SciTransfer
Organization

BRAINSIGNS SRL

Italian SME developing wearable neurometric devices and brain-computer interfaces for healthcare, transport safety, and smart environments.

Technology SMEdigitalITSMENo active H2020 projects
H2020 projects
5
As coordinator
2
Total EC funding
€1.7M
Unique partners
44
What they do

Their core work

BrainSigns is a Rome-based SME specializing in neuroscience-based measurement and brain-computer interfaces. They develop wearable devices and neurometric tools that decode human cognitive and emotional states using EEG and related brain imaging technologies. Their work translates neuroscience research into practical applications — from assessing driver behavior for transport safety, to monitoring workload and mental states in smart environments, to detecting epileptic seizure zones in clinical settings. They bridge the gap between academic neuroscience and real-world products for healthcare, transport, and IoT sectors.

Core expertise

What they specialise in

Neurometrics and brain-computer interfacesprimary
3 projects

Core focus across BrainWorkloadReader (workload measurement device), Mindtooth (wearable BCI for smart interaction), and WorkingAge (smart working environments).

EEG/MEG signal processing and neuroimagingprimary
2 projects

Applied EEG/MEG expertise in HOPE (epilepsy detection via high-frequency oscillations) and Mindtooth (decoding mental states from brain signals).

Human factors and behavioral assessmentsecondary
2 projects

SimuSafe (behavioral aspects for transport safety) and Mindtooth (behavioral assessment in smart environments) both rely on human factor measurement.

Clinical neuroscience — epilepsy diagnosticsemerging
1 project

HOPE project focused on automatic detection and localization of high-frequency oscillations in paediatric epilepsy, marking an expansion into clinical applications.

Evolution & trajectory

How they've shifted over time

Early focus
Brain workload measurement devices
Recent focus
Wearable neurometrics and smart interaction

BrainSigns started in 2015 with a commercially oriented feasibility study (BrainWorkloadReader) for a compact brain workload measurement device, suggesting an early focus on productizing neuroscience tools. From 2017 onward, they diversified into applied domains — transport safety, clinical epilepsy diagnostics, aging-friendly workplaces, and IoT-connected wearables. Their trajectory shows a clear shift from single-purpose measurement devices toward integrated, wearable neurometric systems designed for real-world smart environments and healthcare.

BrainSigns is moving toward wearable, IoT-connected brain-computer interfaces for everyday environments — expect them to pursue projects combining neuroscience with ambient intelligence, digital health, and human-machine interaction.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European16 countries collaborated

BrainSigns operates as both a project leader and a specialist contributor. They coordinated 2 of their 5 projects, including their largest (Mindtooth, EUR 872K), showing they can lead consortia when the topic aligns with their core BCI expertise. With 44 unique partners across 16 countries, they maintain a broad European network rather than relying on a small circle of repeat collaborators, making them an accessible and well-connected partner for new consortia.

BrainSigns has collaborated with 44 distinct partners across 16 countries, indicating a well-distributed European network. Their partnerships span academia, clinical institutions, and industry across multiple sectors, reflecting the interdisciplinary nature of applied neuroscience.

Why partner with them

What sets them apart

BrainSigns occupies a rare niche as a private SME that can both conduct serious neuroscience research (EEG, MEG, high-frequency oscillation analysis) and translate it into commercial products and services. Unlike university labs that publish but rarely productize, or tech companies that lack deep neuroscience expertise, BrainSigns sits at the intersection — capable of contributing rigorous brain signal processing to a consortium while also driving toward market-ready wearable devices. Their experience across health, transport, and IoT means they can bring neuroscience capability into almost any human-centered project.

Notable projects

Highlights from their portfolio

  • Mindtooth
    Their largest project (EUR 872K) as coordinator, developing a wearable BCI device for smart environments — represents the fullest expression of their commercial vision.
  • HOPE
    Demonstrates clinical-grade neuroscience capability in paediatric epilepsy diagnostics, showing depth beyond consumer/industrial applications.
  • SimuSafe
    Largest consortium participation, applying behavioral neuroscience to transport safety simulation — shows ability to contribute specialist expertise to large cross-sector projects.
Cross-sector capabilities
healthtransportsocietymanufacturing
Analysis note: Good data coverage across 5 projects with clear thematic coherence. Early-period keywords are empty in the dataset (projects had no tagged keywords), so evolution analysis relies on project titles and descriptions rather than keyword comparison. The company website field is empty, limiting verification of current commercial activities.