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MARMAR Health, Inc.

MARMAR provides an AI-powered medication safety platform that checks a person's complete medicine list—including prescriptions, over-the-counter drugs, vitamins, and herbal mixes—against curated references to flag interactions, dosage concerns, and monitoring needs in plain language. The consumer app includes a voice assistant called Yasmar, label scanning, and shareable doctor-note PDFs, while a Co-Pilot API integrates the same checks into electronic health record systems for sub-second clinical decision support at prescribing time. The service is available in English and Arabic, with free medicine checks and an optional MARMAR Pro subscription.

Traction 5/10
Delaware, United States · HQ
Founded 20248100+ followers
  • Healthcare Technology
  • Digital Health
  • Artificial Intelligence
  • AI Agents
  • Software Only
Updated 5 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Medication errors—particularly dangerous drug interactions, incorrect dosages, and missing monitoring—are a leading cause of preventable hospital admissions. Studies show that regimens of five or more medications carry a roughly 30% error rate, rising to 47% for ten or more, and these errors often go undetected until a patient lands in the hospital. Patients managing complex regimens at home and clinicians writing orders in fast-paced environments both lack a systematic, real-time safety check.

Solution

MARMAR provides an AI-powered medication safety platform that catches risky combinations before they cause harm. The consumer mobile app lets patients build a complete medication profile by typing a drug name or scanning a label, then runs every medication against a curated knowledge base to flag interactions, dosage concerns, and monitoring needs in plain language. Its voice assistant, Yasmar, answers questions about symptoms and medications conversationally, and a daily check-in tracks how the patient feels over time. For healthcare organizations, the MARMAR Co-Pilot API integrates directly into electronic health record systems, flagging risky orders in under a second at prescribing time, explaining the clinical rationale, and suggesting safer alternatives. The platform generates shareable safety reports and doctor-note PDFs so patients and providers stay aligned.

Target Audience

Primary customers are health systems, hospitals, and clinics seeking to reduce preventable medication-related admissions through EMR-integrated safety alerts, as well as individual patients and caregivers managing complex medication regimens who want a pocket-sized safety companion.

Features

  • Real-time drug interaction checking that compares every medication against a curated knowledge base, covering not just pairwise interactions but regimen-level risks like dosage appropriateness and monitoring needs
  • Voice-based assistant "Yasmar" that knows the user's medication list and health history, enabling natural conversation about symptoms, side effects, and what to watch for, with a free monthly allowance of calls
  • EMR-embedded Co-Pilot API that delivers clinical decision support alerts at the moment of prescribing, with sub-second response time, cited evidence, and alternative medication suggestions
  • Medication label scanning that uses on-device text recognition to identify drug names without uploading label images to servers
  • FHIR-compatible API architecture with tenant-scoped authentication, async risk assessment, and signed webhooks for downstream reconciliation in enterprise workflows
  • Daily check-in and symptom journaling that track patient-reported outcomes over time and surfaces patterns clinicians can use in care decisions
  • Doctor-note PDF generation that compiles the user's medication profile, safety analysis, and symptom trends into a shareable document for healthcare visits
  • Available in English and Arabic, supporting guest profiles so family members or caregivers can check medicines for someone in their care
This profile is AI-generated and may contain inaccuracies.