AI Labs
Symphony works with Clients to Infuse GenAI to Drive Operational Efficiencies
Healthcare organization leaders recognize that the power of AI can help optimize workflows and reshape their workforce. Symphony offers a scalable AI strategy with a healthcare-specific, AI-ready platform that can scale across the enterprise, encompassing multiple functional areas to meet current and future use cases. Our solution keeps pace with evolving GenAI tools and offers the ability to refine LLM models with your data, minimizing hallucinations and increasing accuracy, consistency, and business context.
Cutting Edge Innovation
The Symphony AI Lab is a hub of creativity and forward-thinking, where our team of data scientists, engineers, and healthcare experts collaborate to push the boundaries of artificial intelligence in healthcare. Here, we explore the vast potential of AI and machine learning technologies to solve complex healthcare challenges.
Our projects range from developing predictive analytics models that forecast patient health outcomes to creating intelligent systems that automate routine tasks, freeing up healthcare professionals to focus on patient care.
Cross-Disciplinary Team
The Symphony AI Lab brings together domain experts across healthcare, engineering, and data science.
Engineers, doctors, nurses, data scientists, and other specialists provide critical context on clinical workflows and real-world complexities. This domain knowledge is foundational in developing viable AI solutions.
Together, this diverse ensemble of talent enables the rapid translation of ideas into innovative AI applications. Our team composition reflects the multifaceted nature of healthcare, which requires integrating various perspectives into a patient-centric approach.
AI/ML Infrastructure Services
By leveraging scalable cloud platforms like Azure and AWS, our systems can manage vast healthcare datasets, intensive model training, and on-demand inference with enterprise-grade security.
We use robust tools like UiPath to develop intelligent process automation bots that learn repetitive administrative workflows.
Our data scientists utilize leading open-source frameworks, such as Tensorflow, PyTorch, and HuggingFace as well as commercial platforms such as Google AI Studio, and Microsoft AutoGen Studio 2.0 to rapidly build, fine tune, and operationalize advanced AI models.