Opmed.AI

Operating Room Scheduling and Management

Health Tech & Life Sciences
Private

Company Overview

Snapshot

Founded in January 2020 by Mor Brokman, Dr. Mor, Amos Haggiag, Prof. Baruch, Avi Paz, and Baruch Barzel, Opmed.AI operates with 11–50 employees. The company has raised $15.98 million across 4 funding rounds from 6 investors. In May 2024, Opmed.AI secured Series A funding.

Business overview

Opmed.AI develops AI and network science solutions for optimizing operating room (OR) scheduling and management. The company's core technology illuminates the intricate interdependencies within an OR, moving beyond conventional scheduling methods that view procedures as isolated blocks. By providing a dynamic network view of the OR, Opmed.AI empowers healthcare providers to make strategic decisions, optimize resource allocation, predict disruptions, and adapt to rapidly shifting circumstances. It operates in the Health Tech & Life Sciences sector, specifically within Digital Healthcare and Clinical Workflow, serving hospitals and healthcare providers in markets such as the United Kingdom and the United States.

Strategic signal

In May 2024, Opmed.AI secured $15 million in Series A funding. This significant capital infusion signals strong investor confidence in the company's AI-driven approach to healthcare operations, particularly in optimizing complex operating room environments. The funding validates Opmed.AI's potential to drive efficiency and strategic decision-making in the healthcare industry, positioning it for accelerated growth and market expansion.

Company Intelligence Q&A

What was Opmed.AI's most recent funding event?
In May 2024, Opmed.AI secured Series A funding, raising $15 million. Investors in this round included UnBox Ventures and Secret Chord Ventures.
Who are the founders of Opmed.AI?
Opmed.AI was founded by Mor Brokman, Dr. Mor, Amos Haggiag, Prof. Baruch, Avi Paz, and Baruch Barzel.
What is Opmed.AI's primary focus?
Opmed.AI focuses on optimizing operating room scheduling and management using AI and network science to account for the complex interdependencies within an OR, enabling strategic decision-making and resource optimization for healthcare providers.

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