Best On-Premises Healthcare AI Software of 2025

AI agents that interact and answer questions with users and complete tasks using your data and APIs. AI that can answer questions, summarize and extract insights from any long document. Transfer styles and formats, as well as tags and summaries between documents and data sources. Stack AI is used by developer teams to automate customer service, process documents, qualify leads, and search libraries of data. With a single button, you can try multiple LLM architectures and prompts. Collect data, run fine-tuning tasks and build the optimal LLM to fit your product. We host your workflows in APIs, so that your users have access to AI instantly. Compare the fine-tuning services of different LLM providers.

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.

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.

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.

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.

Arterys serves as a cutting-edge medical imaging AI platform that seamlessly integrates advanced AI clinical applications into your current PACS or EHR workflows, enhancing the efficiency of your existing processes. By focusing on improving the experience of physicians, increasing diagnostic accuracy, enhancing treatment outcomes, and boosting financial performance, we are making AI a tangible reality for healthcare professionals. Accessible from any certified device through the cloud, it guarantees rapid performance and easy deployment without the need for exchanging protected health information, all while ensuring complete security. Arterys connects effortlessly with your PACS, RIS, EMR, and dictation systems, making it an integral part of your workflow. With quick setup requiring minimal on-site infrastructure, it is available for commercial use in over 100 countries. Our innovative elastic cloud GPU architecture significantly enhances task performance, whether it involves rendering 3D visuals, processing large multi-dimensional datasets, or executing multiple AI applications simultaneously in real-time. Furthermore, features like pre-fetching and image caching contribute to quicker loading times and more efficient analysis. In doing so, Arterys not only streamlines operations but also aligns perfectly with the evolving demands of modern healthcare delivery.