ProductsConsoleInsights
THE PLATFORM

The demand ontology.

A structured model of market demand, buyer behavior, competitive dynamics, and channel effectiveness. AI agents operate on this model to discover what markets want and create the demand to capture it.

THE ONTOLOGY

Objects and actions that mirror the real world.

Like Palantir maps aircraft, shipments, and patients into an operational ontology, Voltaire maps the marketing universe into structured objects and actions that AI agents can operate on.

Objects (Nouns)

Market SignalDemand trend, search spike, AI query pattern, competitor move
Audience SegmentGroup of people with shared intent, behavior, and needs
Buyer JourneyPath from unaware to interested to evaluating to buying
ProductWhat the client sells or could sell
CompetitorPositioning, content, pricing, share of voice, GEO presence
ChannelWhere attention lives: AI search, organic, paid, social, email
Demand GapWhere the market wants something nobody is serving well

Actions (Verbs)

Detect DemandIdentify rising intent signals before competitors
Map WhitespaceFind gaps between what the market wants and what exists
Validate ConceptTest product positioning with real demand signals
Launch CampaignOrchestrate multi-channel execution against a segment
Shift BudgetMove spend to where the marginal return is highest
Respond to CompetitorDetect competitive move, formulate response, execute
THE COMMAND CENTER

Five layers of intelligence.

Layer 1

Market Intelligence

What do people want to buy?

Demand signal trackingAI visibility mapCompetitive radarWhitespace detection
Layer 2

Audience Intelligence

Who are these people and what moves them?

Behavioral segmentationConversion patternsAccount signalsJourney intelligence
Layer 3

Performance Intelligence

What is working and what should we do next?

Channel effectivenessCausal attributionPredictive budget allocationContent ROI
Layer 4

Autonomous Operations

What is Voltaire doing right now?

Active campaignsDecision logActions pending reviewIteration velocity
Layer 5

Compound Learning

How does the system get smarter?

Cross-client patternsPrediction accuracyIntelligence depthCompetitive advantage score