Abridge is built on a proprietary Contextual Reasoning Engine that combines large language models (including OpenAI's frontier models like GPT-5.5) with clinical-grade safety layers to eliminate hallucinations and ensure documentation accuracy. The platform operates across the full care workflow — pre-visit context aggregation, real-time ambient transcription and note generation during encounters, and post-visit finalization of notes, coding, and patient summaries. It supports 28 languages and integrates with major EHR systems. Abridge publishes peer-reviewed research and whitepapers on AI evaluation methodology, confabulation elimination, and clinical quality rubrics, reflecting a rigorous ML-ops and safety-first architecture.