DrAid™ is a comprehensive AI assistant tailored for radiology, assisting healthcare professionals in analyzing X-ray images with high accuracy. Developed by VinBrain, the platform employs machine learning algorithms to identify various abnormalities, improve diagnosis speed, and prioritize patient care. It offers features like patient record management and treatment recommendations, enhancing the decision-making process in clinical settings. Whether in emergency rooms or outpatient clinics, DrAid™ empowers doctors with the tools necessary for precise and timely diagnostics.

Kyla MD Co-Pilot is an AI-powered assistant designed to enhance the clinical decision-making capabilities of healthcare professionals. It helps reduce the time healthcare providers spend on routine tasks, thereby improving overall efficiency. The tool can be integrated with existing EHR systems or used as a standalone web interface, allowing clinicians to focus more on patient care. Kyla MD Co-Pilot streamlines clinical workflows by providing intelligent assistance in real-time, helping doctors make better-informed decisions quickly and efficiently.

RapidAI's platform leverages artificial intelligence to support clinical decision-making in neurovascular emergencies, such as strokes and aneurysms. It integrates advanced imaging analytics with streamlined workflows, allowing physicians to assess and act on critical patient data rapidly. This results in improved patient outcomes by reducing time to treatment and improving diagnostic accuracy. RapidAI's tools are FDA-cleared and designed to optimize the clinical processes in emergency settings.

Dental Genius is an innovative AI platform that transforms dental practices by offering features such as automated patient data analysis, appointment scheduling, and personalized care suggestions. This AI agent helps dental professionals streamline their workflow, improve patient communication, and enhance the overall patient experience. By leveraging advanced machine learning algorithms, Dental Genius provides actionable insights to enhance treatment plans and optimize practice operations.

Lavaa Health is an advanced digital platform designed to reduce hospitalizations and prevent chronic conditions. It combines powerful data insights with next-generation clinical decision support to enable the best in proactive, preventive care. The platform allows healthcare professionals to monitor patient conditions, identify risks, and provide timely treatment, integrating seamlessly with existing clinical systems and EHR platforms.

Medvise is an innovative AI-based diagnostic platform tailored for medical professionals to streamline their decision-making process. By providing instant access to clinical guidelines, differential diagnoses, and treatment plans, Medvise helps reduce errors and improve patient outcomes. The platform utilizes advanced algorithms and a comprehensive database of medical knowledge to offer precise recommendations. Whether you are dealing with common conditions or rare diseases, Medvise is an invaluable tool that ensures you have the most relevant information at your fingertips.

PathAI's innovative AI platform focuses on pathology image analysis, enabling healthcare professionals to receive accurate diagnostic support. By utilizing machine learning models, PathAI enhances the detection of diseases from microscopic images, streamlining the diagnostic process and improving the efficiency of pathology departments. The platform supports pathologists in making better-informed decisions and improves the overall quality of care delivered to patients.

TxAgent is a web-based AI-driven platform designed to accelerate translational research and clinical decision support by analyzing multi-omics and clinical datasets. Users upload patient gene expression or mutation profiles, configure disease context and drug libraries, and run an automated pipeline that integrates network biology, machine learning models, and drug-target interaction databases. The agent returns ranked lists of single and combination therapies, toxicity-adjusted scores, pathway enrichment analyses, and interactive network visualizations to guide experimental design and therapeutic hypotheses.