01
Context
Every community signal is placed in its real situation: who, where, when and what.
Available todayCurrent product
A-03Community Intelligence
understands the physical community.
MiParcelaPro combines identity, geography, events and community activity so AI can understand what is happening across the physical community. It runs today on the same verified model as Community Core and Access: it is not roadmap or a future vision.
How it correlates: identity, places and events on the same model.
A-04What it does
Community Intelligence capabilities
Understanding over real context: identity, geography, events and community activity.
02
Correlation
Related signals and events are grouped instead of arriving as isolated noise.
03
Geographic understanding
Analysis runs over the community's real geography: zones, access points and distances.
04
Event analysis
Community events are interpreted with their context and history.
05
Prioritization
Information is ordered by relevance and context, not by arrival order.
06
Summarization
Summaries of community activity and events to reduce noise.
07
Community-level insights
The unit of intelligence is the community, not an isolated record.
08
AI-assisted coordination
Support for community coordination on top of the shared context.
A-09 · Interactive demoDemo data
Community Intelligence turns community data into context.
A simulated community: follow how signals from identity, geography, access and events become context, intelligence and suggested action. Pick a scenario and explore the map.
Signals
Context
Intelligence
Action
Explore scenarios
Community view unavailableThe intelligence panel and scenarios remain available.
Interactive demo over a fictional community model. Numbers, identifiers, times and coordinates are illustrative demo data: they do not represent real people, vehicles, properties or events.
AI-01How it thinks
From signal to action.
AI works over the community model, not over isolated records.
Signals
01Distributed inputs from the physical world.
- phones
- access
- events
- reports
- community activity
Context
02Every signal in its real situation.
- who
- where
- when
- what
- history
Community intelligence
03Understanding over the shared model.
- correlation
- event analysis
- prioritization
- summarization
- insights
Coordination
04Support for community coordination.
- alerts
- AI-assisted coordination
- decisions
The AI layer works on the same verified community model: it reasons about real places, real people and real permissions, not anonymous logs.
S-01 · Telemetría de impactoWhat it understands
Signals that already become context.
The unit of intelligence is the community, not an isolated record.
M-01
Context
Every signal placed
Who, where, when and what is nearby.
M-02
Correlation
Grouped events
Instead of isolated noise.
M-03
Geography
Analysis by territory
Zones, access and distances.
M-04
Summary
Less noise, more focus
Prioritization and community insights.
Q-00 · SUPPORTQuestions about Intelligence
AI over the shared model.
How it understands the community without inventing what it does not know.
No. It is an understanding layer over the community's verified model: it works with real places, people and permissions.
Respuesta en 1 día hábil
Another question about the module?
Let's talk about how it fits your community's reality.
Intelligence runs today
Activate Community Intelligence
We will review how to integrate it with your community's current operation.
- Implementación guiada, sin frenar la operación del comité
- Datos de tu comunidad siempre bajo tu control
- Soporte prioritario durante el primer mes
Response within 24 hours.