Products

ClosedLoop.ai
ClosedLoop.ai
Clinical Decision Support & Reference
ClosedLoop.ai is a healthcare-specific AI data science platform that enables organizations to build, deploy, and manage predictive models to improve patient outcomes and reduce costs.

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About ClosedLoop.ai

ClosedLoop.ai is a leading healthcare AI company dedicated to empowering physicians and healthcare organizations with advanced predictive analytics. Their purpose-built data science platform leverages machine learning to transform complex healthcare data into actionable insights, enabling more precise and proactive patient care. For physicians, this translates into a powerful tool that moves beyond traditional risk scores, offering comprehensive, personalized patient health forecasts directly integrated into clinical workflows. The platform helps identify individuals at high risk for adverse health events, such as preventable hospitalizations, emergency room visits, chronic disease onset, and fall-related injuries, allowing for targeted interventions and improved patient outcomes.

The company’s core offering is an intuitive, end-to-end machine learning platform complemented by an extensive library of healthcare-specific features and model templates. This architecture facilitates the rapid development and deployment of accurate and explainable predictive models, even for organizations without deep in-house data science expertise, thanks to its low-code capabilities. By providing clear, interpretable AI, ClosedLoop.ai assists physicians in making data-driven decisions, optimizing resource utilization, and enhancing patient engagement through personalized outreach and care plans.

ClosedLoop.ai’s solutions are designed to support various healthcare stakeholders, including providers, payers, digital health companies, and pharmaceutical organizations, in their pursuit of clinical excellence, operational efficiency, and success in value-based care models. Their focus areas include risk stratification, population health management, and clinical decision support, ultimately aiming to improve health outcomes and reduce unnecessary costs across the healthcare ecosystem.

Focus Areas

Predictive analytics Explainable AI Population health management Value-based care Risk stratification Clinical excellence Operational efficiency Chronic disease management Preventing avoidable admissions/readmissions Reducing ED over-utilization Avoiding appointment no-shows Social determinants of health (SDoH) integration

Business Intelligence

Key InvestorsTelstra Ventures, Breyer Capital, Greycroft Ventures, .406 Ventures, Healthfirst, Silicon Valley Bank, Meridian Street Capital, Adam Boehler, Sam Palmisano
PartnershipsHealthfirst, Booz Allen Hamilton, Palm Beach ACO, Medical Home Network, Southwestern Health Resources
AcquisitionsFormerly known as Deep Health Technologies
TechnologyHealthcare-specific machine learning automation platform, end-to-end machine learning platform, comprehensive library of healthcare-specific ML features and model templates, Explainable AI, integrates into clinical workflows, low-code/no-code options, API for advanced users, ingests EHR, claims, labs, SDoH, and device data, built on Apache Spark

What Physicians Need to Know

Predictive Analytics
ClosedLoop.ai specializes in leveraging AI and machine learning to predict a wide range of health outcomes and operational challenges. This includes forecasting patient admissions and readmissions, emergency department over-utilization, appointment no-shows, and the onset or progression of chronic diseases. They also excel at identifying high-risk patient populations for proactive intervention.
Explainable AI (XAI)
A core differentiator, ClosedLoop.ai provides explainable AI solutions that allow clinicians to understand the underlying factors contributing to each prediction. This transparency builds trust and enables more informed clinical decision-making, moving beyond 'black box' AI.
Population Health Management (PHM) & Value-Based Care (VBC)
The platform is purpose-built to support PHM initiatives and value-based care models. It helps organizations evaluate program impact, optimize ROI, and enhance decision-making for VBC administrators by integrating critical provider performance data with AI/ML tools.
Risk Stratification & Chronic Disease Management
ClosedLoop.ai's predictive models are highly effective in stratifying patient risk, allowing healthcare providers to pinpoint individuals most likely to benefit from preventative measures. They also predict the onset and progression of chronic conditions, enabling targeted interventions.
Operational Efficiency & Clinical Excellence
By automating aspects of monitoring and decision-making, and providing actionable insights, ClosedLoop.ai helps reduce clinician workload, optimize resource allocation, and streamline clinical workflows, ultimately driving operational efficiency and clinical excellence.
Social Determinants of Health (SDoH) Integration
ClosedLoop.ai incorporates Social Determinants of Health (SDoH) data alongside clinical, claims, and pharmacy data to create more comprehensive and accurate predictive models, addressing a holistic view of patient health.
Key Differentiators
ClosedLoop.ai stands out due to its healthcare-specific, end-to-end machine learning platform, comprehensive healthcare content library, and a strong focus on explainable AI. They have a proven track record, including winning the CMS AI Health Outcomes Challenge and being recognized as 'Best in KLAS' for Healthcare AI. Their 'closed-loop' approach ensures data sovereignty and customization for enterprise clients.
Technology Stack
Their core technology is an end-to-end machine learning automation platform purpose-built for healthcare. It processes diverse patient-linkable data (EHR, claims, labs, SDoH, wearables, genomics) and is cloud-based (e.g., AWS). The platform supports agile AI model development, features versioning, change logs, and is expanding into generative AI solutions.
Physician Tip

For physicians, ClosedLoop.ai offers a powerful tool to enhance patient care and streamline operations. The platform's explainable AI provides clear, actionable insights and personalized risk forecasts, allowing you to understand 'why' a prediction is made and confidently intervene. This enables proactive care, helps identify patients most likely to benefit from preventative measures, and supports more precise, patient-specific treatment plans. By integrating into clinical workflows, it augments your decision-making, reduces administrative burden, and ultimately contributes to improved patient outcomes and a more efficient practice. Focus on leveraging the patient health forecasts to prioritize interventions and personalize care pathways.

ClosedLoop.ai is designed for robust integration within existing healthcare ecosystems. It can ingest a wide array of healthcare data types, including clinical, claims, pharmacy, SDoH, EHR, labs, and data from care management systems. While specific direct integrations with all EMRs are not explicitly detailed, their platform is built to take in 'whatever data an organization has' and convert it into actionable models. They also integrate with automation platforms like Zapier and can connect with customer service software like Zendesk and HubSpot CRM, indicating a flexible approach to connecting with various enterprise applications and data sources.

Products by ClosedLoop.ai

1 product in the directory

ClosedLoop.ai
ClosedLoop.ai
Clinical Decision Support & Reference
ClosedLoop.ai is a healthcare-specific AI data science platform that enables organizations to build, deploy, and manage predictive models to improve patient outcomes and reduce costs.

What the Web Says

ClosedLoop.ai is a healthcare data science platform that uses AI and machine learning to help healthcare organizations improve patient outcomes and reduce costs through predictive analytics. The company is generally well-regarded for its vision and mission in applying AI to healthcare, with positive feedback from employees regarding culture and leadership. However, some employee reviews mention unstructured aspects common in startups, and there's limited product review data on major platforms like G2 and Capterra directly for ClosedLoop.ai's core platform.

Overall: Mixed

Strengths

  • Great vision for the role of machine learning and AI in healthcare.
  • CEO and CTO have faith in their team, and employee ideas are respected.
  • Contagious passion for the company's mission from the executive team.
  • Provides a comprehensive library of easily modifiable templates for healthcare-specific predictive models.
  • Helps healthcare organizations improve patient outcomes and lower unnecessary costs.
  • High customization and AI-driven predictive analytics.

Limitations

  • Unstructured aspects, typical of startups, can make it hard to achieve success.
  • Limited direct product reviews on major platforms like G2 and Capterra for its core healthcare AI platform.
  • Some Reddit discussions about similarly named or related AI services mention potential scams or misleading pricing, though these do not directly refer to ClosedLoop.ai's healthcare platform.

Based on reviews from: Indeed.com, ITQlick, Elion, Growjo, G2.com, Reddit

Last updated: 2026-08-12

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Press & Coverage

ClosedLoop.ai (formerly Healthy)
Still On Top: Healthy Secures Best in KLAS Healthcare AI Honor for Fourth Year Running
Healthy (formerly ClosedLoop.ai) announced its fourth consecutive Best in KLAS award for Healthcare Artificial Intelligence: Data Science Solutions, achieving an overall performance score of 95.9 out of 100.
2025-02
Business Wire
CORRECTING and REPLACING Healthcare AI Leader ClosedLoop Launches Two First-of-Their-Kind Data Science Products for Value-Based Care
ClosedLoop.ai launched two new data science solutions, ACO-Predict and Evaluate, designed to help healthcare organizations analyze, evaluate, monitor, and refine programs to mitigate adverse events, improve health outcomes, and reduce unnecessary costs.
2023-09
PR Newswire
ClosedLoop Wins Top Best in KLAS Healthcare AI Spot for Third Consecutive Year
ClosedLoop.ai was named Best in KLAS for Healthcare Artificial Intelligence: Data Science Solutions for the third year in a row, with an overall performance score of 95.9 out of 100.
2024-02
Centers for Medicare & Medicaid Services (CMS)
CMS Selects Winner and Runner-Up in Artificial Intelligence Health Outcomes Challenge
ClosedLoop.ai was selected as the winner of the CMS Artificial Intelligence (AI) Health Outcomes Challenge, a multi-stage competition aimed at accelerating the development of AI solutions for predicting patient health outcomes for Medicare beneficiaries.
2021-04
Business Wire
ClosedLoop.ai Raises $34M Series B to Usher in AI-Enabled Healthcare and Tackle Trillion-Dollar Healthcare Problem
ClosedLoop.ai announced a $34 million Series B financing round led by Telstra Ventures, with participation from Breyer Capital, Greycroft Ventures, .406 Ventures, and Healthfirst, to extend its lead in delivering AI solutions for healthcare.
2021-08
Built In Austin
ClosedLoop.ai Raises $11M as Investment in Preventative Healthtech Rises | Built In Austin
ClosedLoop.ai raised $11 million in Series A funding, co-led by Greycroft and .406 Ventures, to further develop its AI-powered platform that helps doctors identify patients who would benefit most from preventative care.
2020-11
MIT News
Bringing the predictive power of artificial intelligence to health care | MIT News
ClosedLoop.ai, co-founded by an MIT alumnus, is helping healthcare organizations leverage AI with a flexible analytics solution that allows hospitals to quickly integrate their data into machine learning models for actionable results.
2020-06
MDPI (Electronics)
Advances in Closed-Loop Artificial Intelligence for Healthcare
This peer-reviewed article discusses the growing interest in post-deployment Human-in-the-Loop (HITL) systems in healthcare AI, where clinicians can refine AI outputs and provide real-time feedback without requiring model retraining, highlighting a shift towards human-centered, closed-loop AI frameworks.
2026-03

Frequently Asked Questions

ClosedLoop.ai utilizes an AI-powered analytics platform to generate accurate, explainable, and actionable predictions of individual-level health risks. This enables healthcare organizations to direct precise interventions, optimize resource allocation, and streamline operations, ultimately enhancing patient outcomes and reducing administrative burdens.
ClosedLoop.ai offers solutions like ACO-Predict and Evaluate to help organizations analyze, evaluate, monitor, and refine population health programs for value-based care. The platform leverages AI to stratify population health risk, identify high-risk individuals, and predict outcomes such as avoidable admissions, readmissions, and ED over-utilization, improving program effectiveness and cost management.
ClosedLoop.ai's platform integrates a comprehensive range of healthcare data, including clinical, claims, pharmacy, and Social Determinants of Health (SDoH) data, to build robust predictive models. The company is HIPAA compliant, SOC 2 Type 2 certified, and employs measures like data encryption, access controls, and Business Associate Agreements (BAAs) to ensure the security and privacy of Protected Health Information (PHI).
ClosedLoop.ai's core platform, along with products like ACO-Predict and Evaluate, provides a comprehensive library of healthcare-specific features and model templates. These tools predict chronic disease onset or progression, identify actionable risk factors, and help enhance chronic care management enrollment, personalize care plans, and improve transitions of care.
ClosedLoop.ai has consistently been recognized as a leader in Healthcare AI, earning the Best in KLAS award for Healthcare AI: Data Science Solutions for four consecutive years (2021-2025). The company, founded in 2017, has secured $48 million in funding and maintains strategic partnerships, such as with CareJourney, to enhance its offerings and support value-based care organizations.

Investors

Who's funded ClosedLoop.ai.

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