Source connection
Designed to support public, customer-authorized, administrator-authorized, partner-supplied, manually submitted, and approved feeds.
How It Works
From authorized signal to prioritized opportunity
A high-level view of the planned LeadStore.ai architecture and the boundaries that guide it.
Event normalization
The platform will organize permitted source events into a consistent structure for further analysis.
Language understanding
Early versions will focus on Arabic, English, mixed-language content, location, and regional business terminology.
Buying-intent classification
Models are planned to distinguish active commercial needs from general discussion, with uncertainty kept visible.
Customer matching
The platform will compare signals with customer-controlled markets, industries, services, and targeting rules.
Lead scoring
Designed to prioritize likely relevance using context such as geography, urgency, and commercial fit—not guarantee quality.
Alerts and integrations
Planned delivery options include business alerts and future CRM or communication integrations where supported.
Human judgment remains essential
A score helps prioritize attention. It does not decide the outcome.
Customers define targets, review source context, assess relevance, choose how to respond, and remain responsible for lawful outreach and business decisions.
Visible source contextCustomer-controlled targetingUncertainty awarenessOutcome feedback
Early access
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