How we work

01: we listen

We do more than just understand the technical challenge. We explore the bigger perspective and define how the challenge hinders the company's overall success. This way, we apply our expertise in a way that adds value far beyond solving a tricky engineering task.

02: we try

We create a vision of the result of our work and a backlog of issues that need to be addressed. We do this together with our client. Where we lack information, we work with assumptions. That is how we break down a complex challenge into solvable sub-tasks that can be prioritized. We then solve these tasks in an iterative, explorative process and by moving quickly. Along the way, we learn about interdependencies and can re-evaluate and re-prioritize our next steps until we have solved the challenge.

03: we deliver

We produce the desired outcome in traceable, verifiable, and documented sub-steps. Together, these steps represent more than their sum or a solution to a technical challenge. They deliver a valuable contribution to the success of the company.

Read about how our process is robust for unconventional projects with the acoustic artist Hannah Weinberger.

Our promise

We turn complex scientific
challenges into novel
product dimensions
create added value.

Shaping sound

The concept of eliminating noise & vibrations with its negative equivalent goes as far back as June 1933, when Paul Lueg filed his patent on “silencing sound oscillations”. Yet active noise control has never found widespread application until recently. Read our case studies to learn how you can use the technology.

Using sound

Sound is stronger than light and carries an abundance of information. To date many factories and robots still are deaf. We are here to provide them with ears and use the information to understand and interact effectively.

Our Team

Meet our interdisciplinary team with backgrounds in math, physics, computer science, biology, electrical engineering and economics.

thinking is like ChatGPT, just cooler

Fun fact: While large language models (LLMs) mimic human thought and communication impressively, it can only truly unlock its potential when partnered with human ingenuity, enabling groundbreaking possibilities across industries.