Company: Bitbrain (formerly Liftware)
Headquarters: Zaragoza, Spain / San Francisco, USA
Founded: 2012
Funding: $20 million+
Status: Private
Overview
Bitbrain is a neurotechnology company specializing in wearable brain monitoring solutions for both medical and research applications. The company develops advanced EEG headsets and biosensing technologies used in neuroscience research, clinical settings, and consumer applications[@bitbrain]. Originally known for its tremor-suppression utensils (Liftware), Bitbrain has evolved into a comprehensive brain-computer interface company offering research-grade wearable EEG systems.
The company's mission centers on making brain monitoring accessible beyond clinical settings, enabling continuous monitoring in natural environments. This capability is particularly valuable for neurodegenerative disease research, where understanding brain activity in daily life contexts provides unique insights into disease progression and treatment efficacy[@bitbraina].
Pipeline
Development Programs
| Program | Indication | Stage |
|---------|------------|-------|
| Development program | Research | Preclinical |
| Clinical EEG | Epilepsy monitoring | FDA cleared |
| Cognitive assessment | Alzheimer's disease | Clinical validation |
Wearable EEG Systems
Bitbrain produces high-quality wearable brain monitoring devices with varying specifications:
...Company: Bitbrain (formerly Liftware)
Headquarters: Zaragoza, Spain / San Francisco, USA
Founded: 2012
Funding: $20 million+
Status: Private
Overview
Bitbrain is a neurotechnology company specializing in wearable brain monitoring solutions for both medical and research applications. The company develops advanced EEG headsets and biosensing technologies used in neuroscience research, clinical settings, and consumer applications[@bitbrain]. Originally known for its tremor-suppression utensils (Liftware), Bitbrain has evolved into a comprehensive brain-computer interface company offering research-grade wearable EEG systems.
The company's mission centers on making brain monitoring accessible beyond clinical settings, enabling continuous monitoring in natural environments. This capability is particularly valuable for neurodegenerative disease research, where understanding brain activity in daily life contexts provides unique insights into disease progression and treatment efficacy[@bitbraina].
Pipeline
Development Programs
| Program | Indication | Stage |
|---------|------------|-------|
| Development program | Research | Preclinical |
| Clinical EEG | Epilepsy monitoring | FDA cleared |
| Cognitive assessment | Alzheimer's disease | Clinical validation |
Wearable EEG Systems
Bitbrain produces high-quality wearable brain monitoring devices with varying specifications:
| Product | Channels | Type | Application |
|---------|----------|------|-------------|
| EPOC X | 14+ | Dry EEG | Research |
| EPOC Flex | 32 | Gel-based EEG | Clinical research |
| EPOC+ | 14 | Dry EEG | Consumer/research |
| Muse | 4 | Dry EEG | Consumer (partnership) |
| Spectra | 32 | Hybrid EEG | Clinical grade |
Technical Specifications
Bitbrain's EEG systems feature:
- Sampling rate: 256-512 Hz depending on model
- Resolution: 24-bit ADC for high signal fidelity
- Frequency range: 0.1-100 Hz (full spectrum)
- Impedance monitoring: Real-time contact quality checks
- Wireless: Bluetooth 5.0 for low-latency streaming
- Battery life: 6-12 hours continuous recording
Biosensing Integration
Bitbrain devices support multimodal recording:
- EEG: Brain wave monitoring with standardized electrode positions (10-20 system)
- EOG: Eye movement tracking for artifact removal and sleep analysis
- EMG: Muscle activity (optional) for movement disorder studies
- Heart Rate: PPG integration for autonomic nervous system assessment
- Accelerometer: Head movement tracking for artifact correction
- Skin conductance: Emotional arousal detection
Medical Applications
Bitbrain's technology is used in various medical applications:
Epilepsy Monitoring
Long-term EEG monitoring for seizure detection represents a major application area[@bitbraina]:
- Ambulatory monitoring: Patients can wear devices at home during daily activities
- Seizure detection: Automated algorithms identify epileptiform discharges
- Pre-surgical evaluation: Video-EEG monitoring for epilepsy surgery planning
- Drug-resistant epilepsy: Continuous monitoring to optimize treatment
Sleep Disorders
Sleep studies benefit from wearable EEG[@bitbraina]:
- Polysomnography home testing: Reduced need for sleep lab visits
- Sleep architecture analysis: Sleep stage classification
- Insomnia studies: Understanding sleep-wake patterns
- REM behavior disorder: Detection of abnormal REM sleep
Stroke Rehabilitation
BCI-based motor rehabilitation has shown promise[@bitbrainb]:
- Motor imagery detection: Identifying movement intentions
- Neurofeedback training: Enhancing motor recovery
- Progress monitoring: Objective measures of recovery
- Home-based therapy: Extending rehabilitation beyond clinic
Movement Disorders
For [Parkinson's disease](/diseases/parkinsons-disease) and other movement disorders:
- Tremor analysis: Characterizing tremor frequency and severity
- Dyskinesia monitoring: Detecting medication-induced movements
- Deep brain stimulation optimization: Guiding stimulation parameter settings
Research Applications
The company supplies equipment to leading research institutions worldwide:
Academic Research
- University Research: Over 3,000 publications using Bitbrain equipment[@bitbrain]
- Neuroimaging studies: Functional brain mapping research
- Cognitive neuroscience: Attention, memory, and executive function studies
- Brain-computer interfaces: BCI algorithm development and testing
Clinical Trials
Bitbrain technology supports pharmaceutical research[@bitbrain]:
- EEG endpoints: Objective measures for clinical trials
- Biomarker development: EEG-based disease progression markers
- Drug efficacy: Monitoring treatment effects on brain activity
- Natural history studies: Understanding disease progression
BCI Development
The open platform enables algorithm development:
- Signal processing: Developing EEG analysis methods
- Machine learning: Training decoding algorithms
- Application development: Creating brain-controlled interfaces
Alzheimer's Disease and Dementia
Bitbrain's EEG technology shows particular promise for Alzheimer's disease monitoring and research[@babiloni2020]:
Cognitive Decline Detection
EEG can identify early changes in brain activity associated with cognitive decline:
- Theta/alpha ratio: Elevated theta relative to alpha indicates cognitive impairment
- Slowing of EEG: Progressive frequency reduction correlates with disease severity
- Event-related potentials: P300 latency delays indicate processing speed reduction
- Connectivity changes: Altered functional connectivity patterns
Memory Task Monitoring
EEG tracks brain activity during memory tasks:
- Working memory: Frontal theta activity during memory maintenance
- Episodic memory: Hippocampal activation patterns (via scalp EEG)
- Encoding vs retrieval: Different neural signatures for memory processes
Sleep Architecture
Disrupted sleep patterns detected via EEG may serve as early biomarkers:
- REM sleep disruption: Early marker of neurodegeneration
- Sleep fragmentation: Frequent awakenings correlate with cognitive decline
- Slow-wave sleep reduction: Loss of deep sleep in AD patients
Research Applications
Bitbrain equipment is used in studies examining:
- Neural oscillations: Relationship between theta/gamma coupling and amyloid deposition
- Biomarker validation: Correlating EEG markers with CSF and PET biomarkers
- Treatment monitoring: Tracking effects of [cholinesterase inhibitors](/entities/cholinesterase-inhibitors)
- Preclinical detection: Identifying at-risk individuals before symptoms
Key Differentiators
Bitbrain distinguishes itself through several characteristics:
Research Grade: Scientific accuracy meeting research standards
Wearable Design: Comfortable for extended monitoring periods
Open Platform: SDK and API for custom applications
Validation: Extensive peer-reviewed validation across applications
Regulatory Clearance: FDA-cleared medical devices for clinical usePartnerships
Bitbrain maintains strategic partnerships:
- Microsoft: Integration with Azure for cloud analysis[@bitbrain]
- Research Universities: Collaborations worldwide
- Clinical Institutions: Hospital partnerships for medical applications[@bitbraina]
- Technology Companies: Integration with VR/AR platforms
Comparison with Competitors
| Feature | Bitbrain | Emotiv | OpenBCI | g.tec |
|---------|----------|--------|---------|-------|
| Channel count | 14-32 | 14-32 | 8-64 | 8-256 |
| Dry electrodes | Yes | Yes | Yes | Some |
| FDA cleared | Yes | No | No | Yes |
| Price | $$ | $ | $ | $$$$ |
Future Directions
Bitbrain is developing next-generation technologies:
- Higher density systems: More electrodes for better spatial resolution
- Dry electrode improvements: Enhanced comfort and signal quality
- AI integration: On-device machine learning for real-time analysis
- Chronic monitoring: Long-term implantable options
See Also
- [Brain-Computer Interface Technologies](/technologies/bci-index)](/technologies)
- [Non-Invasive BCI Technologies](/technologies/bci)](/technologies)
- [EEG-Based Neural Interfaces](/technologies/eeg-bci)](/technologies)
- [Alzheimer's Disease Biomarkers](/diseases/alzheimers-disease)
References
Unknown, Bitbrain Corporate Website (n.d.)
Unknown, Bitbrain Medical Applications (n.d.)
Unknown, Bitbrain Clinical Solutions (n.d.)
Babiloni, C. et al, EEG markers for Alzheimer's disease (2020)