By combining state-of-the-art speech and audio research with real-time, production-grade SDKs, we test, observe, and enable Voice AI systems to work in any environment.
Our software is used by Voice AI companies across Europe and the United States whose products require reliable performance at scale: call center agents, voice agents, telephony apps, and enterprise voice assistants.
We believe voice will become the main interface for technology and ai-coustics is building the foundational infrastructure to make audio input reliable, measurable, and easy to deploy.
We are backed by leading early-stage investors including Connect Ventures, Partech, Inovia Capital, as well as angel investors from HuggingFace, DeepMind and Amazon with deep expertise in AI and developer infrastructure.
These partners share our vision and are helping us build a world-class team operating with high levels of responsibility and velocity.
We look for people who take ownership, think systemically, and want to solve challenging real-world problems in close collaboration with our customers.
If you’re motivated by developing technology that is used in practice, shaping an emerging category and setting a new standard for how Voice AI works in the real world, you’ll feel at home at ai-coustics.
This is an invitation to join our Talent Pool.
We are constantly looking for engineers and researchers.
Whether your strength lies in designing deep learning architectures or building the robust data foundations that make those models possible, we want to know who you are.
By applying here, you’ll be the first person we call when a specific headcount opens up in our ML or Data Engineering tracks.
Tasks Depending on your focus (ML Research or Data Engineering), your journey with us will involve: Model Innovation: Designing, training, a.