AI preventive care platform

The pre-visit intelligence layer for modern healthcare.

Aevum doesn’t replace your doctor. It makes you a better patient.

Aevum helps patients organize symptoms, upload health context, prepare for visits, and share a structured brief with clinicians before care begins. We are raising $150K to prove the concept and build the MVP.

AI-assisted, not AI-replacement Clinician review by design HIPAA-ready roadmap
AEVUMVisit brief ready
9:41PRE-VISIT

Your visit brief is ready.

Symptoms, timeline, medications, uploads, and questions are organized for clinician review.

SymptomsFatigue, headache, mild dizziness for 3 days.
FilesCBC lab, medication list, skin photo, prior visit PDF.
Lab test
added
Scan report
optional
Skin photo
added
Eye/face photo
optional
Safety boundaryMonitoring context only. Clinicians make decisions.

One product loop. Two sides of the healthcare visit.

Aevum starts with the highest-friction moment: the patient trying to explain what happened and the clinician trying to reconstruct it.

1

Capture the story

Conversational intake collects symptoms, duration, severity, medications, allergies, and goals for the visit.

2

Add health context

Patients upload labs, scan reports, records, skin photos, eye/face photos, and medication lists.

3

Prepare the handoff

Aevum generates a patient-readable visit plan and clinician-ready summary before the appointment.

For clinics: less intake chaos before the appointment.

Provider workflows are built around reviewability, not automation theater. The doctor remains the decision-maker.

Patient pre-visit flow
AI intakeDynamic questions and red-flag escalation.
UploadsLabs, scans, photos, and documents with consent.
Visit briefTimeline, medications, questions, and context.
Provider dashboard
Sarah K.Fatigue, 3 daysBrief ready
James R.Chest discomfortEscalate
Emily T.Follow-upRoutine
Clinical summaryStructured history, uploaded context, and suggested questions for review.

Built narrow first. Designed to become the health memory layer.

We start with visit preparation, then expand into longitudinal tracking and safe monitoring workflows.

MVPPre-visit copilot

Profile, AI intake, uploads, visit brief, provider dashboard.

V2Health memory

Timeline, labs, medication tracking, reminders, wearable signals.

V3Monitoring layer

Skin, eye, face, posture, and body-change tracking with review prompts.

PlatformCare coordination

Routing, telehealth, clinic workflows, and longitudinal context.

EnterprisePreventive programs

Employer, insurer, chronic care, and population health workflows.

Trust-first AI boundaries.

Aevum is designed to assist, summarize, prepare, and route. It does not diagnose, prescribe, or replace clinical judgment.

Red-flag escalation

Chest pain, difficulty breathing, stroke indicators, severe allergic symptoms, and self-harm language are escalated.

Clinician review

Summaries and monitoring prompts are reviewable and editable by licensed providers.

Consent controls

Uploaded files and health context are shared only with selected care teams.

Clear language

Outputs use uncertainty language and care-seeking guidance, not definitive diagnosis claims.

Clinical research

Help shape the workflows Aevum should actually solve.

Select your role, answer the questions that matter to your workflow, and submit feedback directly into our research pipeline.

Primary Care Doctors

Specialists

Urgent Care Providers

Nurses / Care Coordinators

Clinic Administrators / Operations

Answers are used for customer discovery and MVP prioritization. Please do not include protected health information or patient identifiers.

Pilot waitlist

Help build the better pre-visit experience.

Join as a patient, clinician, clinic partner, advisor, or investor. We are raising a lean $150K validation round to build the MVP and secure design-partner proof.

After deployment, submissions will appear in the Netlify Forms dashboard and can be exported as CSV.