The Future of Clinical AI is Insurable

We are the architects of Insurable AI,

engineering hardware-enforced

accountability and causal reasoning

at the clinical edge.

STAGE I

INGEST

The Probabilistic Harmonization Engine (PHE) ingests heterogeneous, "noisy" data from all sources (EHR, Omics, Wearables). It is a "canonical data engine" that solves the "garbage-in, garbage-out" problem by creating high-fidelity "Probabilistic Patient Digital Twins"

STAGE II

ANALYZE

The Federated Subgroup Analysis (FSA) architecture runs "Clustered Federated Learning" across our distributed network. This "weaponizes heterogeneity" to create "High-Fidelity Pooled Subgroup Models" from the digital twins.

STAGE III

SIMULATE

The Causal Hypothesis Ensemble (CHE) engine runs its generative, N-of-1 HPC query against one of these specific, high-fidelity subgroup models. This "causal simulation" produces the final, low-liability "Ranked Differential Diagnosis" for the clinician.

Pillar 1

THE "MODEL FACTORY" FEDERETED SUBGROUP ANALYSIS (FSA)

This is our advanced "Clustered Federated Learning" (CFL) model. Instead of one "global model," the FSA "weaponizes heterogeneity" by discovering "statistically distinct patient subgroups" across our network. It then trains "specific, high-fidelity 'pooled subgroup models'" using data that "never leaves the hospital's secure environment," solving the "data-hoarding" problem.

Pillar 2

THE "SIMULATION ENGINE" CASUAL HYPOTHESIS ENSEMBLE (CHE)

This is our core, patent-backed "low-liability simulation engine". It is not a predictive "black box". The CHE performs a "generative and simulation-heavy task" to answer the N-of-1 "what if" query. Instead of a single, high-liability "answer," the CHE generates a "ranked differential diagnosis of multiple, competing causal hypotheses" for "human adjudication".

The Architectural Breakthrough: A Symbiotic, Patent-Backed Platform Builded on a Hardware-Enforced Infrastructure

ARCHITECTURE 1

N-of-1 SIMULATION

ARCHITECTURE 2

CASUAL SIMULATION

ARCHITECTURE 3

ZERO-HALLUCINATION

ARCHITECTURE 4

FEDERATED ARCHITECTURE

ARCHITECTURE 5

DATA GOVERNANCE

ARCHITECTURE 6

WEAPONIZES HETEROGENEITY

THE PLATFORM
The Engine of the Next Clinical Ai Revolution
Powered by NVIDIA

Clintrue’s selection for the NVIDIA Inception Program serves as the precise computational accelerator for our Probabilistic Harmonization Engine (PHE). Backed by dedicated edge silicon, we deploy a Zero-Hallucination and Cloud-based Liability Simulation Engine driven by our proprietary Causal Hypothesis Ensemble (CHE).

This hardware-enforced scale allows us to operationalize data heterogeneity, seamlessly transforming fragmented health silos into high-fidelity Probabilistic Patient Digital Twins (PPDTs) and creating a single, forensically traceable computational reality for every patient.

Built on this deterministic foundation, Clintrue is moving beyond retrospective data matching to achieve predictive biological simulation. By aggressively stress-testing our architecture against the entire history of U.S. clinical trials, we are proving the "impossible query"—complex, multi-variable syntheses that historically required weeks of manual epidemiological research—can now be executed in seconds with 95% real-world accuracy. We provide a definitive mathematical source of truth where precise clinical outcomes are simulated and mapped before the first dose is ever administered.

In this critical shift from baseline correlation to true biological causality, enterprise trust must be built on cryptographic rigor rather than basic software reliability. Clintrue implements a strict Forensic Attribution Ledger that establishes an immutable chain of custody for every processed data point. We do far more than secure data; we guarantee the causal integrity of high-dimensional, standardized tensor representations. This architecture provides the unassailable legal and scientific defensibility required to mitigate enterprise liability and accelerate elite clinical adoption.

Clintrue: The Next-Generation Pharmacovigilance & Clinical Decision Support Platform

Continuous Risk-Benefit Calibration for sustained, 12-month patient outcome achievement.

The future of autonomous medicine requires more than correlational data—it demands rigorous, causal reasoning and absolute regulatory transparency. Clintrue is a Multi-Modal Safety Platform that acts as a proactive guardrail against Adverse Drug Events (ADEs). By dynamically weighing foundational trial efficacy against evolving physiological markers, we ensure safe, evidence-backed prescribing for every patient.

Proactive Risk Screening: Intervening immediately prior to finalizing prescriptions to identify safety outliers.
Ongoing Management: Continuously adapting to evolving patient data over 12-month care periods.
Explainable AI (XAI): Generating transparent, human-readable audit trails for 100% regulatory compliance.

Driving Outcome-Aligned Payment (OAP) Targets in CKM Care

Clintrue specifically targets the Early Cardio-Kidney-Metabolic (eCKM) and Cardio-Kidney-Metabolic (CKM) clinical use areas. Our platform supports sustained outcome achievement by preserving the Outcome Attainment Threshold (OAT) through advanced clinical risk mitigation.

Supported ACCESS OAP Measures:

Blood Pressure (BP) Control: Supporting a final systolic BP < 130 mmHg or a 15 mmHg reduction for patients with hypertension.
LDL-C Management: Targeting a final LDL-C < 100 mg/dL (or < 70 mg/dL) or a 30 mg/dL reduction in dyslipidemia and ASCVD patients.
Weight Reduction: Driving a final BMI < 30 kg/m² or a 5% weight reduction for patients with obesity.
HbA1c Reduction: Achieving a final HbA1c < 6.5% (or < 7.5%) or a 1.0% point reduction for prediabetes and established diabetes mellitus.

A Glimpse Into Our Regulatory-Grade Momentum

70+

PATENTS & CLAIMS

NEURO-SYMBOLIC

PLATFORM

# ONTOLOGY

HALLUCINATION %

The Next-Generation Pharmacovigilance System

A Breakthrough in Zero-Hallucination Clinical Decision Support

Zero-Hallucination Architecture

Deterministic Safety Engine

Zero-Touch ICSR Automation

Real-Time Signal Detection

Radical Explainability (XAI)

Explainable AI & Zero-Touch ICSR Automation

Regulatory bodies demand absolute transparency. Clintrue anchors its entire architecture in Explainable AI (XAI) and strict Human-in-the-Loop (HITL) protocols. We eliminate the "black-box" approach to clinical AI, ensuring the Qualified Person for Pharmacovigilance (QPPV) retains ultimate authority over all safety decisions

Who We Are

The Liability Shield for Clinical Ai

Auditable. Governable. Insurable.

Our Vision & Mission

The Insurable, Secure Healthcare Platform

The Vision

Transitioning global healthcare from opaque cloud oracles to autonomous edge governance.

We envision a medical ecosystem where clinical AI is universally governable, forensically auditable, and commercially insurable. By dismantling the economic bottleneck of black-box algorithms, we strive to make advanced clinical modernization technologically feasible, legally safe, and financially secure.

The Mission

To replace uninsurable, correlational AI with rigorous, causal reasoning through a foundational Governance-by-Design architecture.

To achieve this, we are committed to:

Deploying Verifiable Decision Support: Equipping high-stakes healthcare environments with the Probabilistic Patient Digital Twin and the Causal Hypothesis Ensemble to generate low-liability insights that explicitly respect biological uncertainty.

Guaranteeing Hardware-Enforced Sovereignty: Providing hospitals and insurers with an unbroken, non-repudiable chain of custody for every algorithmic action through local execution and an immutable Forensic Attribution Ledger.

Driving Immediate Capital Efficiency: Targeting administrative bureaucracy first to generate immediate value, while systematically scaling our architecture to serve as the ultimate liability shield for complex, autonomous clinical diagnostics.