Dimension Labs connects your customer conversation data with revenue and lifecycle metrics to prove why customers churn, where expansion hides, and which accounts to act on now.
Revenue does not decline overnight.
The causes appear first in conversations.
Unified Data & Enrichment
Your support transcripts, sales calls, NPS verbatims, and CRM data all live in different systems. Dimension Labs connects them and builds the Meaning Layer: every interaction enriched with Dimensions like churn risk, competitive intent, and expansion signal.
Causal Intelligence Engine
Ask any revenue question in plain English. The agent queries across enriched conversation data and structured revenue metrics, identifies causal patterns, controls for confounders like tenure and segment, and returns findings backed by statistical evidence.
On-Demand Intelligence Reports
Define a reporting objective. The agent builds the plan, executes it against your full dataset, and produces a polished deliverable: executive summary, causal findings, visualizations, and recommendations. Repeatable quarterly. Exportable as HTML, PDF, or slides.
System-Level Dimensions
Custom Dimensions per Business Objective
Multi-Dimension Orchestration
Output Validation - "hallucination" or drift check
Internal Vector Embeddings & Semantic Similarity
Dynamic Clustering & Theming
Multi-Dimensional Consolidation
Export ability to data warehouse
Generate causal reports, visualizations, and executive intelligence: on demand or scheduled
Plug into existing B.I tool of choice (Tableau, PowerBI, Hex)
Export via API to any warehouse (Snowflake, Databricks, BigQuery)
Dimension Labs has become the default insight layer across the company.
