Building the physiological data layer that enables AI systems to understand human cognitive and emotional states in real-time. Deployed using consumer hardware, scalable across billions of devices.
Fusing EEG, ECG, eye tracking, and behavioral signals to create real-time cognitive and emotional state vectors. Proprietary algorithms achieve 92% accuracy across attention, stress, and flow states.
Edge-first architecture runs entirely in browsers and mobile apps. WebRTC enables peer-to-peer physiological data streaming with sub-50ms latency. No cloud dependency reduces infrastructure costs by 98%.
API layer connects human state data to any AI system. Enables context-aware responses, adaptive UX, and predictive interventions across productivity, health, and education verticals.
AI agents that detect cognitive overload and adjust complexity in real-time. Deployed in productivity tools, reducing task abandonment by 34% and increasing completion rates across 2,400 daily active users in pilot.
Continuous stress and focus monitoring for meditation apps. Replaces self-reporting with objective physiological data. Integrated in 3 wellness platforms reaching 120K monthly users, showing 2.3x increase in session completion.
EdTech platforms use attention metrics to optimize content difficulty and pacing. Early trials with 5 partners show 41% improvement in knowledge retention. TAM: $240B global EdTech market.
Proprietary multimodal fusion algorithms combine EEG, heart rate variability, eye tracking, and behavioral signals to achieve 92% accuracy in real-time state classification. 18 months of R&D and 450K data hours create significant technical barriers to replication.
API-first platform with usage-based pricing eliminates customer acquisition friction. Edge-first architecture means 98% lower infrastructure costs than cloud-based competitors. Zero hardware requirements enable immediate global distribution.
Privacy-first architecture designed for GDPR/HIPAA compliance from day one. Edge processing eliminates data transfer risks and regulatory friction. This positions us favorably for healthcare and enterprise adoption where competitors face years of compliance work.
Physiological data stays on-device by default. Reduces GDPR compliance burden by 90% for enterprise customers.
Architecture enables HIPAA-compliant deployments. Pre-validated compliance frameworks accelerate healthcare sales cycles.
Open-source core builds trust with security teams. SOC 2 Type II certification in progress for H1 2026.
We're working with forward-thinking organizations to integrate human state awareness into their products. API access available for qualified partners. Investment conversations open for strategic investors.
API documentation
Technical onboarding
Integration support
Proof-of-concept deployment
Custom use case development
Success metrics tracking
Investor deck available
Strategic partnership opportunities
hello@synstatelabs.com