Clinical Reasoning, Reimagined.

A dedicated AI assistant that synthesizes complex patient data into transparent, evidence-based diagnostic pathways—helping clinicians reduce cognitive load and improve patient outcomes.

Evidence-Based

Cites clinical data

Accuracy

Precision Logic

Clinician Led

Doctor Designed

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Disclaimer: This tool provides AI-assisted clinical decision support. It is not a replacement for clinical judgment. All outputs must be verified by a licensed clinician before making medical decisions.

Aethelq AI Dashboard Interface

Bridging the gap
between clinical data
and AI logic.

Modern medicine produces terabytes of data per patient — laboratory results, imaging, clinical narratives, wearable devices, and fragmented EHR systems. Yet clinicians still rely on mental heuristics, disconnected workflows, and information overload.

Aethelq AI ingests the complete clinical picture and generates transparent, evidence-based reasoning aligned with how experienced clinicians think. Not a black box — a trusted clinical partner that shows its work, cites evidence, and supports safer decision making.

Unified Context

Labs, imaging, notes and observations fused into a single intelligent timeline.

Transparent Logic

Every recommendation traces directly back to clinical evidence and reasoning.

Instant Triage

Within seconds of patient intake, Aethelq AI stratifies acuity, flags critical red flags including Sepsis, STEMI, Stroke and other life-threatening conditions, then recommends the next best evidence-based clinical action calibrated to your institution's protocols.

Sepsis Detection
STEMI Recognition
Stroke Alerts
AI Risk Stratification
To Triage

8s

Critical Screens

12+

Verification

Dual-LLM

Clinician Triage Engine
ECG Active
Acuity Level EMERGENCY (Level 1)
Stroke Alert

Evidence-Based Reasoning

Every recommendation cites peer-reviewed sources, clinical guidelines, and the patient’s own data — fully auditable, one click away.

Zero Data Retention

Patient data never leaves your environment. Inference is stateless and ephemeral.

Auto Documentation

Referral letters, SOAP notes, and discharge summaries are drafted in the clinician’s own voice.

Referral Letter
SOAP Note
Discharge Summary
Diagnosis: Suspected Infective Endocarditis
Discharge Instructions: Review labs weekly. Adhere to oral antibiotic plan. Attend clinic in 2 weeks.

Modified Duke Criteria Integration

Native support for diagnostic frameworks clinicians already trust — Duke, Wells, CHADS-VASc, CURB-65, and 40+ more, always current.

Duke Wells CHADS-VASc +40 more
Enterprise Solutions

Enterprise & On-Premises AI.
Let's build it together.

For hospitals and clinics with strict security requirements, we're developing sovereign and on-premises deployment options tailored to your protocols. Reach out and help shape the roadmap.

On-Premises Deployment in development

We're building toward air-gapped deployment for institutions that need patient data to stay entirely within their own infrastructure. Tell us your timeline and requirements.

Custom Clinical Protocols

We can tailor the reasoning engine's guideline set to your institution's protocols and formulary as part of an enterprise engagement. (This one's real and deliverable today — the frameworks are already configurable, this is manual clinical/engineering work, not a fabricated feature.)

EHR Integration in development

HL7/FHIR connectivity to ingest patient context directly from your EHR is on our roadmap. Let us know which systems you run.

Request a Consultation

Speak with our engineering team about deploying Aethelq AI in your clinical environment.