MAMU AI INC.

Expanding Access to Frontline Healthcare Anywhere, Anytime.

Healthcare Capacity Infrastructure, Powered by Clinical Reasoning AI.

A network of Mamu AI Edge Health Stations connecting emergency departments, primary care clinics, pharmacies, workplaces, and rural communities through Clinical Reasoning AI

Mamu AI is developing autonomous Clinical AI Edge Health Platforms designed to expand frontline clinical capacity by enabling patient self-intake, assessment, diagnostic workflows, and safe escalation in workforce-constrained healthcare environments.

About Us See the Technology

ABOUT MAMU AI

Worcester, Massachusetts. Early-stage health technology, building healthcare delivery infrastructure.

Mamu AI Inc. is an early-stage health technology company based in Worcester, Massachusetts, developing a new category of healthcare delivery infrastructure.

Our mission is to expand access to timely frontline healthcare in communities and healthcare facilities affected by workforce shortages, hospital closures, and limited healthcare delivery capacity.

We are building autonomous Clinical AI Edge Health Platforms designed to expand frontline assessment capacity within existing healthcare systems—starting in Nigeria.

OUR VISION

Others are building fully autonomous cars. We are building a semi-autonomous Clinical AI to expand capacity—one that knows when it is safe to act independently and when to immediately hand control to a physician.

Bounded Autonomy

Physician Escalation

WHERE WE START

A Global Mission. A Focused Beachhead in Nigeria.

We are building a Clinical AI platform designed for deployment across regulated healthcare markets, beginning in Nigeria. Our work in Nigeria is not simply about one geography; it is about developing platform capabilities that transfer across markets. Nigeria provides an important proving ground for a Clinical AI platform designed to operate in workforce-constrained and low-connectivity healthcare environments.

Proving GroundInnovation EnvironmentStrategic Starting Point

Nigeria

THE PROBLEM WE'RE OBSESSED WITH

Healthcare overwhelmed by patient demand.

Healthcare systems around the globe face significant capacity challenges. Clinicians are overworked, queues stretch for hours, and demand exceeds available capacity. Patients are leaving overburdened emergency departments without being seen. For many patients, the prospect of spending hours waiting for care has itself become a barrier to seeking care.

This isn't only a workforce shortage. It's an infrastructure capacity problem.

And we're building the fix.

TRUE NORTH

Physician-grade clinical assessment — in under 35 minutes — without the traditional wait.

The Shift

AI clinical reasoning + edge computing + hardware = a new care-delivery paradigm for resource-constrained systems.

The Solution

A regulated Clinical AI platform delivered through patient-operated, multilingual, voice-based Edge Health Platforms for universal assessment, bounded autonomy, and physician escalation.

The Promise

Every patient is seen — no waits, no one turned away, even after hours. Common, low-risk conditions resolved autonomously on the spot. Everything else reaches a physician fully worked up, not from a blank slate.

THE ANTIDOTE

The Clinical AI Edge Health Platform

A patient-operated, on-premise, offline-capable Clinical AI platform designed to deliver structured clinical assessment within existing hospital workflows without requiring equivalent increases in clinical staffing or facilities. It integrates physiological sensors and rapid point-of-care diagnostics to capture objective measurements and interpret rapid test results.

Mamu AI Clinical AI Edge Health Platform, a patient-operated diagnostic kiosk with integrated vitals sensors

Concept rendering — final device design in development.

Voice

Guided voice interaction enables patient self-service through the assessment workflow.

Built to augment existing clinical workflows—not replace them.

Old Way vs. New Way

✕The Old Way

Arrive→Registration Queue→Triage Queue→Consultation Queue→Hours Lost→Potential Turn-Away

Fragmented, manual workflows with repeated queues, limited structured data, and mounting staff workload.

✓The New Way

Walk Up→Speak→Guided Intake→Vitals→Clinical Assessment→Autonomous Disposition or Physician Escalation

Target: under 35 minutes.

Expands Capacity

Designed to provide faster frontline assessment without requiring equivalent increases in clinical staffing or facilities.

Safety by Design

Risk-bounded autonomy with deterministic physician escalation and patient handover.

Always On

Offline-capable edge deployment designed for after-hours and low-connectivity environments.

OUR DESIGN PHILOSOPHY

Offline Doesn't Mean Less Capable

Imagine a physician without a phone, laptop, or internet connection, posted in a remote village. Equipped with training, experience, and hands-on clinical tools—a stethoscope, thermometer, and diagnostic instruments—they can still assess patients.

That is the principle behind our Clinical AI Edge Health Platform: frontline clinical capability that doesn't depend on connectivity to function.

Remote Environment

Clinical Tools

Local Computation

Clinical Reasoning

Safe Decision / Escalation

TECHNOLOGY

Edge Computing + Sensors + Clinical Intelligence

Mamu AI Clinical AI Edge Health Platform product demonstration

Concept rendering — final device design in development.

Offline by Design

Runs entirely on-device—no internet or cloud connection required.

Patient-Operated

Guided voice interaction enables patient self-service through the assessment workflow.

Multimodal Clinical Assessment

Integrates physiological sensors, vital-sign monitoring, imaging/other modalities where applicable, and point-of-care diagnostics.

Safety-First Clinical AI

Clinical autonomy operates within predefined boundaries with escalation when those boundaries are exceeded.

HOW IT WORKS

A clinical journey, simulated.

System StatusPROCESSING

01of 07

Patient walks up

THE CAPABILITY

The Team Built for This Problem

A multidisciplinary founding team and advisory group combining Clinical AI, software and hardware engineering, implementation science, clinical medicine, healthcare, and biotech experience.