Biogrip Tech

About Biogrip Tech

BioGrip develops a non-invasive, high-resolution neuromuscular human-machine interface (HMI) platform that captures sensitive biological signals. This platform uses machine learning to decode signals into precise, simultaneous movements for real-time wireless control of robotic systems. The technology aims to enhance human capabilities, support rehabilitation, and provide advanced prosthetic control for individuals with physical limitations.

```xml <problem> Existing bionic systems often struggle to provide users with natural and intuitive control of artificial limbs, requiring significant mental effort to perform complex, simultaneous movements. This lack of seamless integration between mind and machine limits the functionality and user experience of current prosthetic devices. </problem> <solution> BioGrip is developing a smart bionic system that uses a wireless nerve-machine interface to connect robotic systems to the human body, enabling natural and simultaneous control of artificial limbs. Their non-invasive sensor membrane collects nerve signals and employs AI algorithms to compare them to a limb motion model, predicting the user's intended movements. The system then wirelessly transmits these signals to the device, executing the desired motion with minimal conscious effort. This technology aims to restore natural movement and independence for individuals with physical disabilities. </solution> <features> - Wireless nerve-machine interface for direct connection between the human body and robotic systems - Non-invasive sensor membrane for collecting nerve signals - AI-powered motion prediction based on a limb motion model - Real-time control of complex and simultaneous movements - Voice control and indicators for enhanced usability - Assisted prediction providing feedback to control pressure applied to objects and anticipate desired movements </features> <target_audience> The primary target audience includes individuals with physical disabilities requiring artificial limbs or rehabilitation devices, as well as medical professionals and researchers in the field of bionics and prosthetics. </target_audience> ```

What does Biogrip Tech do?

BioGrip develops a non-invasive, high-resolution neuromuscular human-machine interface (HMI) platform that captures sensitive biological signals. This platform uses machine learning to decode signals into precise, simultaneous movements for real-time wireless control of robotic systems. The technology aims to enhance human capabilities, support rehabilitation, and provide advanced prosthetic control for individuals with physical limitations.

When was Biogrip Tech founded?

Biogrip Tech was founded in 2019.

How much funding has Biogrip Tech raised?

Biogrip Tech has raised $670.0K.

Who founded Biogrip Tech?

Biogrip Tech was founded by Alan Hernández.

  • Alan Hernández - CEO
Founded
2019
Funding
$670.0K
Employees
4 employees
Investors
Draper Associates
BT

Biogrip Tech

BioGrip develops a non-invasive, high-resolution neuromuscular human-machine interface (HMI) platform that captures sensitive biological signals. This platform uses machine learning to decode signals into precise, simultaneous movements for real-time wireless control of robotic systems. The technology aims to enhance human capabilities, support rehabilitation, and provide advanced prosthetic control for individuals with physical limitations.

Founded 20194700+ followers8/10 TractionRelative Traction Score based on online presence metrics compared to companies in the same age group.
Updated 15 months ago

Funding

$670.0K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Existing bionic systems often struggle to provide users with natural and intuitive control of artificial limbs, requiring significant mental effort to perform complex, simultaneous movements. This lack of seamless integration between mind and machine limits the functionality and user experience of current prosthetic devices.

Solution

BioGrip is developing a smart bionic system that uses a wireless nerve-machine interface to connect robotic systems to the human body, enabling natural and simultaneous control of artificial limbs. Their non-invasive sensor membrane collects nerve signals and employs AI algorithms to compare them to a limb motion model, predicting the user's intended movements. The system then wirelessly transmits these signals to the device, executing the desired motion with minimal conscious effort. This technology aims to restore natural movement and independence for individuals with physical disabilities.

Target Audience

The primary target audience includes individuals with physical disabilities requiring artificial limbs or rehabilitation devices, as well as medical professionals and researchers in the field of bionics and prosthetics.

Features

  • Wireless nerve-machine interface for direct connection between the human body and robotic systems
  • Non-invasive sensor membrane for collecting nerve signals
  • AI-powered motion prediction based on a limb motion model
  • Real-time control of complex and simultaneous movements
  • Voice control and indicators for enhanced usability
  • Assisted prediction providing feedback to control pressure applied to objects and anticipate desired movements
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This profile is AI-generated and may contain inaccuracies.