Imagine a super-thin, flexible wrap for the brain that can listen to neurons with incredible detail. Instead of bulky wires, it uses a single layer of carbon atoms to act like a smart switchboard. This allows doctors to read brain signals more clearly without damaging the delicate tissue.
Current brain-computer interfaces rely on passive metal electrodes that are too invasive and lack the resolution and bandwidth needed for precise brain mapping.
A graphene-based transistor array and a custom ASICv1 read-out chip for high-density neural recording.
If you are a neuroprosthetics manufacturer dealing with low-resolution signal capture and invasive wiring — this project developed graphene-based transistors that offer high resolution and multiplexing. This reduces the number of wires needed while improving signal bandwidth.
If you are a therapy provider dealing with imprecise brain stimulation — this project developed a functional prototype for clinical trials that improves neurosurgical precision. This enables more accurate delivery of neuromodulation therapies.
If you are a BCI startup dealing with the challenge of scaling production for clinical use — this project developed a microfabrication process achieving a 95% device yield on 100 mm wafers. This allows for a faster transition from lab to commercial scale.
The BCI market is projected to reach a size of €5.25B by 2030.
Yes, the project has achieved a 95% device yield on 100 mm wafers and has successfully upscaled to 150 mm wafers.
Based on available project data, protecting IP is listed as one of the core objectives for the current project phase.
Based on available project data, specific unit costs or pricing models are not provided.
The project runs until 2026-11-30, with plans to apply for the EIC Accelerator between 2026-2028 to bridge the market gap.
The project is developing a dedicated ASICv1 (tapeout scheduled for March 24th) capable of driving 16 columns and reading 8 rows.
The consortium is highly streamlined, consisting of 2 partners in Spain. It is led by Inbrain Neuroelectronics SL, an SME, creating a 50% industry ratio. This lean structure suggests a fast-track approach to commercialization, focusing on the transition from research to a medical product.
Contact INBRAIN NEUROELECTRONICS SL regarding graphene-based BCI licensing
Contact us to explore partnership opportunities with the GphT-BCI consortium.
