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POSM 0.71 POSM 0.83 BALANCED SAFE
POSM Live Monitor
Real-time Predictive Operational Safety Margin
Track inference stability across your entire fleet. POSM drives automatic mode transitions before issues surface.
Open Dashboard Pro
Budget Pressure → Complexity → Low effort Med effort High effort
Cognitive Effort Map
2D Heatmap of Task Complexity vs Budget Pressure
Understand where inference load concentrates. The heatmap updates live as prompts and queue depth change.
Explore Effort Monitor
ACTIVE MODE SAFE BALANCED AGGRESSIVE HI-PREC MODE TRANSITIONS — SESSION 42% BALANCED 22% SAFE 18% HI-PREC 12% AGGRESSIVE 6% RECOVERY
Operating Mode Engine
Five-mode Policy Controller with Live Transition Tracking
From Safe to Aggressive Save, NeuroThrottle selects and switches policies automatically based on POSM, queue, and memory signals.
Enterprise Core Docs
INPUT user request POSM Predictive Safety Margin Engine MPC Model Predictive Controller CBI Cognitive Budget Interface URR Universal Reasoning Regulator CAV Cognitive Activation Vector SOCM System Output Constraint Mgr OUTPUT governed response feedback loop latency · queue · mem · temp · power ① Safety Margin ② Control Loop ③ Budget Gate ④ Reasoning Gov ⑤ Activation Vec ⑥ Output Mgr
Architecture Overview
End-to-End Inference Governance Pipeline
Every request flows through POSM estimation, mode selection, and the inference governor before output — with a feedback loop on every cycle.
View Core Architecture
Predicted POSM → Observed POSM → R² accuracy 0.941 Run samples Ideal y=x Regression
Stability Analytics
POSM Prediction Accuracy — R² = 0.941 Across Session
Validate your inference governor. The stability scatter confirms POSM predictions align tightly with observed outcomes across all operating modes.
Open Analytics Tab
COGNITIVE GOVERNANCE LAYER

The First Real-Time Governance Layer for AI Systems

NeuroThrottleTM governs AI Inference - reducing cost, stabilizing outputs and optimizing reasoning depth automatically — without changing your models. Built for AI platforms, enterprise deployments and autonomous systems operators
PROBLEM / SOLUTION

AI Today is Powerful — and Uncontrolled

  • Costs scale unpredictably
  • Latency spikes on complex tasks
  • Reasoning is inconsistent
  • Multi-model setups increase complexity

NeuroThrottleTM Governs It

  • Dynamic reasoning control
  • Cost-aware execution
  • Latency optimization per request
  • Stability regulation via POSM
  • Model-agnostic. Works with any LLM or AI system
MEASURED IMPACT
-40%
Cost-aware execution control
-35%
Latency reduction potencial
+Stability
Bounded behavior
0 Changes
Works with your existing stack
ACCESS GATEWAY

Core Modules - From AI execution to AI Control

The NeuroThrottle system is composed of six tightly integrated control modules, each governing a specific dimension of inference behavior.

POSMTM
Predictive Operational Stability Margin
Estimates real-time system safety headroom and provides control signals using MPC and a sigmoid-mapped control surface across multi-dimensional telemetry inputs.
— Patent Pending
MPCTM
Model Predictive Controller
Performs multi-step horizon rollout to predict system state evolution and optimize inference governance parameters pre-emptively.
— Patent Pending
CBITM
Cost-Budget Index
Quantifies the computational and budgetary cost of each inference, enabling cost-aware policy selection in real time.
— Patent Pending
URRTM
Universal Reasoning Regulator
Dynamically regulates reasoning intensity by adjusting inference depth and computational effort based on system stability signals and operational constraints.
— Patent Pending
CAVTM
Cognitive Activation Vector
Controls token-level attention routing and dynamically allocates reasoning depth per inference request under system-level constraints and optimization objectives.
— Patent Pending
SOCMTM
System Output Constraint Manager
Enforces and validates output-layer constraints, precision bounds, and quality thresholds across all inference tiers and operating modes.
— Patent Pending

Access Profiles

One architecture, three entry modes. Solo is for demonstration, Operator is for builders, Core is for real deployment into AI infrastructure.

SOLO
DEMO / AWARENESS
Best for showing NeuroThrottle visually: POSM, ΔPOSM, Active Mode, Cost, story mode and guided monitoring.
Dashboard access
Storytelling mode
Simple regulation view
Ideal for first contact
OPERATOR
BUILDER / OPERATOR
Adds operational observability, advanced metrics and the path to light API usage for developers and technical teams.
Dashboard + extended metrics
Builder workflow
Operational tuning visibility
API-light usage path
CORE
CORE / MIDDLEWARE
The true product direction: NeuroThrottle Core as middleware, inference governor and cognitive control layer inside large AI systems.
API / SDK / sidecar path
Inference governance
No dashboard dependency
Target for AI providers
REAL CASES

NeuroThrottle in Production

Three controlled deployments. Each turns NeuroThrottle into operational intelligence for a different high-stakes environment — tactical decisions, clinical AI governance, and thermodynamic efficiency for inference systems.

NT·FE
FOOTBALL EDITION

Tactical intelligence for live football decision-makers. Processes real-time match data, player load signals, and historical patterns to generate structured intervention recommendations — with every decision logged and traceable.

Live match signal processing
POSM-SPORT stability scoring
Tactical intervention engine
Club-level data isolation
Access NT Football Edition →
NT·CI
CLINICAL INSIGHT

Diagnostic governance for digital pathology. Integrates WSI analysis, AI orchestration, and POSM-PATH scoring to make AI use in pathology auditable, traceable, and institutionally deployable — PHI never leaves the infrastructure.

POSM-PATH diagnostic stability
Multi-LLM governed orchestration
GDPR · ENS · HIPAA · FISMA ready
Full audit trail · on-premise
Access NT Clinical Insight →
NT·TG
THERMODYNAMIC GOVERNOR

Governance and operational intelligence for AI execution. NT-TG monitors workload pressure, thermodynamic efficiency, and adaptive routing choices so inference systems can preserve useful work while reducing wasteful compute intensity.

Thermodynamic efficiency control
Adaptive routing for inference paths
Operational intensity envelope
Investor / incubator preview access
Access NT Thermodynamic Governor →

⚠ Production environments are credential-protected. To request access write to hello@neurothrottle.com with your name, institution, and area of interest.

GET IN CONTACT

Start Controlling Intelligence, Not Just AI. Request Early Access to NeuroThrottle. We are onboarding select partners for initial deployment

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• Enterprise-ready architecture • Model-agnostic integration • No migration required