Every company evolves as the problem it is trying to solve becomes clearer. For us, that moment arrived as we went deeper into building intelligence around human biosignals. What began with one idea grew into something broader and more foundational, and it needed an identity that reflected that shift. With the same DNA and a clearer direction, Nexstem is now Anthriq.

Today, we’re excited to unveil Project Kinesis — Study of the language of human movement. A research initiative to understand how muscle signals can help us build more natural, intuitive, and responsive ways to interact with technology. Earlier this month, we conducted a pilot study using surface electromyography (sEMG), marking the first step in our long-term mission to build the world’s most comprehensive dataset of human movements. Our goal is to move beyond simple motion tracking and detect human intent at its source. Kinesis: Gesture is a comprehensive library of hand gestures—including forearm flexion, wrist movements, and finger-level gestures.

A look at how our identity evolved to reflect what we do today, why we undertook the effort, and what changed as a result.

A vision for a world where technology responds to human intention, interfaces become extensions of the self, and biosignals form a new, intuitive layer of interaction between humans and machines.

Every thought, heartbeat, and muscle twitch leaves behind a signal, but how do we actually capture them? In this blog post, we explore the sensors that make biosignal measurement possible, from EEG and ECG electrodes to optical and biochemical interfaces, and what it takes to turn those signals into meaningful data.

In our previous blog, we explored how biosignals serve as the body's internal language—electrical, mechanical, and chemical messages that allow us to understand and interface with our physiology. Among these, electrical biosignals are particularly important for understanding how our nervous system, muscles, and heart function in real time. In this article, we’ll take a closer look at three of the most widely used electrical biosignals—EEG, ECG, and EMG—and their growing role in neurotechnology, diagnostics, performance tracking, and human-computer interaction. If you're new to the concept of biosignals, you might want to check out our introductory blog for a foundational overview.

The human body is constantly generating data—electrical impulses, chemical fluctuations, and mechanical movements—that provide deep insights into our bodily functions, and cognitive states. These measurable physiological signals, known as biosignals, serve as the body's natural language, allowing us to interpret and interact with its inner workings. From monitoring brain activity to assessing muscle movement, biosignals are fundamental to understanding human physiology and expanding the frontiers of human-machine interaction. But what exactly are biosignals? How are they classified, and why do they matter? In this blog, we will explore the different types of biosignals, the science behind their measurement, and the role they play in shaping the future of human health and technology.

Welcome back to our BCI crash course! Over the past eight blogs, we have explored the fascinating intersection of neuroscience, engineering, and machine learning, from the fundamental concepts of BCIs to the practical implementation of real-world applications. In this final installment, we will shift our focus to the future of BCI, delving into advanced topics and research directions that are pushing the boundaries of mind-controlled technology. Get ready to explore the exciting possibilities of hybrid BCIs, adaptive algorithms, ethical considerations, and the transformative potential that lies ahead for this groundbreaking field.