Best On-Premises Healthcare AI Software of 2025

StackAI is an enterprise AI automation platform that allows organizations to build end-to-end internal tools and processes with AI agents. It ensures every workflow is secure, compliant, and governed, so teams can automate complex processes without heavy engineering. With a visual workflow builder and multi-agent orchestration, StackAI enables full automation from knowledge retrieval to approvals and reporting. Enterprise data sources like SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected with versioning, citations, and access controls to protect sensitive information. AI agents can be deployed as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, ServiceNow, or custom apps. Security is built in with SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, and data residency. Analytics and cost governance let teams track performance, while evaluations and guardrails ensure reliability before production. StackAI also offers model flexibility, routing tasks across OpenAI, Anthropic, Google, or local LLMs with fine-grained controls for accuracy. A template library accelerates adoption with ready-to-use workflows like Contract Analyzer, Support Desk AI Assistant, RFP Response Builder, and Investment Memo Generator. By consolidating fragmented processes into secure, AI-powered workflows, StackAI reduces manual work, speeds decision-making, and empowers teams to build trusted automation at scale.

SimboConnect serves as an Intelligent Virtual Assistant (IVA) designed for healthcare providers of all sizes, offering a Software as a Service (SaaS) solution that streamlines both incoming and outgoing phone communications. This innovative bot efficiently engages with patients over the phone, addressing a wide range of inquiries from simple appointment scheduling to complex medical refill requests, callback inquiries, and more, while autonomously resolving some requests and directing others to appropriate staff members to ensure that no appointments or tasks slip through the cracks. Furthermore, SimboConnect presents patient interactions in a structured format, paving the way for extensive automation and insightful analytics. With its comprehensive 360-degree follow-up dashboard, healthcare professionals can access a complete history of patient communications in one centralized location. Patients appreciate the immediate responses without the hassles of lengthy wait times or cumbersome interactive voice response systems, while healthcare facilities benefit from the assurance that no calls or appointment requests are overlooked, ultimately enhancing the overall patient experience. This seamless integration into healthcare practices not only boosts efficiency but also fosters stronger patient-provider relationships.

Use AI agents to automate the review of patient charts, saving time, improving productivity, and improving the mental health of physicians. This will improve the quality of care provided to patients. Sporo allows the clinician to focus on what is important, the patient. Manual Chart Review (MCR), which consumes a lot of time, leads to physician burnout and poor patient outcomes. We combine the latest advances to create state-ofthe-art AI agents which analyze pages of patient chart and provide synopses that can be reviewed in only 10 seconds. We've created the perfect solution for modern healthcare with the best technology and expert advisors. Sporo can help you save time and effort by focusing on key elements in a patient's history.

NLSQL is a B2B SaaS solution designed to enable employees to make informed and swift business decisions through an easy-to-use text interface, offering substantial advantages for enterprises. Notably, NLSQL serves as the pioneering NLP to SQL API, ensuring that no sensitive or confidential information is transmitted beyond the corporate IT environment. This feature enhances data security while facilitating efficient decision-making processes within organizations.

HIPAA-compliant AI chat solutions, API access, and enterprise-grade tools—powered by Anthropic’s Claude—Hathr AI enables healthcare providers, insurers, and professionals handling HIPAA-regulated data to streamline workflows while maintaining strict data security. Built within AWS GovCloud’s FedRAMP High environment, Hathr AI ensures all data interactions remain private and safeguarded from unauthorized access. Users can automate key processes like patient note summarization, pre-authorization drafting, and insurance claim submissions, all within a secure and intuitive platform. By leveraging advanced models such as Claude 3.5 Sonnet, Hathr AI delivers a private AI environment tailored for HIPAA compliance. Teams can efficiently extract and summarize data from complex medical records, supporting more informed clinical and administrative decisions.

Engage with a medical-focused generative AI that not only elucidates its responses but also cites relevant references, refreshes its medical knowledge on a daily basis, and allows users to personalize and select knowledge bases. This AI comes equipped with a pre-loaded database and has been trained using over 2,300 reference datasets put together by experts in the medical field, encompassing a wide array of terminologies, medical research, clinical trials, patents, population health insights, costs, as well as public and regulatory information. It indexes numerous sources of medical research and data, ensuring a comprehensive understanding of the available information. The system is designed to receive daily updates on the latest medical findings, clinical trial results, and evolving terminologies, making it capable of processing vast quantities of documents, potentially reaching into the millions or billions. Moreover, the cluster can be scaled according to specific requirements. As a type of conversational AI, a medical chatbot employs natural language processing (NLP) technologies to communicate with users, delivering valuable medical information, guidance, or assistance. These chatbots serve various functions, including addressing general inquiries regarding diseases, health concerns, and available treatment options, thus enhancing the accessibility of medical knowledge for users everywhere.

The Medical Imaging Suite from Google Cloud is crafted to revolutionize the way organizations handle imaging diagnostics by ensuring that imaging data is not only accessible but also interoperable and beneficial. This suite provides a secure, compliant, and fully managed service to oversee healthcare data in various formats such as FHIR, HL7v2, and DICOM, alongside unstructured text in natural language. Utilizing a cloud infrastructure simplifies the process of storing and sharing extensive collections of medical images that are prevalent in the healthcare sector, making it both efficient and economical. The Cloud Healthcare API facilitates operations to read DICOM instances, studies, and series in alignment with the DICOMweb standard. Furthermore, the suite enhances research capabilities and improves the overall patient experience in healthcare by providing comprehensive solutions for data storage and analysis, among other functionalities. Additionally, it offers guidance on concepts and best practices for the integration of third-party medical imaging viewers with the Cloud Healthcare API, ensuring a seamless experience for users. This holistic approach not only streamlines workflow but also fosters innovation in the medical imaging landscape.

Mamosis offers a cutting-edge AI-powered cancer diagnosis solution that accelerates and improves diagnostic accuracy by analyzing complex medical images and wellness metrics. The platform’s deep learning algorithms, developed with input from clinical experts, identify subtle patterns and anomalies that aid in early cancer detection. Mamosis delivers detailed, easy-to-interpret reports quickly, allowing clinicians to initiate timely interventions. The user-friendly interface streamlines the diagnostic process, enabling secure uploads and fast analysis, saving valuable time in clinical settings. With stringent data encryption and privacy protocols, patient information is protected at every step. Mamosis not only aids medical professionals but also empowers individuals by providing personalized health insights for proactive wellness management. The software integrates seamlessly into existing workflows, enhancing efficiency without disrupting daily operations. By fostering collaboration between AI and human expertise, Mamosis drives more accurate diagnoses and improved patient care.

Health Studio™ provides an innovative, all-encompassing AI platform that brings together patient care, clinical research, and remote monitoring into one cohesive system. By effectively linking wearables, medical instruments, and patient information, it offers immediate insights, optimizes workflows, and improves health outcomes, thus revolutionizing healthcare into a more interconnected and data-centric journey. This advancement not only benefits healthcare providers but also empowers patients through better access to their health information.

Arterys is an innovative medical imaging AI platform that seamlessly integrates advanced AI clinical applications into your existing PACS or EHR workflows, making it an intuitive extension of your current practices. Our goal is to bring AI into the forefront by enhancing physician experiences, improving diagnostic accuracy and treatment efficacy, optimizing financial outcomes, and providing significant benefits for both patients and healthcare providers. Accessible from any validated device through the cloud, it offers rapid performance and easy deployment without the exchange of PHI, ensuring complete security. Fully connected to PACS, RIS, EMR, and dictation software, Arterys enhances your workflow without disruption. Its rapid deployment capabilities require minimal on-premise infrastructure, and it is commercially available in more than 100 countries. The platform's elastic cloud GPU architecture significantly boosts the performance of various tasks, such as rendering complex 3D files, handling large multi-dimensional datasets, and executing multiple AI applications simultaneously in real time. Additionally, features like pre-fetching and image caching contribute to quicker loading times and more efficient analysis, making it an indispensable tool in modern healthcare. This comprehensive approach positions Arterys as a leader in transforming medical imaging through artificial intelligence.

Thoughtful AI presents an all-encompassing, AI-powered approach to managing healthcare revenue cycles (RCM). Featuring advanced AI agents like EVA for verifying eligibility and CAM for handling claims, this platform streamlines even the most intricate and labor-intensive RCM tasks. Aimed at enhancing both efficiency and precision, it lowers operational costs, decreases denial rates, and speeds up the posting of payments. Endorsed by top healthcare organizations, Thoughtful AI ensures smooth integration, promises a return on investment, and effectively cuts down costs associated with collections, all while adhering to HIPAA-compliant security standards and offering performance-based assurances. This innovative solution is transforming the way healthcare providers manage their financial processes.

Chooch Autonomous Supply Chain Management uses AI to make hospital inventory rooms self-managing and continuously monitored. The platform connects smart cameras, analytics, and predictive automation to track inventory in real time, forecast demand, and trigger replenishment automatically. The Inventory Control Tower delivers live dashboards and predictive insights that give supply chain teams full visibility and control across every hospital site. Hospitals use Chooch to reduce waste, eliminate manual counts, and prevent stockouts that disrupt care.

Gesund stands as the pioneering compliant AI factory dedicated to facilitating the introduction of clinical-grade AI solutions into the market. In order to meet regulatory standards, our platform meticulously audits and validates third-party medical AI solutions, ensuring their safety, effectiveness, and fairness. Gesund seamlessly manages the entire AI/ML lifecycle for all participants by integrating models, data, and expertise within a user-friendly no-code environment. We offer standardized, cohesive, and diverse data tailored to meet your machine learning requirements and regulatory obligations. By evaluating the validation needs of models, Gesund.ai supplies an optimal combination of high-quality data sourced from its extensive network of clinical partners. Model owners can share their clinical studies with Gesund.ai to curate the necessary datasets, subsequently uploading their models onto Gesund.ai's federated validation platform, which can be situated on hospital premises or within a private cloud. Each model undergoes evaluation against a validation dataset that has been specifically curated on the hospital side, ensuring that the results are relevant and reliable, ultimately enhancing the quality of healthcare solutions. Through this comprehensive approach, Gesund not only supports compliance but also accelerates the path to effective AI deployment in clinical settings.