Enterprise Intelligence

Explain, don't just show: internal conversations turned into decisions

Bring together conversations, wikis, and internal sheets to uncover patterns, validate hypotheses, and align teams. Below is an illustrative walkthrough with sample data.

1. Ingest

Connectors to SharePoint, Google Drive, CRM, and knowledge bases. Secure indexing and granular access controls for conversations.

2. Understanding

Entity, relationship, and metric extraction. Semantic enrichment and disambiguation.

3. Decision

Dashboards, alerts, and natural-language answers. Validate sales, research, and performance.

Conversations processed
1,240
Entities extracted
15,840
Relationships detected
3,120
Actionable insights
480
Monthly revenue: actual vs target and forecast

Illustration: targets come from OKR docs and actuals from finance reports. The forecast is calculated from historical performance.

What does it deliver?
  • Reconcile numbers across Finance, Sales, and Marketing.
  • Spot deviations versus target in real time.
  • Explain the "why" with references to internal conversations.
Insight origin by source

Aggregated example: which repositories yield more useful findings. Optimize where to invest in curating conversations and content.

Cumulative: conversations, entities, and insights

Evolution example: as conversations grow, so do entities and relationships — and the resulting business insights.

Want to see this with your data?

We activate connectors and tailor ontologies in days, not months.

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