Predicting Impulsivity.
Protecting the Player.
Standard compliance relies on lagging indicators. It tells you a user chased their losses, not that they are about to.
The Limits of Observation
Currently, operators rely almost exclusively on macro-level, retrospective metrics: historical transaction data, session length limits, or self-reported questionnaires.
The Resulting Failure
By the time an automated system flags a user for hitting a deposit limit or playing for 14 hours straight, the financial harm has already occurred. You are intervening too late.
A Different Approach
nx10 analyses the physics of play. We translate real-time kinematics into cognitive states, detecting the exact micro-window when a player shifts from "hot" to "cold" cognition - before they place the bet.
The Science of Choice
Anchoring motion to emotion.
The neurobiological link between emotional regulation and motor control is universal. When a player transitions from "hot" to "cold" cognition, the somatic motor system experiences an entropy spike. We built nx10 to detect this exact moment.
Entertainment (Regulated)
A tight, healthy baseline. Goal-directed, low-stress interactions characterised by high kinematic efficiency, predictable wagering rhythms, and spatial stability.
Chasing Losses (Dysregulated)
A broad, high-entropy cloud. Rational choice degrades. Muscle co-contraction alters touch surface area and stability is lost, physically manifesting as erratic, high-pressure screen strikes and device tremor.
Predictive Models
The Signatures of Problem Gambling.
Every human has a highly individualised motor signature. "Frantic tapping" might be a normal baseline for one user, or signs a problem is developing for another. Once a normative baseline is established, we map structural state changes against three critical dimensions of behavioral risk.
1. Refractory Period
When a healthy player experiences a severe loss, they recover quickly. A dysregulated player exhibits a drastically slower return to their baseline kinematics, a prolonged refractory period indicating sustained tilt.
2. Dispersion Distance
The severity of the drift. How far into the dysregulated matrix did the player go? Extreme physical variance correlates heavily to irrational wagering and impulsive deposit attempts.
3. Frequency
How often is the player departing their baseline? Healthy users often quit after a difficult loss. Frequent periods of dysregulation signal a structural loss of executive control.
The missing context layer
We combine physical interaction, real-world context, and digital events, making nx10 the missing link for proactive LiveOps and compliance.
State Context
The engine translates physical interactions into three distinct layers of human insight, unlocking over time as player baselines form.
1. Indices
Continuous data reflecting the player's core battery and capacity.
- Cognitive CapacityLive cognitive battery level
- Cognitive ResilienceSpeed of return to baseline
2. Phenotypes
Categorisations of the current session state.
- Frustration v Enjoyment
- Good v Bad Stress
- Regulated v Dysregulated
3. Cohorts
Predictive groupings trained on state + activity data.
- "High Dysregulation"Highly predictive of problem habits
- "Optimal Flow"High engagement trajectory
Physical Context
nx10 activity recognition maps the real-world environment. Are they focused on the couch, or playing distracted on a bus?
walkingin_transitlying_downsittingDigital Context
Your game syncs its own custom state. We tie your exact game logic to our emotional indices.
account_debit: 420open_positions: >100num_sessions_today: >101. Access Insight
Query via the Real-Time API for live game logic changes, or graph it in the Attunement Analyser dashboard.
Physical.Activity == 'In_Transit' &&
Regulation == 'Dysregulated'
3. Take Action
Integration is easy.
nx10 works with your existing interaction data, requires no new hardware, and integrates into current systems without adding friction for users or compromising their privacy.
Integrate
Native SDKs silently capture raw telemetry in the background. 100% content-blind. Unaware of who the users are.
Early State Context, Physical Context & Digital Context
DaysPlayers are baselined. See what players are doing in the real world while they play, and access cognitive indices - all matched to the specific actions they were taking in your game.
Full State Context
WeeksDeep learning surfaces hidden predictive cohorts, tying physics directly to rage-quits, flow states, and dysregulation, see exactly how players are experiencing your games.
Consume
Route intelligence back into your systems, or explore via online dashboard tools.
From signal to compliance.
Our lightweight SDKs deploy in minutes. They handle the data gathering, compression, battery management and background syncing automatically. Fails open by default to guarantee zero impact on your core platform loops.
Supported Platforms
import Nx10
class DepositViewController : UIViewController {
func onDepositAttempt(amount: Double) {
let currentState = Nx10.getCurrentState()
// Check if player is exhibiting dysregulated kinematics
if currentState.inference.matches("tilt_state") {
// Block deposit. Force a cool-off period.
presentCoolOffScreen(durationSeconds: 60)
RGTracker.logIntervention(reason: "Kinematic Tilt")
return
}
// Proceed with transaction
PaymentGateway.process(amount)
}
}
One Engine. Three Strategic Pillars.
Integrating cognitive-affective detection unlocks massive enterprise value across the entire operator ecosystem.
Regulatory Compliance
Provide regulators with a highly defensible, physiological audit trail. Prove mathematically that your platform actively monitors distress and successfully intervenes to protect players before financial harm occurs.
Protecting High-Rollers
Avoid accidentally pushing an addicted player over the edge. By verifying a VIP is in a healthy "Flow State" rather than dysregulated, managers can time concierge outreach or bonus drops perfectly.
Optimising the Loop
Map player dysregulation against specific casino mechanics, game studios, or losing streaks. Use cognitive-affective telemetry to A/B test UX changes and empirically prove your interventions return players to a regulated state.
Invisible to the user.
Bulletproof for compliance.
We engineered nx10 to respect the CPU, protect the core loop, and ensure absolute anonymity by default.
Micro-Payloads
Kinematic events are compressed into highly optimized binary tuples, minimizing size on the wire and respecting user data caps.
Battery Preserving
Data is batched and synced passively using native OS background tasks to ensure telemetry ingestion never drains the device battery.
Thread Isolated
The SDK operates entirely on background threads and fails open. If our cloud drops, your app never stutters. No manual UI wrapping required.
100% Content-Blind
We do not read text, view screens, or access the camera. We measure the physics of interaction, entirely ignoring semantics or passwords.
Anonymity by Default
All data is processed against randomized hashes. Individual kinematic data points cannot be reverse-engineered to identify a specific user.
Strict Sandboxing
Operates securely within native OS sandboxes without requesting invasive permissions. Compliant with strict infosec standards.
Ready to secure your platform?
Get your API keys and deploy emotional analytics today.