- Revenue
- $9.9M
- Year founded
- 2021
- Team size
- 66
Top 16 Clinical Decision Support SaaS Companies With $5M–$10M Revenue (September 2026)
As of September 2026, Latka tracks 16 clinical decision support SaaS companies with $5M–$10M in annual revenue. They have combined revenues of $117.8M and employ 992 people. They have raised $346.3M.
Every company below sells clinical decision support software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Clinical Decision Support SaaS Companies do
Clinical Decision Support (CDS) systems are advanced software applications designed to assist healthcare professionals in making informed clinical decisions. By integrating patient data with clinical knowledge and guidelines, these systems provide tailored recommendations for diagnosing, treating, and managing patient care. Typical features include alert systems for drug interactions, clinical reminders, diagnostic support tools, and analytics that leverage large datasets to improve healthcare outcomes. The primary users of clinical decision support systems include physicians, nurses, and other healthcare professionals involved in patient care. By utilizing these systems, medical practitioners can enhance the quality of care they provide, reduce errors, and streamline workflows. Common workflows may include patient assessment, decision-making based on evidence-based guidelines, and ongoing patient monitoring, all aimed at ensuring optimal patient outcomes.
- Companies
- 16
- Revenue
- $117.8M
- Funding
- $346.3M
- Employees
- 992
Filters
Sorting: Highest -> Lowest
Top Clinical Decision Support SaaS Companies With $5M–$10M Revenue
Showing 10 of 16 companies ranked by annual revenue.
2
PhotoniCare
Durham, North Carolina, United States
PhotoniCare is a medical device company that develops diagnostic tools to improve clinical outcomes and address unmet patient needs, particularly focusing on ear health with its OtoSight Middle Ear Scope.
- Revenue
- $9.8M
- Year founded
- 2015
- Team size
- 25
3
SeqOne
Montpellier, Occitanie, France
Founded in 2017, SeqOne Genomics headquartered in Montpellier, France, is a fast-growing deep-tech company focused on turning genomic data into medically actionable insights in oncology, rare and inherited diseases. SeqOne clinical genomic analysis platform, powered by explainable AI, provides genomic labs and healthcare professionals with best-in-class accuracy, usability, and automation seamlessly across lab technologies. By streamlining complex multi-omics analysis workflows, we pave the way for a new era of personalized healthcare at scale, where genetic testing becomes as routine as traditional blood work, radically enhancing health outcomes for all. The company has won numerous awards, including the iLab award and the ARC Cancer Foundation’s Hélène Stark prize. It has been nominated twice for the prestigious Prix Galien award. Investors include Elaia, IRDI Capital Investissement, Merieux Equity Partners, Omnes, and Software Club.
- Revenue
- $9.5M
- Year founded
- 2017
- Team size
- 86
4
CancerIQ
United States
Web-based app for oncologists to collect and compare genetic data from cancer patients, aiding in risk identification and preventative care.
- Revenue
- $9.2M
- Year founded
- 2013
- Funding
- $20M
- Team size
- 39
5
HealthPlix
Bangalore, Karnataka, India
Developer of a software application intended to provide clinical decision support through AI technology. The company's artificial intelligence platform features electronic medical records and personalized consultation based on a patient's medical history, especially for chronic diseases like diabetes and helps to give prescriptions in more than 18 languages, enabling doctors to eliminate the conventional pen and paper prescriptions and shift to new age electric medical record.
- Revenue
- $8.1M
- Year founded
- 2014
- Funding
- $22.6M
- Team size
- 326
6
LEVY Health
Berlin, Germany
LEVY Health is a clinical decision support software for endocrine disorders, recommending ICD-10 diagnosis & individual therapeutic strategies. It brings together doctors and innovators in reproductive medicine to enhance fertility outcomes and long-term health.
- Revenue
- $8M
- Year founded
- 2020
- Team size
- 29
7
Shukun Technology
Beijing, China
Shukun Technology is a Chinese AI medical company that focuses on developing diagnostics systems for chronic diseases, utilizing machine learning and artificial intelligence for medical diagnosis.
- Revenue
- $8M
- Year founded
- 2017
- Funding
- $287.8M
- Team size
- 71
8
deepc
Munich, Bavaria, Germany
deepc is a pioneering company in the realm of Radiology AI, poised to democratize access to health at scale. At the heart of our mission is ourproduct deepcOS®, an unrivaled cloud-native Radiology AI platform. With a vendor-agnostic approach, deepcOS® boasts an expansive repository of cutting-edge AI applications. This groundbreaking platform empowers radiologists to seamlessly include AI insights into their clinical workflows, ushering in a new era of patient care excellence and elevated diagnostic precision. Visit our website now or simply email us at [email protected]
- Revenue
- $7.7M
- Year founded
- 2020
- Team size
- 70
9
SiftMed
St. John's, Newfoundland and Labrador, Canada
SiftMed is dedicated to developing technology to improve medical file reviews through an AI-driven platform that analyzes unstructured medical data.
- Revenue
- $7.5M
- Year founded
- 2020
- Team size
- 54
10
Ultromics
Oxford, Oxfordshire, United Kingdom
Ultromics pioneers precision heart failure detection. Our groundbreaking platform, EchoGo®, is revolutionizing the diagnosis of heart failure using artificial intelligence and cardiac ultrasound. Our technology empowers clinicians to make precise, efficient, and accurate assessments, drawing from the largest known heart disease dataset in echocardiography. We target challenging cardiac diseases, starting with HFpEF, to support timely diagnosis and early intervention. In collaboration with the Mayo Clinic, Johnson & Johnson, and Pfizer, we are continuously developing innovative diagnostic tools aimed at halting the progression of heart failure. Learn more: https://www.ultromics.com/. Follow Ultromics on social media for the latest news, X: https://x.com/ultromics, LinkedIn: https://www.linkedin.com/company/ultromics/.
- Revenue
- $7.3M
- Year founded
- 2017
- Team size
- 66
Frequently asked questions about Clinical Decision Support SaaS Companies With $5M–$10M Revenue
How many clinical decision support SaaS companies with $5M–$10M in annual revenue are there?
Latka tracks 16 clinical decision support SaaS companies with $5M–$10M in annual revenue. Together they generate $117.8M in annual revenue and employ 992 people.
Which clinical decision support SaaS company with $5M–$10M in annual revenue is the largest?
Triomics is the largest, with $9.9M in annual revenue, founded in 2021.
How much revenue does a typical clinical decision support SaaS company with $5M–$10M in annual revenue make?
The average clinical decision support SaaS company in this list makes $7.4M a year, across 16 companies with reported revenue.
Who are the leading Clinical Decision Support vendors with $5M–$10M in annual revenue?
Ranked by annual revenue, the leaders are Triomics, PhotoniCare, SeqOne, CancerIQ and HealthPlix.
How much funding have clinical decision support SaaS companies with $5M–$10M in annual revenue raised?
The 16 clinical decision support SaaS companies with $5M–$10M in annual revenue tracked here have raised $346.3M in disclosed funding between them.
Related Vertical Industry Software categories
Inclusion Criteria
- The product must provide actionable insights and recommendations based on clinical data. - It should integrate with electronic health records (EHR) and other clinical systems. - The solution must support evidence-based guidelines and alerts for healthcare providers. - It should enhance clinical workflows, aiding in both diagnosis and treatment plans. - The product is not just an EHR system; it must specifically provide clinical decision support functionalities.