bitsign
Press release
A product of UMI
Universal Motion Intelligence
For immediate release
August 31, 2026
The next interface is human.
AI learned our words, our voices and our world. What it still struggles to understand is the language of the human body.
Human-computer interaction has spent decades becoming more human. We typed, and machines learned language. We spoke, and machines learned to listen. We looked, and computer vision let them perceive the physical world. Each step removed a layer of translation between people and machines.
The next layer is not another screen or input device. It is the human being — hands, face, body, movement and expression, already communicating.
The next interface is human.
A Deaf patient walks into a hospital and begins to sign. There is no absence of information here. There is an abundance of it — in the hands, the face, the body, the timing, the space between movements. The patient is already communicating. The question is whether the system around them can understand it.
That is the idea behind bitsign, UMI's first product: a real-time, bidirectional communication system being developed to help Deaf and hearing people understand one another through natural signed and spoken communication.
Healthcare is where the problem is most immediate. A Deaf patient may arrive at an emergency department, clinic or hospital at any hour. Qualified interpreters remain essential for complex and consequential interactions, but human availability is finite. Communication needs are not.
bitsign is being built for the space between those two facts: to expand immediate communication availability while preserving the role of qualified human interpretation wherever it is required.
The body already speaks
Sign language is an unusually difficult test of machine understanding. It is not a sequence of hand gestures. Meaning depends on handshape, orientation, finger movement, facial expression, body posture, spatial relationship, timing and linguistic context — all at once.
Sign language is not a collection of gestures. It is proof that the human body can carry language.
bitsign combines an existing ASL intelligence architecture, a multimodal translation pipeline and a continuous benchmarking framework. The current program is focused on model optimization, multimodal accuracy, confidence and failure characterization, Deaf-centered validation and healthcare-specific deployment preparation.
The problem is larger than sign language
The deeper question behind bitsign is simple: what happens when machines can understand human movement as information?
People communicate continuously without speaking. We point, reach, turn, hesitate, glance toward something, shift posture, signal urgency, coordinate with one another through movement alone. The meaning is often not contained in a single pose. It exists across time, space and context.
To understand natural sign language, a machine has to reason across hands, fingers, face, body, space, sequence and context together. That is no longer gesture recognition. It is machine understanding of human motion — and sign language does not merely illustrate that problem. It proves it.
The human body is already an interface. Machines simply need to learn how to understand it.
UMI, Universal Motion Intelligence, is building the layer between human movement and machine understanding.
Sign language is the beginning. Not the boundary.
Healthcare changes the standard
The moment communication technology enters healthcare, the standard changes.
A consumer application can optimize for convenience and broad availability. A clinical deployment has to account for different requirements around performance, privacy, security, validation, governance, accessibility, integration and operational accountability.
bitsign Clinical is being designed as a healthcare deployment environment, not a consumer interface placed inside a hospital. Its architecture can incorporate confidential computing, hardware-isolated processing, encrypted communications, data minimization, controlled access, auditability, consent-gated retention and facility-specific governance.
The same principle applies to accuracy. In healthcare, a system must not only perform well — it must reveal where it is uncertain, where escalation is appropriate, and where established accommodation processes, including qualified human interpreters, remain necessary.
Accuracy is not only a technical benchmark. In healthcare, it is a human requirement.
The technology should adapt to the hospital
UMI is preparing bitsign for clinical integration and pilot deployment, working with selected healthcare environments to define how the technology should operate inside real workflows.
That work includes questions a laboratory benchmark cannot answer alone: where the system belongs in a care journey, which interactions are appropriate, how devices are managed, how security review is handled, how uncertainty is surfaced, when escalation occurs, and how the technology fits alongside existing accessibility services.
The technology should adapt to the hospital. The hospital should not have to adapt to the technology.
The next interface is human
The history of computing is partly the history of machines learning new ways to understand people. First we typed commands. Then software learned language. Speech became an interface. Computer vision taught machines to recognize the physical world.
Now intelligent systems are beginning to operate inside that world — robots that move through it, wearable devices that observe it, cameras and sensors that increasingly mediate the space between people and machines. All of them will encounter a signal humans have always understood intuitively: movement.
A machine that can see a person is useful. A machine that can understand what that person is communicating through movement is something else entirely.
The next interface is human.
That is the territory UMI is pursuing — and it begins with a problem where the value of understanding is immediate.
A patient enters a hospital.
They raise their hands.
They begin to sign.
The technology should not require them to communicate differently. It should learn to understand how they already communicate.
The next interface is human. Sign language is the beginning. Not the boundary.
From motion to meaning.
About UMI / bitsign
UMI, Universal Motion Intelligence, is developing intelligence that translates human movement into machine-understandable meaning. Its first product, bitsign, is focused on real-time, bidirectional communication between Deaf and hearing people, beginning with healthcare and other environments where accuracy, privacy and accessibility matter most.
Media and partnership contact
Michael J. Parker · Co-Founder & CEO, UMI / bitsign
bitsign.ai · umi.vision