SayWe AI Voice Assistant

SayWe AI Voice Assistant is a professional speech-to-text and summarization system built for high-security environments with heavy meeting-transcription needs. Its core purpose is to help enterprises and organizations automate the transcription of meetings, interviews, and on-site conversations, reducing manual transcription work while keeping the output readable, auditable, and editable.

The system supports both an on-premises application and a cloud API, so clients can choose the option that best fits their required security level, operating environment, and integration needs. In the content pipeline, users feed recordings, on-site captures, or live microphone input into SayWe, which first performs high-accuracy speech recognition — including speaker separation, mixed Chinese/English speech handling, and background-noise suppression — to ensure clear, accurate transcripts.

After transcription, SayWe uses a large language model to generate formatted summaries such as bullet-point highlights, meeting summaries, decisions, and action items, helping users quickly obtain meeting records ready to publish or use for project tracking. To meet the data-security and internal-control requirements of government agencies, financial institutions, hospitals, and large enterprises, SayWe also offers a fully offline mode in which all voice and text data can be processed entirely within the client's internal network, with nothing sent to an external cloud, significantly reducing the risk of data leakage.