A software-only neural interface.
Decoding intent, attention, and emotional state using cameras, microphones, and sensors—no wearables or implants. Built for adaptive experiences, accessibility, and safe AI agents.
What makes Quantaflow unique
Multimodal signal fusion on everyday devices, unlocking a cognitive interface without specialized hardware.
No hardware, no headsets
Camera micro-expressions, blood-flow shifts, and gaze cues decoded with commodity sensors only.
Acoustic + inertial signals
Voice harmonics, breath signatures, and subtle motion fused to infer intent and affect.
On-device, privacy-first
1B–4B quantized multimodal models run locally—no raw biometrics leave the device.
Intent-level interface
Maps micro-signals to actions, cognitive load, and emotional state for adaptive UIs and agents.
System layers
From signal capture to multimodal inference and privacy controls.
Signal capture
- Micro-saccades, pupil dilation, facial tension maps
- Voice harmonics, breathing, gait signatures
- PPG micro-bloodflow via standard cameras
Multimodal intent engine
- Small transformers (1B–4B) for intent + affect
- Curiosity vs. hesitation; cognitive load detection
- Policy-bound outputs for safety and access
Privacy & governance
- All processing local; encrypted summaries only
- Per-app policy gating + attested model builds
- Future tie-in to Harmoniq/Cognito for trusted auth
How Quantaflow listens
Signals pulse across the ring—vision, audio, bloodflow, and inertial cues—then converge into the on-device intent engine.
Where Quantaflow lands first
Adaptive interfaces, accessibility, and trusted cognition across consumer, enterprise, and civic contexts.
Ready to prototype Quantaflow?
Let’s scope datasets, sensor policies, and accessibility-first interfaces. From pilots to production with trusted partners across health, productivity, and safety.