Graphene neural interface systems for implantable neuromodulation therapeutics
INBRAIN manufactures high-density graphene neural interfaces targeting FDA-regulated neuromodulation applications. The tech stack—PostgreSQL, MongoDB, Spark, Docker, Kubernetes on AWS/Azure/GCP—reflects a hardware-software hybrid org managing both manufacturing automation (SolidWorks, Fusion 360) and real-time data pipelines. Active projects span autonomous implantable systems, wafer scaling (150mm→200mm), and electrochemical characterization, while pain points cluster around manufacturing yield, equipment qualification, and regulatory compliance—typical of a deep-tech hardware company transitioning from R&D to clinical-stage production.
INBRAIN Neuroelectronics designs and manufactures graphene-based neural interfaces for peripheral nerve modulation, with FDA Breakthrough Designation status. Founded in 2020 and headquartered in Barcelona, the company operates across implantable device design, precision manufacturing, and data infrastructure. Current projects include autonomous neuromodulation systems, real-time data acquisition tooling, and scaled wafer processing (transitioning to 200mm geometry). The 51–200-person team is engineering-heavy, with mid- to senior-level hiring concentrated in Spain, indicating focus on both hardware development and manufacturing automation to support commercialization.
Autonomous implantable systems for peripheral nerve modulation, real-time data acquisition orchestration, and manufacturing tooling for thin-film neural devices. Current work includes wafer processing scale-up (150mm to 200mm) and electrochemical characterization of graphene electrodes.
PostgreSQL, MongoDB, Apache Spark, Pandas, Docker, Kubernetes, Jenkins, and Apache Airflow for data pipelines; AWS, Azure, GCP for cloud infrastructure; SolidWorks and Fusion 360 for mechanical design; Graphene for electrode materials.
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