Start with our market model. Build the intelligence view your business needs.
Use the DentalCensus base intelligence model as a foundation, then configure a customer-specific model around an objective, entities, dimensions, thresholds, snapshots and outputs. AI agents help structure and explain the model while source lineage and uncertainty remain visible.
Signal panel
Public figures are dated, source-aware snapshots. See the data page for definitions, denominators and missingness rules.
What this lens contains
Signals that answer a commercial question.
- Customer objective and decision definition
- Selected entities, dimensions and intersections
- Rules, thresholds and change windows
- Lists, dashboards, reports, alerts or API outputs
Why it matters
Make the next decision with more context.
A manufacturer can define a territory model around product fit, growth, technology gaps and rep coverage.
An investor can build an acquisition-screening model around market potential, network structure and practice momentum.
A DSO can create a whitespace model that combines independent locations, demographics, services and change over time.
Continue the path
Go deeper where the decision lives.
Questions
What is a customer intelligence model?
It is a defined analytical view built around a customer's decision: the objective, entities, signals, intersections, thresholds, time window and output are made explicit instead of relying on a generic dashboard.
What do AI agents do in the model-building process?
AI agents can help translate a business question into candidate dimensions, rules, explanations and outputs. They do not invent observations, silently change source meaning or hide uncertainty; the model remains evidence- and review-led.