Neuralase is exploring the broader idea of inter-species communication using advanced sensing, signal analysis, and AI to help humans detect, interpret, and eventually respond to signals produced by other species.

In recent years, Palmer Lucky has made an effort around “meeting species where they are and communicating with them in a repeatable, verifiable way” and related coverage also describes the goal as using technology so animals could communicate through it.

There is also real momentum in this area more broadly: The Coller-Dolittle Prize has recognized dolphin-whistle decoding work, and a larger challenge has been framed around enabling two-way inter-species communication.

Communication between different species has fascinated scientists for decades. While animals within the same species communicate naturally- known as intra-species communication– the challenge has always been understanding signals that cross species boundaries. This is known as inter-species communication.

• Dolphins use clicks and whistles in the ultrasonic range.
• Elephants communicate using very low-frequency vibrations that travel through the ground.
• Bats interact using ultrasound.
• Some fish and insects communicate using electrical fields or vibrations.

By using machine learning and sensitive receivers, signal processing, and AI models, we can analyse patterns in animal-generated signals such as frequency structures, timing relationships, and repeating sequences. Over time, these patterns can be classified and correlated with behaviour.

Technologies like Neuralase explore the broader principle that signals interacting with the environment carry information. Whether it is radio waves reflecting from the human body, or acoustic signals produced by animals, careful analysis of wave patterns can reveal hidden structure and meaning.