Platform Live • 96.93% Clinical Accuracy

Autonomous
Clinical
Intelligence

Move from reacting to health data to anticipating clinical events before they happen.

Interoperly delivers real-time infrastructure powered by Causal AI and a living Digital Twin, transforming fragmented, multimodal data into clear, actionable foresight that scales across care teams and organizations.

Every decision is transparent, auditable, and built to respect patient data sovereignty, by design, not by policy.

See the Platform View Clinical Proof

Causal AI

Explains the "why"

Digital Twin

Simulates outcomes

96.93% Accuracy

Clarke Zone A

HIPAA Compliant

Real-time Processing

FHIR R4 Native

Intervention

Peak prevented

-18 mg/dL

< 50ms

Inference Latency

FHIR R4

Native Standard

100%

Audit Traceability

Zero-Trust

Security

The Intelligence Layer

We are the real-time intelligence layer between your data and your decisions. Interoperly transforms fragmented clinical signals into causal, decision-grade insight, so teams can act earlier, with confidence.

Designed to Augment, Not Replace

Interoperly is not an EHR replacement and not a black-box AI system. We integrate with your workflows and deliver explainable, auditable intelligence, keeping clinicians firmly in control.

Core Platform

From Raw Signal to Clinical Action

We handle the complexity of connection. Our three-layer engine transforms fragmented health data into decision-grade intelligence you can trust.

Intelligence Layer

Decision-Grade Intelligence

It's not enough to predict outcomes. We use Causal AI and physiological simulation to explain why events happen and model what-if scenarios, moving clinical decisions from correlation to causation.

DoWhy PyTorch LSTM

Processing Layer

The Real-Time Nervous System

We normalize high-velocity clinical streams into clean, FHIR R4–native resources in milliseconds, creating a consistent, real-time source of truth across systems.

Redis Feast TimescaleDB

Ingestion Layer

Total Patient Visibility

We unify clinical records with real-world health signals: from EHRs and medical devices to consumer platforms like Apple Health, Google Fit, and Oura, so no critical context is lost and no patient is reduced to partial data.

EHR CGM Apple HealthKit Google Fit Oura HL7

This is the engine behind every prediction, intervention, and decision at clinical scale.

Explainable Causal AI

Predictions without explanation don't belong in clinical care. Interoperly identifies the root cause behind every signal, showing clinicians why a risk is emerging, not just that it exists, so decisions are grounded in evidence, not intuition.

✓ STRUCTURAL_CAUSAL_MODELS
✓ CONFOUNDER_CONTROL
✓ EXPLAINABLE_OUTPUTS

The Living Digital Twin

Care shouldn't rely on trial and error. Interoperly continuously simulates a patient's physiological state, projecting outcomes up to 90 minutes ahead, so teams can evaluate interventions virtually and act before harm occurs.

✓ WHAT_IF_SIMULATION
✓ SYNTHETIC_CONTROL_ARMS
✓ 30-90_MIN_FORECAST

Enterprise Solutions

Beyond Data Viewing.
Intelligent Automation.

Purpose-built capabilities that apply real-time clinical intelligence to healthcare's most complex operational challenges.

Payer / Provider

Automated Pre-Authorization

Modernize pre-authorization workflows. Our Multimodal AI instantly validates medical necessity against payer rules, reducing administrative friction while preserving clinical oversight.

↓80% reduction in administrative overhead

Pharma & Life Sciences

Real-World Evidence (RWE)

Use high-fidelity Digital Twins to simulate patient outcomes and generate Synthetic Control Arms, accelerating clinical insight across diverse populations without waiting years for trial data.

↓10× faster trial insight generation

Chronic Care

Proactive Clinical Interventions

Detect physiological anomalies in real time and trigger interventions 30–90 minutes before an acute event, powered by causal inference, not correlation.

<50ms inference latency

Technical Architecture

Built on FHIR.
Secured by Zero-Trust.

Enterprise-grade infrastructure designed for reliability, interoperability, and clinical trust.

Event-Driven by Design

Our distributed microservices architecture processes clinical events in real time, ensuring signals flow reliably from ingestion to decision without bottlenecks or delays.

One Platform. Every Signal.

We ingest and normalize structured and unstructured data: FHIR R4, HL7 v2, voice, documents, and images, into a unified clinical context without manual intervention.

Security You Don't Have to Second-Guess

End-to-end encryption, immutable audit logs, and standards-based authentication are built into the platform, supporting compliance from day one, not as an afterthought.

Built to Scale with Care Delivery

Our cloud-native orchestration supports elastic growth and resilient deployments, allowing the platform to scale with patient volume and operational demand.

We run where you run.

Cloud (Multi-tenant)

Rapid deployment at scale

Cloud (Single-tenant)

Total isolation, fully managed

Hybrid

Bridge your legacy systems

On-Premises

Intelligence behind your firewall

ingestion_pipeline.py

                        async def process_stream(event: HealthEvent):
    # 1. Normalize to FHIR R4
    fhir_resource = await fhir_converter.transform(
        event.payload,
        standard="R4"
    )
    
    # 2. Run Causal Inference
    causal_graph = await dowhy_engine.infer(
        treatment='medication_x',
        outcome='glucose_variability',
        confounders=['sleep', 'stress']
    )
    
    # 3. Trigger Payer Workflow
    if causal_graph.effect > THRESHOLD:
        await payer_gateway.submit_auth(
            fhir_resource,
            evidence=causal_graph
        )
                    

Data Governance & Trust

Patient Data Sovereignty.
By Design.

Enterprise-grade governance designed to protect patient rights, satisfy regulators, and earn long-term trust.

True Data Ownership

Patients retain control over their health data through configurable access, retention, and sharing policies, aligned with clinical and regulatory requirements.

Consent-Aware by Design

Consent is enforced at the data-field level, ensuring every use of patient data aligns precisely with what was authorized, automatically and continuously.

Unbroken Chain of Custody

Every data point is fully traceable, from origin through transformation, creating a complete, immutable audit trail you can query at any time.

Right to Revoke

Patients can withdraw consent or request deletion with a single action, propagated consistently across the platform to prevent residual or orphaned data.

Standards & Compliance

FHIR R4

Native

HL7 v2

Supported

HIPAA

Compliant

SOC-2

Ready

HITRUST

Aligned

Proven in Production

Proven in Production:
Diabetes Management

We built a fully operational diabetes care platform to demonstrate how Interoperly performs under real clinical conditions.

This production system handles continuous CGM streaming, sub-minute inference, and real-time interventions, achieving 96.93% Clarke Zone A accuracy in live patient workflows.

✓ Live CGM Integration: Dexcom G7 and Abbott Libre 3

✓ Clinical Accuracy: 96.93% Clarke Zone A

✓ Predictive Foresight: 30–90 minute forecasting window

✓ Context-Aware Interventions: Real-time, AI-assisted coaching

iOS Swift TimescaleDB Apple HealthKit

Prediction Accuracy

96.93%

Clarke Zone A

Forecast Window

30-90

minutes ahead

Company

Built by Healthcare Technologists

Interoperly exists to amplify clinical intelligence with AI, not replace it.

Dawit Hailu

Founder & CEO

12+ Years Tech & Program Leadership • AI (UC Berkeley) • Development Studies (Leeds)

"I approach healthcare as a development challenge, applying economic incentives and Causal AI to modernize the fragmented systems we all rely on."

San Francisco Bay Area, CA

Autonomous Clinical Intelligence