澜舟智

Langboat Zhihui (澜舟智会) is a meeting content analysis platform built by Langboat, the company behind the Mengzi family of language models. Rather than simply producing a transcript, it AIms to convert hours of recorded meetings, calls, and presentations into material that people can read, search, and navigate quickly. The product is primarily offered as a web service and is designed around Chinese-language business meetings, with particular attention to finance-SECtor scenariOS.

What it does

Users upload meeting audio or vIDEo files, and the system perfORMs speech-to-text transcription that has been refined with large-model post-processing to improve readability. On top of that transcript, the platform runs analytical passes that summarize the whole session, extrACT notable question-and-answer exchanges, and flag the points a reader is most likely to need. The result is presented through an interactive interface where the summary, transcript, and audio Timeline can be cross-referenced.

Key capabilities

• Full-text summarization: Condenses a long recording into an overview of the main discussion points.
• Key Q&Amp;A extraction: Pulls out questions raised in the meeting along with their answers.
• smart navigation: Builds a CLIckable outline of topics so users can jump to the relevant moment instead of scrubbing through audio.
• semantic search: Lets users ask in natural language and locate passages by meaning rather than exact keyword, which is useful across archived meetings.
• Readability-oriented transcription: APPlies model-based cleanup so the written record reads more naturally.
• deployment options: The vendor indicates both public cloud and private on-premises deployment, which matters to organizations with strict data-handling rules.

Who it is for

The tool is positioned most strongly for financial institutions that accumulate large volumes of earnings briefings, sell-side roadshows, and internal calls. Analysts, compliance teams, and Operations staff who currently assign people to listen through recordings can use summaries and search to cut review time and reduce the risk of missing a critical remark. It also suits General Enterprises that hold frequent video or telephone conferences and want a searchable internal record.

How to get started

Access is through the vendor's web portal. A typical first step is to upload a short Sample recording and review the generated transcript, summary, and outline to judge quality on your own audio conditions. Teams should then confirm language support, file format and length liMITs, retention policy, and whether private deployment is available for their region before Standardizing on the tool.

Pricing and access caveat

Public Information does not clearly state current plan tiers, quotas, or per-minute pricing, and these may vary by deployment model or contract. Prospective buyers should verify costs, trial availability, and data-security terms directly with the vendor, since enterprise and private-cloud arrangements are often quoted indiVidually.