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Starlab

Starlab provides state‑of‑the‑art neuroimaging data analysis and telemedicine platforms for electroencephalography (EEG) and transcranial electrical stimulation (tES). Leveraging AI and machine‑learning, the company offers a versatile EEG analysis service that integrates with MRI, ECG, GSR and other sensors, delivering scalable health markers for research, clinical care, and experience‑focused applications such as its EmoWave® real‑time emotional response platform.

Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Access to high-quality neurophysiological data and reliable biomarkers is limited by the need for specialized equipment, expert analysis, and integration of multiple sensor modalities, hindering large‑scale research, clinical diagnostics, and real‑time emotion monitoring.

Solution

Starlab offers a cloud‑based platform that combines medical‑grade electroencephalography (EEG) with transcranial electrical stimulation (tES) and optional integration of MRI, ECG, GSR and other sensors. The service provides end‑to‑end data acquisition, artifact correction, and AI‑enhanced analysis to generate scalable biomarkers for health, disease, and emotional response. Clients can run experiments remotely via wireless telemedicine hardware, receive automated reports with statistical visualizations, and access real‑time dashboards for decision support. Specialized modules address early detection of neurodegenerative disorders, cognitive development studies, and objective emotion tracking for commercial applications.

Target Audience

Primary customers are clinical research organizations, pharmaceutical companies developing CNS therapies, telemedicine providers, and commercial brands seeking objective neuro‑experience metrics.

Features

  • Cloud‑hosted EEG/tES acquisition system with wireless, FDA‑cleared hardware for remote data collection
  • Integrated multimodal sensor support (MRI, ECG, GSR, etc.) through standardized data pipelines
  • AI‑driven signal processing including artifact removal, spectral analysis, connectivity, and source localization
  • Automated generation of disease‑specific biomarkers for neurodegeneration, neurodevelopment, and brain health monitoring
  • Real‑time emotion‑response markers (EmoWave®) for cosmetics, museums, advertising and other experience‑focused industries
  • Customizable reporting with statistical summaries, visualizations, and API access for integration into clinical or research workflows
This profile is AI-generated and may contain inaccuracies.