JuWei AI Grid Worker

Deep NLP analysis of data content — meaning, context and intent — with automatic tagging of sentiment, categories and departments.

Connects multiple LLMs with a multi-level architecture, plus multimodal AI — speech-to-text, image OCR and face recognition — combined with APIs and vector stores.

Centrally manages and coordinates agents and services; loose coupling and rich middleware make applications fast to build and easy to run.

Sentiment, topic and domain data tagged automatically by AI, visualized with big-data analytics.

Interactive digital humans talk to residents face to face, speeding up service and cutting waiting time.

The digital grid worker appears as a digital human across mobile devices, offering rich service entry points.

Digital grid workers built into community chat groups bring the convenience of AI to residents.

Tree-view management of groups, members and tags, activity rankings, plus kick/warn policies and sensitive-word control.

Broadcast announcements and group sign-ups to many groups at once — live or scheduled — with one-click participation export.

Search group messages against a keyword library, showing trigger levels and message details, with one-click export.

Scheduled pushes of text, images, videos, mini-programs and video feeds, backed by an article and video asset library.

Activity rankings, topic-type distribution and multi-dimensional hot-topic analysis.

Negative-message statistics and alerts by topic, area and the group where it first appeared.

Positive/neutral/negative share of messages across the organization, with trend lines.

Group heat, hot-word clouds and key events composed into shareable reports with previews.