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Case Study — Enterprise / AI

Edalca

Digitizing fire safety compliance at scale across Latin America

1K+
Inspections/mo
6
Month Build
80%
Time Saved

The Challenge

Venezuela's fire safety compliance system was entirely manual. Building managers, facility owners, and inspectors relied on paper-based processes and spreadsheets. This created massive inefficiencies: inspections took hours to document, compliance records were scattered and inaccessible, and scaling across regions was nearly impossible.

Edalca was tasked with building a complete digital transformation—a platform that would digitize every aspect of fire safety inspection, documentation, and compliance tracking. The solution needed to handle complex regulatory requirements, serve multiple user types, and scale across Venezuela and the broader Latin American market.

Project Details

Client: Enterprise Fire Safety Compliance

Timeline: 6 months

Team: 8 engineers

Tech Stack: Next.js, Python, AI Agents, PostgreSQL, AWS

edalca.com / dashboard
Edalca Dashboard

What We Built

🤖

AI Inspection Reports

Automated report generation using computer vision and natural language processing. Inspectors capture photo evidence on mobile, and AI agents instantly extract compliance data, generate detailed reports, and flag violations.

⚙️

Equipment Lifecycle Management

Track every fire safety asset—extinguishers, alarms, suppression systems—across all locations. Automated alerts for maintenance schedules, certifications, and compliance expirations.

🌍

Multi-Region Compliance

Support for varying fire safety codes across Venezuela and other Latin American countries. Customizable compliance rules, localized reporting, and real-time regulatory updates.

📊

Operations Dashboard

Real-time visibility into compliance status across all inspections. Role-based dashboards for inspectors, building managers, and compliance officers with custom analytics and export capabilities.

Development Timeline

Month 1-2
Discovery & Architecture
Deep dives into Venezuelan fire safety regulations, user interviews with inspectors and building managers, system architecture design, API planning.
Month 3-4
Core Platform Development
Full-stack development of web dashboard, mobile inspection app, AI report generation pipeline, authentication and role-based access control.
Month 5
Integration & Testing
Integration with existing compliance databases, extensive QA testing, performance optimization, security audits, multi-region testing.
Month 6
Launch & Support
Phased rollout to pilot inspectors, training sessions, performance monitoring, real-world optimization, ongoing support and improvements.

Impact & Results

0
Inspections per Month
0
% Time Saved
0
Active Inspectors
0
Min Report Generation
0
Countries Deployed

Technology Stack

Next.js
Python
FastAPI
PostgreSQL
AWS EC2
S3
Vision API
GPT-4
Stripe
Redis

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