Digital Health is experiencing a period of rapid growth, with new technologies being adopted across all stages of life sciences and healthcare. From clinical trials to diagnostics, treatments, precision medicine, monitoring, and consumer applications, a wide range of expertise is essential to bring these innovations to market.
Our team specializes in developing digital strategies and solutions for digital therapeutics, connected medical devices, and Software as a Medical Device (SaMD) to speed time to market. Our predictive models are trained to monitor health conditions and trigger alerts when necessary, ensuring patients receive timely and appropriate care. We work with digital health teams to create a comprehensive digital strategy that takes into account all aspects of the technology, including data, algorithms, architecture, integrations, and user experience for both patients and providers.
Our companion applications are designed to optimize patient engagement and capture valuable real-world data. We design and implement secure and scalable cloud infrastructure that supports MLOps considerations such as collaboration, traceability, model monitoring, and maintenance. With our support, digital health teams can focus on developing innovative solutions while we handle the complexities of designing and implementing secure and scalable digital infrastructure.
Develop digital strategy
Develop analytics to gain insight and generate evidence from clinical trial and real world data
Design and build companion applications
Train predictive models to diagnose, alert or monitor
Capture real-world data
Full stack AI applications for connected medical devices and Software as a Medical Device (SaMD)
Cloud-scale bioinformatic and NLP solutions for faster drug development & target validation
Data science platforms and cloud architecture to support the datascience lifecycle and enable scalable model performance
Cloud-scale bioinformatic and NLP solutions for faster drug development
From strategy to deployment, we partner with you where you are in the AI/ML lifecycle.