Unlearn AI

Unlearn AI

Creates AI-driven digital twins for healthcare

About Unlearn AI

Simplify's Rating
Why Unlearn AI is rated
A-
Rated B on Competitive Edge
Rated A on Growth Potential
Rated A on Differentiation

Industries

AI & Machine Learning

Healthcare

Company Size

51-200

Company Stage

Series C

Total Funding

$130.7M

Headquarters

San Francisco, California

Founded

2017

Overview

Unlearn.AI creates digital twins of patients using artificial intelligence, which are virtual replicas that simulate potential health outcomes. This technology allows healthcare providers to predict how a patient's health may change over time, leading to more informed treatment decisions. The primary clients include healthcare providers and pharmaceutical companies, who can use these digital twins in clinical trials to replace traditional control groups, potentially speeding up drug development and approval processes. Unlearn.AI operates in the digital health market, offering its AI-powered simulation technology through a service or subscription model. The goal is to enhance decision-making in patient care and drug development by providing precise health outcome predictions.

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Simplify's Take

What believers are saying

  • AI adoption in clinical trials is projected to grow significantly by 2034.
  • Digital twins in healthcare market expected to reach $59.94 billion by 2030.
  • Unlearn's collaboration with ProJenX showcases real-world application of its technology.

What critics are saying

  • Rapid market growth may attract competition, threatening Unlearn AI's market share.
  • High clinical trial failure rates could impact Unlearn AI's partnerships.
  • Crowded AI-based clinical trial market requires continuous innovation from Unlearn AI.

What makes Unlearn AI unique

  • Unlearn AI's TwinRCT uses digital twins to enhance clinical trial precision.
  • The company integrates machine learning with biostatistics for improved trial outcomes.
  • Unlearn AI's digital twin technology reduces the need for human control groups.

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Funding

Total Funding

$130.7M

Above

Industry Average

Funded Over

5 Rounds

Notable Investors:
Series C funding is usually for startups that are doing well and are looking for more money to fuel major growth, such as acquiring other companies, expanding into global markets, or launching new product lines. Investors typically include larger venture capital firms and private equity.
Series C Funding Comparison
Meet Average

Industry standards

$50M
$50M
Medium
$50M
Unlearn AI
$62M
SeatGeek
$100M
Oura

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Paid Holidays

Commuter Benefits

Paid Parental Leave

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

↓ -1%

1 year growth

↑ 3%

2 year growth

↑ 9%
PR Newswire
May 5th, 2025
Digital Twins In Healthcare Market Worth Us$59.94 Billion By 2030 With 68.0% Cagr | Marketsandmarkets™

DELRAY BEACH, Fla., May 5, 2025 /PRNewswire/ -- The global Digital Twins in Healthcare Market, valued at US$2.69 billion in 2024, is forecasted to grow at a robust CAGR of 68.0%, reaching US$4.47 billion in 2025 and an impressive US$59.94 billion by 2030. Several factors are expected to drive market growth in the coming years, including increased investments from public and private entities, the expanding applications of digital twins, and technological advancements. AI and machine learning algorithms can help analyse and interpret large volumes of data, identify trends, and forecast outcomes, particularly as data from sources like healthcare providers and payers become more accessible. Additionally, collecting real-time patient data through the Internet of Things (IoT) can enhance remote monitoring and accelerate decision-making.Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=74014375Browse in-depth TOC on "Digital Twins in Healthcare Market"226 - Tables55 - Figures254 - PagesBy Based on type, the digital twins in healthcare market is segmented into process twins, system twins, whole body twins, and body part twins. The process twins segment accounted for the largest share of the market in 2024. The key factors contributing to the growth of this market include advancements in technology, improved data availability, and the increasing demand for personalized, efficient, and predictive healthcare delivery

PharmaData
Apr 9th, 2025
Unlearn Appoints Krates Ng as Chief Technology Officer

Unlearn appoints Krates Ng as Chief Technology Officer to lead next phase of technological and operational expansion.

Business Wire
Apr 8th, 2025
Unlearn Appoints Krates Ng as Chief Technology Officer

Ng joins Unlearn after serving as the Chief Technology Officer at ProducePay since December 2021.

PR Newswire
Dec 17th, 2024
Artificial Intelligence In Clinical Trials Market To Hit Us$ 2.74 Billion By 2030 With 12.4% Cagr | Marketsandmarkets™.

DELRAY BEACH, Fla., Dec. 17, 2024 /PRNewswire/ -- The global artificial intelligence in clinical trials market is forecasted to grow steadily from US$1.20 billion in 2023 to US$1.35 billion in 2024, ultimately reaching an impressive US$2.74 billion by 2030, driven by a robust CAGR of 12.4%. Some of the key elements fueling the expansion of the AI in clinical trials market, are the high rate of clinical trial failures, the increasing need of anticipating drug pharmacokinetics, pharmacodynamics, and management of toxicity. According to a research article published by the National Library of Medicine in February 2022, the drug discovery and development process takes about 10-15 years for a new drug to be approved for clinical use. And 90% of the drug candidates fail during the phases I, II, and III of clinical trials and drug approvals. The reasons that may result in failure include but not limited to effectiveness in a clinical setting, high levels of toxicity that cannot be managed, suboptimal drug-like characteristics, a lack of real commercial drivers, and poor strategic design

Clinical Trials Arena
Sep 27th, 2024
ProJenX and Unlearn partner to use AI-generated digital twins in ALS trial

Clinical-stage biotechnology company ProJenX has announced a collaboration with Unlearn to implement generative AI technology for a Phase I PRO-101 trial of prosetin, a potential amyotrophic lateral sclerosis (ALS) treatment.

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