Press Release: UNISERS Ships First Fully-Automated Fab Tool
Press Release: UNISERS Ships First Fully-Automated Fab Tool
Our journey began at ETH Zurich, with a discovery that offered a new way to tackle one of semiconductor manufacturing’s toughest challenges. Particle contamination on wafers is a major risk—and as chips get smaller, it becomes hard to know what’s actually on the wafer. Without that insight, problems persist and process improvements stall.
In 2019, we founded UNISERS AG and built our first 300 mm wafer prototypes with limited resources. Early demos confirmed the technology worked, and patents protect our approach.
Our solution makes particles visible and identifiable. We boost optical detection, measure true particle size, and fingerprint contamination. Suddenly, invisible particles become actionable, helping semiconductor manufacturers catch contamination earlier and optimize production yields.
To date, UNISERS has raised over CHF 20M in investment, including a CHF 12M seed investment round with Intel Capital, M Ventures, Swisscom Ventures, and RSBG Ventures in February 2023.
Today, our systems are in use in Europe, the US, and Asia, and our team has grown significantly. With hands-on prototyping and practical innovation, we’re helping the industry see what others miss—making contamination control faster, more reliable, and universally applicable.
CEO & Board Member
Global deep-tech leader with 30+ years in deep-tech scaling multiple companies from pre-revenue to commercial success and exits
CTO, Co-Founder & Board Member
Visionary scientist with 10+ years of semiconductor industry experience in Korea and US
Head of Finance
15+ years in operations/finance at UBS, Deloitte, and as startup founder
Engineering Manager
15+ years as a deep-tech leader, founder, and inventor with expertise in semiconductor product leadership
VP Customer Relations
20+ years in semiconductor equipment sales, supply chain, R&D, and high-volume production
BASED IN
PORTLAND,
U.S.
GM, Technical Business Development
Contamination control expertise
at leading semi companies: TSMC, Entegris, Lam Research
BASED IN
HSINCHU, TAIWAN
VP Operational Excellence
15+ years strategic operations leadership in startups and multinational corporates
Detect nanoparticles down to 10 nm in size.
Molecular classification and images of defects are used to identify contamination sources.
AI algorithms combine defect size, molecular classification and defect images to accelerate detection and troubleshooting on the production floor of high-volume chip manufacturing.
Our customers can easily and confidently identify the source of contamination, resulting in significant yield improvements. Higher quality chip production ensures the chips in your devices work reliably, so you can stay connected and keep discovering without limit.
Switzerland-based microchip toolmaker Unisers said on Thursday it had raised $14 million in a funding round led by Intel Capital to build new-technology demonstrator machines for trials by major chip-fabrication customers. […]
At UNISERS you would be working with cutting edge technologies and be solving some of the most challenging problems facing the semiconductor industry today.
We’re a startup with big ambitions and even bigger plans, but we need talented people like you to bring those plans to life.
Find out about the latest available roles on our Jobs page.
