CareCloud Launches Healthcare AI Center Set to Become World’s Largest with 500 AI Professionals
CareCloud (Nasdaq: CCLD) has launched its AI Center of Excellence (AI CoE), starting with 50 AI engineers, data scientists, and healthcare experts, with plans to expand to 500 AI professionals by Q4 2025. The initiative aims to become the world's largest dedicated healthcare AI center.
Operating under a dual-shore model, the self-funded AI CoE leverages CareCloud's 25 years of clinical and financial data to develop proprietary healthcare AI solutions. The center focuses on developing intelligent models for clinical workflows, revenue cycle processes, and decision support, while streamlining operations through automation.
Key focus areas include:
- Proprietary healthcare AI model development
- Automation of clinical documentation and claims management
- Predictive analytics for reimbursement risks
- AI-driven patient engagement enhancement
- Integration of AI across EHR and RCM platforms
CareCloud (Nasdaq: CCLD) ha inaugurato il suo Centro di Eccellenza per l'Intelligenza Artificiale (AI CoE), partendo con 50 ingegneri AI, data scientist ed esperti del settore sanitario, con l'obiettivo di arrivare a 500 professionisti AI entro il quarto trimestre del 2025. L'iniziativa punta a diventare il più grande centro dedicato all'intelligenza artificiale in ambito sanitario a livello mondiale.
Operando con un modello dual-shore, il centro AI autofinanziato sfrutta i 25 anni di dati clinici e finanziari di CareCloud per sviluppare soluzioni AI proprietarie per la sanità. Il centro si concentra sulla creazione di modelli intelligenti per i flussi di lavoro clinici, i processi del ciclo di fatturazione e il supporto alle decisioni, ottimizzando le operazioni attraverso l'automazione.
Le aree chiave di interesse includono:
- Sviluppo di modelli AI proprietari per la sanità
- Automazione della documentazione clinica e della gestione delle richieste di rimborso
- Analisi predittiva dei rischi di rimborso
- Miglioramento dell'engagement dei pazienti tramite AI
- Integrazione dell'AI su piattaforme EHR e RCM
CareCloud (Nasdaq: CCLD) ha lanzado su Centro de Excelencia en Inteligencia Artificial (AI CoE), comenzando con 50 ingenieros de IA, científicos de datos y expertos en salud, con planes de expandirse a 500 profesionales de IA para el cuarto trimestre de 2025. La iniciativa busca convertirse en el centro dedicado a IA en salud más grande del mundo.
Operando bajo un modelo dual-shore, el AI CoE autofinanciado aprovecha los 25 años de datos clínicos y financieros de CareCloud para desarrollar soluciones propietarias de IA para el sector salud. El centro se enfoca en desarrollar modelos inteligentes para flujos de trabajo clínicos, procesos del ciclo de ingresos y soporte a la toma de decisiones, mientras optimiza las operaciones mediante automatización.
Las áreas clave de enfoque incluyen:
- Desarrollo de modelos de IA propietarios para la salud
- Automatización de la documentación clínica y gestión de reclamaciones
- Análisis predictivo para riesgos de reembolso
- Mejora del compromiso del paciente impulsada por IA
- Integración de IA en plataformas EHR y RCM
CareCloud (나스닥: CCLD)는 AI 우수 센터(AI CoE)를 출범했으며, 50명의 AI 엔지니어, 데이터 과학자, 의료 전문가로 시작해 2025년 4분기까지 500명의 AI 전문가로 확장할 계획입니다. 이 이니셔티브는 세계에서 가장 큰 헬스케어 AI 전용 센터가 되는 것을 목표로 합니다.
듀얼-쇼어 모델로 운영되는 자금 자립형 AI CoE는 CareCloud의 25년간 임상 및 재무 데이터를 활용해 독자적인 헬스케어 AI 솔루션을 개발합니다. 이 센터는 임상 워크플로우, 수익 주기 프로세스, 의사결정 지원을 위한 지능형 모델 개발에 집중하며 자동화를 통해 운영 효율성을 높입니다.
주요 중점 분야는 다음과 같습니다:
- 독자적인 헬스케어 AI 모델 개발
- 임상 문서화 및 청구 관리 자동화
- 상환 위험 예측 분석
- AI 기반 환자 참여 강화
- EHR 및 RCM 플랫폼 전반에 AI 통합
CareCloud (Nasdaq : CCLD) a lancé son Centre d'Excellence en Intelligence Artificielle (AI CoE), débutant avec 50 ingénieurs en IA, data scientists et experts en santé, avec pour objectif d'atteindre 500 professionnels de l'IA d'ici le quatrième trimestre 2025. Cette initiative vise à devenir le plus grand centre dédié à l'IA en santé au monde.
Fonctionnant selon un modèle dual-shore, le AI CoE autofinancé exploite les 25 ans de données cliniques et financières de CareCloud pour développer des solutions d'IA propriétaires dans le domaine de la santé. Le centre se concentre sur le développement de modèles intelligents pour les flux de travail cliniques, les processus du cycle de revenus et le support à la décision, tout en optimisant les opérations grâce à l'automatisation.
Les domaines clés d'intervention comprennent :
- Développement de modèles d'IA propriétaires pour la santé
- Automatisation de la documentation clinique et de la gestion des réclamations
- Analyses prédictives des risques de remboursement
- Amélioration de l'engagement des patients grâce à l'IA
- Intégration de l'IA dans les plateformes EHR et RCM
CareCloud (Nasdaq: CCLD) hat sein AI Center of Excellence (AI CoE) gestartet, beginnend mit 50 AI-Ingenieuren, Datenwissenschaftlern und Experten im Gesundheitswesen, mit dem Ziel, bis zum vierten Quartal 2025 auf 500 AI-Fachkräfte zu expandieren. Die Initiative will das weltweit größte spezialisierte AI-Zentrum im Gesundheitswesen werden.
Das selbstfinanzierte AI CoE arbeitet nach einem Dual-Shore-Modell und nutzt CareClouds 25 Jahre klinischer und finanzieller Daten, um proprietäre AI-Lösungen für das Gesundheitswesen zu entwickeln. Das Zentrum konzentriert sich auf die Entwicklung intelligenter Modelle für klinische Arbeitsabläufe, Revenue-Cycle-Prozesse und Entscheidungsunterstützung, während es die Abläufe durch Automatisierung optimiert.
Wichtige Schwerpunkte sind:
- Entwicklung proprietärer AI-Modelle für das Gesundheitswesen
- Automatisierung der klinischen Dokumentation und Abrechnungsverwaltung
- Prädiktive Analysen für Erstattungsrisiken
- KI-gestützte Verbesserung der Patientenbindung
- Integration von AI in EHR- und RCM-Plattformen
- Launch of AI Center of Excellence with initial team of 50 AI professionals
- Planned expansion to 500 AI professionals by Q4 2025
- Self-funded initiative demonstrating strong operating cash flows
- Cost-effective global delivery model compared to U.S.-based competitors
- Leveraging 25 years of clinical and financial data for AI development
- Significant investment and operational costs required for AI Center expansion
- Execution risk in scaling from 50 to 500 AI professionals in short timeframe
- Competitive pressure from other healthcare technology providers developing AI solutions
Insights
CareCloud's AI Center of Excellence represents a strategic pivot toward healthcare AI, with ambitious scaling plans and potential competitive advantages.
CareCloud's launch of its AI Center of Excellence marks a significant strategic initiative in the healthcare technology space. The company has started with 50 AI professionals and plans to scale to 500 by Q4 2025 — positioning it as potentially the largest dedicated healthcare AI center globally. This initiative aligns with the industry-wide shift toward AI-powered solutions, as noted by Co-CEO Stephen Snyder's statement that "RCM companies without advanced AI capabilities are being left behind."
The company's focus areas include developing proprietary healthcare AI models for clinical workflows and revenue cycle processes, streamlining operations through automation, enabling predictive analytics for reimbursement risks, and enhancing patient engagement. These priorities target core healthcare pain points where AI can deliver measurable value.
What stands out is CareCloud's approach of leveraging 25 years of clinical and financial data — a potential competitive advantage in training effective healthcare AI models. The dual-shore delivery model could provide cost efficiencies while combining global technical talent with healthcare domain expertise.
The fact that this initiative is self-funded through operating cash flows suggests financial stability, though the rapid scaling timeline presents execution challenges. For a healthcare technology provider with CareCloud's profile, this AI-centric strategy represents a clear effort to differentiate in an increasingly competitive market where AI capabilities are becoming essential rather than optional.
CareCloud's AI initiative shows strategic vision but presents significant scaling and execution challenges in a complex healthcare environment.
CareCloud's AI Center of Excellence represents an ambitious technological pivot in healthcare AI. The company's plan to expand from 50 to 500 AI professionals within approximately 6-8 months signals an extraordinary commitment to AI as a core capability. This scale would be notable even among tech giants, not just healthcare technology providers.
The company's approach leverages several potential technical advantages. First, their dual-shore model indicates a global talent strategy that could provide cost efficiency advantages over competitors using primarily U.S.-based AI talent. Second, their claimed 25 years of clinical and financial data could be a significant asset, as high-quality, domain-specific training data remains one of the most challenging aspects of developing effective healthcare AI models.
The specific focus areas align with high-value healthcare challenges: clinical documentation, revenue cycle processes, coding, claims management, and prior authorizations — all areas where intelligent automation can deliver measurable ROI. However, healthcare AI faces unique technical challenges including data quality issues, interoperability requirements, and strict regulatory compliance demands.
While the self-funded approach indicates financial stability, the rapid scaling timeline introduces significant operational and quality control challenges. Building effective AI for healthcare isn't just about headcount — it requires specialized expertise, robust data governance, and sophisticated validation frameworks to ensure that solutions meet clinical and regulatory standards. CareCloud's success will ultimately depend on their execution capability and the quality of the AI solutions they deliver.
SOMERSET, N.J., April 28, 2025 (GLOBE NEWSWIRE) -- CareCloud, Inc. (Nasdaq: CCLD, CCLDO), a leading provider of healthcare technology and generative AI solutions, today announced the official launch of its AI Center of Excellence (the “AI CoE”) — a major strategic initiative aimed at delivering scalable, domain-specific artificial intelligence solutions purpose-built for healthcare.
“Our ground-breaking AI Center officially began operations earlier this month with an inaugural team of over 50 AI engineers, data scientists, and healthcare domain experts, marking a pivotal moment in CareCloud’s journey,” said Hadi Chaudhry, Co-CEO of CareCloud. “The AI Center of Excellence reflects our long-term vision to lead in healthcare transformation. By leveraging 25 years of clinical and financial data, CareCloud is building proprietary, purpose-driven AI solutions that empower providers to deliver better care—faster, smarter, and more efficiently.”
The AI CoE operates under a dual-shore model, seamlessly combining global engineering talent with localized healthcare expertise. CareCloud plans to scale the team to 500 AI professionals between now and the fourth quarter of 2025 — a milestone that CareCloud believes will establish it as the largest dedicated healthcare AI initiative in the world. The AI CoE is fully self-funded, reflecting CareCloud’s strong operating cash flows, disciplined execution, and the scalability of its global delivery model. By leveraging a highly efficient cost structure that outperforms U.S.-based competitors, CareCloud is uniquely positioned to accelerate innovation at scale while delivering enterprise-grade solutions with exceptional cost-effectiveness.
“The launch of CareCloud’s AI Center of Excellence marks a major step forward in our growth strategy,” said Stephen Snyder, Co-CEO of CareCloud. “RCM companies and other industry competitors without advanced AI capabilities are being left behind — survival and growth now depend on innovation at scale. With the launch of our AI Center of Excellence, CareCloud is not just adapting to this shift — we are driving it. By embedding AI across every level of our organization, we are building a more powerful, efficient, and future-ready company positioned to lead the next era of healthcare.”
Some core focus areas of CareCloud’s AI CoE include:
- Proprietary Healthcare AI Models: Developing intelligent, domain-specific models for clinical workflows, revenue cycle processes, and decision support.
- Automation and Efficiency Gains: Streamlining clinical documentation, coding, claims management, prior authorizations, and compliance workflows.
- Predictive and Preventive Analytics: Enabling earlier identification of reimbursement risks, denial causes, patient propensity-to-pay and operational bottlenecks.
- Smarter Patient and Provider Engagement: Enhancing communication, scheduling, patient education, and satisfaction through AI-driven personalization.
- Accelerated Innovation Across Platforms: Embedding AI natively across EHR, RCM, and digital health products to deliver real-time, scalable value.
CareCloud’s deep domain expertise and rich historical datasets provide a significant advantage in training and refining accurate, compliant AI models. By tightly integrating AI across its technology stack, the company is poised to deliver enterprise-grade, HIPAA-compliant solutions with immediate real-world impact.
As the healthcare industry rapidly embraces artificial intelligence, CareCloud’s AI CoE strengthens its role as an innovation leader — driving operational transformation, enhancing clinical outcomes, and reducing the administrative burden on providers.
About CareCloud
CareCloud (Nasdaq: CCLD, CCLDO) brings disciplined innovation to the business of healthcare. Our suite of AI and technology-enabled solutions helps clients increase financial and operational performance, streamline clinical workflows and improve the patient experience. More than 40,000 providers count on CareCloud to help them improve patient care, while reducing administrative burdens and operating costs. Learn more about our products and services, including revenue cycle management (RCM), practice management (PM), electronic health records (EHR), business intelligence, patient experience management (PXM) and digital health, at carecloud.com.
Follow CareCloud on LinkedIn, X and Facebook.
For additional information, please visit our website at carecloud.com. To listen to video presentations by CareCloud’s management team, read recent press releases and view the latest investor presentation, please visit ir.carecloud.com.
Disclaimer
This press release is for information purposes only, and does not constitute an offer to sell or solicitation of an offer to buy, nor shall there be any sale of these securities in any state or other jurisdiction in which such offer, solicitation or sale would be unlawful prior to the registration or qualification under the securities laws of such state or jurisdiction.
Forward-Looking Statements
This press release contains various forward-looking statements within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. These statements relate to anticipated future events, future results of operations or future financial performance. In some cases, you can identify forward-looking statements by terminology such as “may,” “might,” “will,” “shall,” “should,” “could”, “intends,” “expects,” “plans,” “goals,” “projects,” “anticipates,” “believes,” “seeks,” “estimates,” “predicts,” “possible,” “potential,” “target,” or “continue” or the negative of these terms or other comparable terminology.
Our operations involve risks and uncertainties, many of which are outside our control, and any one of which, or a combination of which, could materially affect our results of operations and whether the forward-looking statements ultimately prove to be correct. Forward-looking statements in this press release include, without limitation, statements reflecting management's expectations for future financial performance and operating expenditures, expected growth, profitability and business outlook, the impact of pandemics on our financial performance and business activities, and the expected results from the integration of our acquisitions.
These forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are only predictions, are uncertain and involve substantial known and unknown risks, uncertainties and other factors which may cause our (or our industry’s) actual results, levels of activity or performance to be materially different from any future results, levels of activity or performance expressed or implied by these forward-looking statements. New risks and uncertainties emerge from time to time, and it is not possible for us to predict all of the risks and uncertainties that could have an impact on the forward-looking statements, including without limitation, risks and uncertainties relating to the Company’s ability to manage growth, migrate newly acquired customers and retain new and existing customers, maintain cost-effective global operations, increase operational efficiency and reduce operating costs, predict and properly adjust to changes in reimbursement and other industry regulations and trends, retain the services of key personnel, develop new technologies, upgrade and adapt legacy and acquired technologies to work with evolving industry standards, compete with other companies’ products and services competitive with ours, and other important risks and uncertainties referenced and discussed under the heading titled “Risk Factors” in the Company’s filings with the Securities and Exchange Commission.
The statements in this press release are made as of the date of this press release, even if subsequently made available by the Company on its website or otherwise. The Company does not assume any obligations to update the forward-looking statements provided to reflect events that occur or circumstances that exist after the date on which they were made.
SOURCE CareCloud
Company Contact:
Norman Roth
Interim Chief Financial Officer and Corporate Controller
CareCloud, Inc.
nroth@carecloud.com
Investor Contact:
Stephen Snyder
Co-Chief Executive Officer
CareCloud, Inc.
ir@carecloud.com
FAQ
What is the planned size of CareCloud's (CCLD) AI Center of Excellence by Q4 2025?
How is CareCloud (CCLD) funding its new AI Center of Excellence?
What are the main focus areas of CareCloud's (CCLD) AI Center of Excellence?
How many years of data is CareCloud (CCLD) leveraging for its AI solutions?
