MilagroAI

Company Overview

Snapshot

Founded in November 2011 by Amit May-Dan and Greg Hobbs, MilagroAI operates with 51–200 employees. The company has raised a total of $10.43M across 8 funding rounds from 6 investors. In January 2024, MilagroAI secured convertible debt funding, with Dreamit Ventures participating as a lead investor.

Business overview

MilagroAI specializes in automating medical coding processes within the Health Tech & Life Sciences sector. The company's core technology leverages artificial intelligence, machine learning, and natural language processing to address challenges such as down-coding, denials, and the shortage of medical coders. MilagroAI's solutions are designed for healthcare providers, including hospitals, and operate on a B2B model, serving markets in the United States and Israel.

Strategic signal

MilagroAI's continued ability to secure funding, with its January 2024 convertible debt round led by Dreamit Ventures, signals ongoing investor confidence in its autonomous medical coding technology. This indicates a strong market validation for its AI-driven solutions that streamline healthcare operations and address critical industry pain points, suggesting a positive trajectory for growth and market penetration.

Company Intelligence Q&A

When was MilagroAI founded and by whom?

MilagroAI was founded in November 2011 by Amit May-Dan and Greg Hobbs.

What is MilagroAI's primary focus?

MilagroAI focuses on automating medical coding processes to eliminate challenges associated with down-coding, denials, and the growing shortage of medical coders.

What was MilagroAI's most recent funding event?

In January 2024, MilagroAI secured convertible debt funding, with Dreamit Ventures participating as a lead investor.

Which investors participated in MilagroAI's May 2022 funding round?

In May 2022, MilagroAI received seed funding from Crescendo Venture Partners and Dreamit Ventures.

What type of technology does MilagroAI utilize?

MilagroAI leverages artificial intelligence, deep learning, and natural language processing to power its autonomous medical coding solutions.