dashboard and APIs, helping design teams shorten iteration cycles while preserving accuracy.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Analog circuit design cycles are often prolonged by manual iteration, limited simulation throughput, and fragmented toolchains, making it difficult for companies to meet time‑to‑market pressures and maintain competitive performance margins.

Solution

CircuitLeap provides an AI‑enhanced, cloud‑native platform that automates key stages of analog design, from layout generation to multi‑physics simulation. By leveraging large‑scale parallel computing on GPU clusters, the platform runs high‑fidelity 3D GDS DC and transient simulations orders of magnitude faster than traditional EDA tools. Integrated domain expertise and proprietary mathematical models guide the AI engine to explore design spaces efficiently, reducing the number of manual tweaks required. Results are delivered through a web dashboard and APIs, enabling seamless integration with existing design workflows and rapid iteration. The end‑to‑end workflow accelerates design closure while preserving accuracy and manufacturability.

Target Audience

Primary customers are analog IC design teams at semiconductor manufacturers, fabless companies, and EDA vendors seeking to shorten design cycles and improve simulation throughput.

Features

  • Gama: 3D GDS DC simulator optimized for PowerFET devices, delivering sub‑second convergence on large layouts.
  • Magellan: 3D GDS transient simulator for analog circuits, supporting high‑frequency and non‑linear analysis with GPU acceleration.
  • Cabral: AI‑driven GDS generator that creates layout data from high‑level specifications, reducing manual drafting effort.
  • Distributed compute engine that scales across GPU clusters, providing on‑demand parallel simulation capacity.
  • Cloud‑hosted analytics pipeline with automated design rule checking and performance optimization loops.
  • RESTful API and SDK for integration with existing EDA toolchains, version control systems, and CI/CD pipelines.
  • Collaborative web interface with real‑time result visualization, version tracking, and role‑based access controls.
  • Secure, HIPAA‑level encryption for data in transit and at rest, complying with industry confidentiality standards.
This profile is AI-generated and may contain inaccuracies.