The assistant functions by mapping user inquiries to a validated knowledge space, moving beyond simple information retrieval to execute authorized system actions. By automating repetitive tasks, the tool aims to shift focus back to patient care and complex judgment calls. Each action taken by the AI requires user confirmation and remains tethered to existing permissions and audit trails to meet strict regulatory standards.
Suvoda deploys Sofia AI to automate clinical trial workflows
Clinical trial teams often struggle with the mounting pressure of tracking drug inventory and patient schedules across global sites. Suvoda is now addressing these bottlenecks by rolling out Sofia, an AI assistant integrated into its RTSM and eCOA platforms, designed to handle routine operational tasks and accelerate data-driven decision-making.
Early adopters, including Daiichi Sankyo, have integrated the assistant into daily workflows to streamline document summarization and system navigation. Unlike general-purpose models, the system operates under a zero-data retention policy and avoids using customer information to train public models. The assistant currently supports over 40 distinct topics, with capabilities expanding to match the specific needs of sponsors and research organizations.
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