Your Brain, Optimized.
Powered by Neural OS.
One unified platform connecting any BCI hardware to AI-powered cognitive insights. Monitor attention, optimize focus, and unlock peak mental performance.
Your Brain Has No Dashboard
We track steps, heart rate, and sleep — but the most important organ has no real-time monitoring. The BCI ecosystem remains fragmented and inaccessible.
Cognitive Blind Spot
No way to know when you're at peak performance or approaching burnout. Decisions, learning, and creativity happen without cognitive awareness.
Hardware Fragmentation
50+ BCI devices, each with proprietary SDKs. Building for one means rebuilding for another. Innovation is trapped in silos.
No Neural Privacy Standard
Brain data is the most intimate data imaginable. Yet there's no standardized framework for neural data governance.
Neural OS: The Android for Your Brain
Just as Android unified fragmented mobile hardware into one ecosystem, Neural OS unifies BCI devices into a single cognitive optimization platform.
Cognitive Applications
Focus training, adaptive learning, sleep optimization, neurofeedback meditation — built on the platform or by third-party developers
Developer API & SDK
RESTful API, WebSocket streams, React/Python/Unity SDKs — build cognitive apps in hours, not months
Neural OS Signal Engine
Proprietary EngineReal-time FFT, band power extraction, artifact rejection, and AI-driven cognitive state inference with <5ms latency
BrainFlow-Powered HAL
Open Source FoundationBuilt on BrainFlow (MIT, 2,200+ GitHub stars) — hardware-agnostic data acquisition across 16+ device brands
Hardware Agnostic
One API for 16+ BCI devices — EMOTIV, Muse, OpenBCI, Neurosity, and more
AI Cognitive Engine
Foundation model-powered attention, focus, and cognitive load detection
Neural Privacy
Differential privacy, on-device processing, and consent-first architecture
Real-time Streaming
Sub-5ms WebSocket streams of decoded cognitive states to any client
From Raw Brainwaves to Actionable Insights
A scientifically validated pipeline turning noisy electrical activity into precise cognitive metrics.
Hardware Abstraction
Any BCI device connects through BrainFlow HAL. Raw EEG signals (μV-level) are captured at device-native sampling rates (256-1024 Hz).
Artifact Removal
Bandpass filtering (0.5-50Hz), notch filter (50/60Hz), and ICA-based artifact rejection. Signal-to-noise ratio improves 10-100x.
FFT & Band Power
256-point FFT decomposes signals into Delta (1-4Hz), Theta (4-8Hz), Alpha (8-13Hz), Beta (13-30Hz), and Gamma (30-50Hz) bands.
Cognitive State Inference
Our EEG Foundation Model maps band patterns to cognitive metrics: attention, cognitive load, relaxation, emotional valence — with 85-92% accuracy.
Real-time API Output
Decoded states stream via WebSocket in <5ms. Clean JSON with confidence scores enables adaptive UX, neurofeedback, and analytics.
Real-time EEG Signal Processing Pipeline
Watch our signal engine synthesize multi-channel EEG data, perform FFT spectral analysis, extract frequency band powers, and infer cognitive states — the complete pipeline from raw signal to actionable insight.
How This Works
This demo runs a complete EEG signal processing pipeline in your browser. The engine synthesizes 8-channel EEG signals with physiologically accurate frequency content (Delta 0.5–4 Hz, Theta 4–8 Hz, Alpha 8–13 Hz, Beta 13–30 Hz, Gamma 30–100 Hz), applies a 256-point Hann-windowed FFT for spectral decomposition, extracts band powers using Parseval's theorem, and derives cognitive states from established neuroscience metrics (Beta/Theta ratio for attention, Alpha dominance for relaxation, frontal Theta for cognitive load). The same pipeline processes real EEG data from BrainFlow-compatible devices — only the signal source changes.
Synthesized EEG data for demonstration. Production system connects to real BCI devices via BrainFlow HAL.
From Vision to Reality
A disciplined 18-month execution plan to build, validate, and scale the Neural OS platform.
Foundation & Hardware Validation
- ✅ BrainFlow HAL integration (16+ device support)
- ✅ Signal Engine (FFT, band power, cognitive inference)
- ✅ Interactive Experience with neurofeedback games
- Assemble founding team (CTO + CPO)
- Hardware validation: Neurosity Crown + Muse 2
AI Cognitive State Engine
- EEG Foundation Model integration
- Real-time WebSocket streaming (<5ms latency)
- Developer documentation portal
- Seed funding round ($1.5-2.5M AUD)
Platform Launch & First Verticals
- Public beta with 10+ supported BCI devices
- Neural Privacy Framework v1.0
- First commercial partnerships (EdTech + Wellness)
- Developer community & open-source SDK
Scale & Ecosystem
- Series A fundraise
- Enterprise cognitive analytics tier
- App marketplace for cognitive applications
- Clinical validation partnerships
Founded at the Intersection of Finance & Technology
Neural OS is backed by deep expertise in Asia-Pacific capital markets, venture building, and cross-border investment — now applied to the frontier of cognitive computing.
We're Building the Founding Team
Seeking exceptional technical co-founders — CTO (Neural Engineering) and CPO (Developer Experience) — to build the operating system for brain-computer interfaces.
Ready to Build the Future of Cognitive Computing?
Whether you're a potential co-founder, investor, or early adopter — we'd love to hear from you.