See the Full Picture
Every Signal. Every Source.
Combining behavioral data, user feedback, community reviews, and internal knowledge bases to provide Agents with full context to make decisions, enhance attribution accuracy and better business insight.
Omni-Source Data Fusion
Behavior Data
- Login, Activity, Retention
- Payment, Conversion, Funnel
- Level, Task, Achievement
- Social, Team, Guild
User Feedback
- Support Logs
- App Store Reviews
- Survey Results
- Complaint Tickets
Community Opinion
- TapTap, Gamer Market
- Weibo, RedNote
- Bilibili, TikTok Comments
- Discord, Forums
Internal Knowledge
- Product Docs, Design Specs
- History Review, Summaries
- Industry Reports, Analysis
- FAQ, Best Practices
The Power of Omni-Awareness
Data Analysis AgentThe root cause of the drop is the overpriced gift pack. User feedback and community opinions consistently point to pricing. Combined with sensitivity data, a 20% price reduction is recommended.
"Behavior data only tells you 'what' dropped; omni-source fusion tells you 'why'."
Data Analysis AgentThe root cause of the drop is the overpriced gift pack. User feedback and community opinions consistently point to pricing. Combined with sensitivity data, a 20% price reduction is recommended.
"Behavior data only tells you 'what' dropped; omni-source fusion tells you 'why'."
Core Omni-Aware Capabilities
Build a technical foundation for precise Agent decision-making
Omni-Source Data Access
Integrate user behavior, feedback, social chatter, and knowledge sources to breakdown data silos and build a 360° view to inform Agent decisions.
- Seamlessly connect SDK behavior data, support feedback, community opinions, and internal docs
- Unify semantic standards for heterogeneous data, transforming unstructured text into context
- Support full historical archiving and real-time incremental syncing for long-term memory
Business Context Semantic Understanding
Uses LLMs to turn unstructured feedback from any channel into context your Agents can act on.
- End-to-end intent alignment: Automated parsing of core needs in complex interactions
- Multi-modal semantic aggregation: Unify unstructured data from different sources
- Expert-level scene adaptation: Adapt to professional terminology and logic in vertical domains
Global Correlation Analysis
Automatically discover latent clues and causality between data sources to assist Agents in scientific attribution judgment.
- Full-link attribution of heterogeneous data across sources for complete context
- Multi-dimensional automated root cause diagnosis for millisecond positioning
- Expert execution plan recommendation based on high-confidence historical success
Build a 360°Panoramic View for Agents
See clearer with deeper insight
