InnoBrain provides a cloud-based AI platform that translates raw EEG and behavioral data into real-time insights about cognitive ability and mental state. The hardware-agnostic system works with any LSL-compatible or SDK-enabled EEG headset, enabling continuous cognitive monitoring for workplace safety, performance optimization, and mental health screening. Its four-step framework—Plug, Play, Process, Prognose—delivers instant, actionable reports for decision-making in high-stakes environments.
Funding
SEK 50K 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.
Founders
Product
Problem
Traditional cognitive and mental state assessments rely on subjective self-reports or infrequent, lab-based testing that fails to capture real-time brain dynamics. This limits the ability to detect early signs of burnout, depression, or cognitive fatigue, especially in high-stakes occupational settings where timely intervention is critical.
Solution
InnoBrain offers a foundational AI model and plug-and-play platform that transforms EEG and behavioral data into a complete Human Cognitive Map. The system is hardware-agnostic, connecting to any EEG device that supports LSL or offers an SDK, and streams data to the cloud for real-time processing. Advanced AI algorithms translate raw brain signals into actionable insights about cognitive load, focus, mental fatigue, and emotional state. The platform delivers instant, customizable reports that enable organizations to monitor employee well-being, optimize performance, and support safety-critical decision-making. By providing continuous, objective cognitive monitoring, InnoBrain bridges the gap between raw neural data and practical workplace applications.
Target Audience
Primary customers are organizations in the mobility and industrial sectors requiring real-time cognitive monitoring for safety and performance, as well as occupational health providers and mental health screening services seeking objective indicators of burnout and depression risk.
Features
- Hardware-agnostic connectivity supporting any EEG device compatible with LSL or offering an SDK
- Cloud-based architecture for secure, scalable data access and seamless multi-team integration
- Real-time AI-enabled processing that translates brain signals into cognitive state insights as they occur
- Four-step framework (Plug, Play, Process, Prognose) for streamlined deployment from device connection to actionable reporting
- Instant, customizable reports designed for occupational health assessments, mental health screening, and burnout/depression risk indicators
- Advanced cognitive analytics for performance monitoring, training readiness, and safety indicators in mobility and industrial operations