Technology

Our frontier AI models of brain activity are at the core of our software platform. From sensors embedded in glasses, earbuds, and headphones, to apps, our platform serves as an intelligence layer.

Our Process

A seamless journey from brain signals to powerful applications, with each step building upon the previous to create a complete brain-computer interface ecosystem.

1. Signal Acquisition

Glasses

AR/VR devices with integrated neural sensors for immersive spatial computing.

Headphones

Over the ear headphones with premium audio and advanced neural sensing technology.

Earbuds

Earbuds with discreet in-ear sensors for neural signal capture during daily activities.

Other Devices

Specialized equipment like helmets with integrated neural interfaces for professional applications.

Brain Signals

2. Real-time Signal Analysis

Cloud Analysis

High-capacity, detailed cognitive analytics for comprehensive insights.

Mobile Edge

Instantaneous local cognitive insights for real-time applications.

Cognitive Insights

3. Arctop SDK Integration

Smartphone

Real-time emotional insights enhancing mobile apps.

Tablet

Cognitive analytics enriching educational and productivity apps.

Console

Immersive gaming experiences through brain-state adaptive gameplay.

Developer Tools

4. Application Layer

Gaming

Adaptive difficulty, emotion-responsive gameplay, and immersive experiences that respond to your mental state.

Health & Wellness

Mental fitness tracking, meditation assistance, and cognitive performance optimization.

Productivity

Focus monitoring, cognitive workload management, and frictionless interfaces.

Entertainment

Emotion-responsive media, personalized content recommendations, and interactive experiences.

Empowering a new generation of cognition-aware applications

Capabilities

Our technology unlocks new dimensions of human-computer interaction through advanced brain signal processing.

Cognition Metrics

We decode brain activity to provide objective measures of cognition, enabling unprecedented insights into human mental states.

Interaction

We relate brain activity to specific intentions, enabling a new era of communication and interaction between humans and technology.

Brain ID

We identify the brain's unique signature continuously, providing convenient security with no need for a username or password.

Your AI Assistant

Unlock deeper insights from your brain data through natural conversations with our AI assistant.

Our revolutionary AI conversation feature transforms how you understand and interact with your brain data. Simply ask questions about your sessions in natural language, and our advanced AI will analyze patterns, identify trends, and provide personalized insights that help you optimize your cognitive performance.

Session Analysis

3 sessions analyzed

Analyze my cognition trends across these sessions and identify key patterns.

I've analyzed your sessions and found that your focus peaks consistently between 9-11 am, with a 27% improvement in sustained attention compared to afternoon sessions. When you listen to white noise, your focus increases an average of 64%.

What specific strategies would you recommend for improving my focus during afternoon sessions?

Based on your brain activity patterns, I recommend these evidence-based strategies for afternoon focus:

  1. Microbreak protocol – Take 3-minute breaks every 25 minutes. Your neural patterns show optimal recovery with this specific timing.
  2. Environmental adjustment – Your focus metrics improve 24% in cooler environments (68-70°F) with natural light. Consider relocating near windows after lunch.
  3. Listen to white noise – Your brain responds exceptionally well to white noise. I've added a custom audio track to your library based on your neural signature.

Would you like me to create a personalized afternoon focus schedule based on these findings?

Ask About Your Brain Data

When am I most focused?
What are my enjoyment patterns?
How can I improve my performance?
Compare my morning and evening sessions
Identify my cognitive strengths
What factors affect my concentration?
How does my environment impact my focus?
What's my optimal work schedule?

Key Capabilities

Personalized Recommendations

Receive strategies to improve your cognitive performance based on your unique brain patterns, with specific actionable steps you can take immediately.

Performance Optimization

Identify your peak cognitive states and the conditions that produce them to optimize your performance, with personalized schedules based on your biology.

Contextual Understanding

The AI understands the context of your activities and provides insights tailored to your goals, adapting recommendations based on your specific needs.

Session Comparison

Compare multiple sessions to identify differences in performance across various conditions, with detailed metrics and visualizations.

Pattern Recognition

Discover recurring patterns in your brain activity that correlate with specific behaviors, environments, or tasks, revealing your unique cognitive signature.

Deep Insights

Extract meaningful patterns and trends from your data through natural conversations, revealing hidden connections across multiple sessions.

For Developers

Leverage our AI conversation feature to build brain-responsive applications with confidence.

Research-to-Implementation Workflow

Our AI conversation feature bridges the gap between neuroscience research and practical implementation, enabling you to build truly cognition-responsive applications without specialized expertise.

1

Collect Cognitive Data

Run quick research sessions while engaging with your target context (learning, gaming, meditation, etc.) to collect relevant data.

2

Analyze with AI Conversation

Have a natural conversation with our AI to understand the brain states captured in your sessions:

I'm building an e-learning app. What focus patterns did you observe during my learning session?

I detected three distinct focus states during your learning session, leveraging our multi-dimensional brain decoding metrics:

  1. Initial engagement (0-5 min): High alertness but scattered attention as you oriented to the material. Your Cognitive Workload Index was at 68%, with Focus Score of 72% and Focus Quality at 84%.
  2. Deep processing (6-18 min): Sustained focus during concept explanation sections.
  3. Cognitive fatigue (19-25 min): Attention metrics declined by 27%. Your Focus remained high at 82%, but Cognitive Workload dropped to 61% with distraction increasing.

These patterns suggest implementing adaptive content pacing that presents complex material during the 6-18 minute window when cognition states are optimal, then introduces interactive elements after 18 minutes to re-engage users as Enjoyment and Focus decline.

How should I detect when a user is confused or will remember something?

To detect hightened memory encoding abilities in your e-learning app, monitor these neural markers from our brain decoding platform:

  1. Focus > 0.75 for at least 30 seconds, indicating sustained. elevated brain activity across relevant regions
  2. Cognitive Workload Score > 85%, showing deep engagement with learning material
  3. Visual Attention > 80%, showing resistance to distraction
  4. Enjoyment between 65-85%, indicating optimal challenge level

I've added a code snippet to your library that implements this detection algorithm with the optimal thresholds based on your session data. The algorithm uses a weighted ensemble approach that's 92% accurate in identifying this state across different users.

3

Implement with Confidence

Use the insights and recommendations to build brain-responsive features with our SDK:

ArctopSDKImplementation.swift
public override init() {
	super.init()
	sdk.registerListener(listener: self as ArctopSDKListener)
	sdk.registerListener(listener: self as ArctopSDKQAListener)
}

// Process real-time brain data updates
func onValueChanged(key: String, value: Float) {
	DispatchQueue.main.async {
		self.realtimePredictionValues[key] = value
	}
}

// Handle quality assurance status updates
func onQAStatus(passed: Bool, type: ArctopSDK.QAFailureType) {
	DispatchQueue.main.async {
		self.realtimeQaValue = (passed, type)
	}
}

Example Applications

Adaptive Learning

Adjust content difficulty based on cognitive workload and attention levels to optimize learning efficiency.

Responsive Gaming

Dynamically adjust game difficulty and elements based on player focus and emotional engagement.

Focus-Aware Productivity

Minimize distractions during deep focus states and suggest breaks during cognitive fatigue.

Mental Wellness

Create meditation apps that respond to mental states and guide users to desired cognitive states.

Neuroscience Research

Collect and analyze brain data in real-world contexts to advance understanding of cognitive processes.

Healthcare Applications

Develop monitoring tools that track cognitive patterns to support early detection and intervention.

Start Building