AI Platform to help local governments in developing countries improve resource planning and community services for 1.5 million citizens of underserved areas.

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Organization

Polisense AI

Location

Peru

Project size

Large

Expected timeframe

6–12 months

Budget

Pro Bono

Requested services

Digital Platform

AI-Based Solution

Overview

Empower communities with actionable intelligence that transforms fragmented data into sustainable solutions, enhancing lives and opportunities for millions.

The problem
What's already in place
Project scope
Users and functionalities
Success vision
Supporting resources

The problem

Problem statement

Community development projects in many developing regions often fall short due to fragmented data, disconnected systems, and plans that fail to reflect local conditions. This challenge spans multiple sectors, from energy and water to agriculture and other vital resources. As a result, millions of people, particularly in rural and peri-urban areas, continue to experience inadequate living standards and limited opportunities. Local governments are motivated to drive improvement but lack an integrated, reliable platform to consolidate data and translate it into effective, sustainable action.

Project details

Solution Objectives and Milestones

Our goal is to build a unified AI platform that helps public leaders make faster, data-driven decisions in energy, resource management, and sustainability. The solution connects scattered geospatial and administrative data into one trusted system and turns it into actionable intelligence for local governments. Objectives Integration:
- Combine geospatial, technical, and administrative datasets such as satellite imagery, surveys, barriers, and regulations into one platform accessible to municipalities and regional authorities. AI analysis:
- Use machine learning to analyze this data in real time and recommend practical actions, for example prioritize solar microgrids in Zone A to reach 100000 people with 20 percent lower emissions. Decision support:
- Provide clear reports, dashboards, and scenario comparisons to help governments select the most feasible and sustainable projects. Accessibility:
- Develop mobile and voice enabled features so non technical users and citizens can easily access and understand insights, regardless of education level or literacy barriers. Scalability:
- Enable deployment across multiple countries and languages, adapting to different regulatory and environmental contexts.

Milestones: Phase 1 - (0 to 6 months): Expand the pilot in southern Peru to the most relevant municipalities. Integrate satellite data processing and improve dashboard usability. Phase 2 (6 to 12 months): Launch international pilots in Jordan and Mozambique. Train 200 new public servants and refine AI models for multilingual and context aware recommendations. Phase 3 (12 to 24 months): Deploy Polisense in 5 countries, serving 1000 public servants and generating over 2000 AI driven decision reports per month. Integrate predictive modeling to assess project risks before implementation

What's already in place

See current solution

hosting_domain, datasets, content

Team

José Pastor, Co founder and Head of AI Products Role and responsibilities Lead product strategy and AI integration. Owns model development roadmap, product management, and government partnerships.

Bruno Galdos, Co founder and Head of Technology Role and responsibilities Lead architecture, AI engineering, Responsible for system design, data pipelines, and integration with government systems.

Project scope

Tasks

Enhance Polisense with a satellite data processing module capable of ingesting, cleaning, and converting raw imagery into validated geospatial layers for analysis.
Build a voice-enabled mobile interface that connects directly to the existing Polisense web platform, providing accessible, low-literacy user interaction and real-time citizen data submission.
Develop a router AI model for precise geospatial validation, enabling improved spatial accuracy, and standardized data quality across regions.

Users and functionalities

Users and Functionalities

Polisense is designed for public servants, regional planners, and citizens who need reliable data to make or understand decisions about energy, resources, and sustainability.
Primary users are municipal and regional officials responsible for planning, budgeting, and managing public infrastructure. They use Polisense to gather and analyze geospatial, technical, and administrative data in one place. The platform allows them to ask questions such as “Which areas should receive solar expansion first?” or “Where are the highest risks of water shortage?” and receive clear, AI generated recommendations ranked by cost, impact, and feasibility.
Secondary users include national agencies, development partners, and researchers who rely on transparent reports and dashboards to evaluate policy outcomes and compare project performance across regions.
Citizens can also access Polisense through a simple mobile voice interface to check project updates, report local issues, or suggest community priorities. This feature ensures inclusion for people with limited education or literacy barriers, allowing everyone to participate in decisions that affect their daily lives.
Core functionalities include data integration, real time AI analysis, automated report generation, scenario comparison, and accessibility tools such as voice interaction and multilingual support. Together, these features make Polisense a complete decision support system for sustainable and inclusive governance.

Success vision

External impact:

The project will significantly expand the reach and quality of services delivered to communities in developing regions worldwide. By strengthening Polisense with satellite data processing, a citizen-accessible voice-enabled app, and an AI model for accurate geospatial validation, local governments will be able to plan and deliver interventions with higher precision and fewer failures.
These improvements will directly benefit residents in rural and peri-urban areas who often experience limited access to energy, water, farming support, and other essential resources. More reliable geospatial data and better decision guidance will help governments prioritize the right areas, reduce delays, and design solutions that match real community needs.
The voice-enabled mobile app will extend access to citizens who may have limited literacy or technological experience, allowing them to report issues, share local knowledge, and follow project updates. This creates a more inclusive planning process and ensures that vulnerable groups are not left out.
Overall, the project will potentially increase the number of beneficiaries to 1.5 million, improve the accuracy of public resource allocation, and enhance the quality and sustainability of community development projects across multiple sectors.

Internal impact:

The project will strengthen Polisense’s internal operations by increasing system efficiency, reducing manual data handling, and improving the overall quality, reliability, and speed of information processing. Integrating satellite data processing will automate the preparation and validation of geospatial datasets, significantly decreasing turnaround times and reducing dependency on external tools. This enhancement will improve data accuracy, lower operational costs, and enable the platform to handle larger and more complex geospatial workloads with minimal human intervention.