Astrus
Astrus provides an AI-powered software platform that automates analog microchip design, a process where engineers currently place transistors by hand. The platform uses a foundation model rooted in AlphaGo research to learn semiconductor physics and create chip layouts that exceed human capabilities. This enables semiconductor companies to achieve up to 10× gains in speed or power while dramatically shortening development cycles.
- Semiconductor
- Artificial Intelligence
- Software Only
- Hardware
Funding
Raised to date
$25.3MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
$22.7M across 4 disclosed rounds
+5$12M · Series A
Announced Sep 2026 · from article date
Disclosed cumulative: $22.7M
Reported total $25.3M
Incomplete round history. $2.6M of the $25.3M reported total isn’t matched to a known round.
Founders
Product
Problem
While much of the microchip design process is automated, the most critical parts of modern chips—analog circuits—are still hand-crafted by engineers who manually place a single transistor at a time. As transistors shrink and frequencies rise, idealized digital 1s and 0s blur into analog behavior, and physics can no longer be ignored. This manual, expertise-driven process is the biggest bottleneck holding back the next generation of computing, leading to long development cycles and high costs.
Solution
Astrus provides AI-powered software tooling that empowers analog designers to create the world's most advanced microchips. Rooted in the AlphaGo line of research, the company is building a foundation model that learns semiconductor physics to design microchips that go beyond the limits of human capabilities. The platform automates circuit layout and optimization, reducing the manual effort required in chip design and accelerating development cycles. By leveraging AI to master the physics of analog design, Astrus enables companies to achieve up to 10× gains in speed or power and bring new products to market more quickly and efficiently.
Target Audience
The primary target audience includes semiconductor companies and analog chip design firms seeking to accelerate their development cycles, reduce costs, and push beyond the performance limits of human-designed circuits.
Features
- Foundation model trained on semiconductor physics, rooted in the AlphaGo research lineage
- AI-driven automation of analog circuit layout and optimization, replacing manual transistor-by-transistor placement
- Capability to deliver up to 10× gains in speed or power performance over conventional designs
- Software tooling designed specifically for analog designers to create advanced microchips
- Cloud-based platform accessible through a customer portal at app.astrus.ai