Case Study

NavaTech: An AI Safety Copilot Built for Construction Sites

We built an AI safety copilot that turns live site data into instant WhatsApp alerts, helping construction teams spot hazards faster, reduce accidents, and communicate safety information in over 50 languages.

59%

Fewer On-Site Accidents

Faster Hazard Detection

$750K

Seed Funding Secured

PROJECT OVERVIEW

Connecting Workers and Site Data Through One Safety Copilot

With Conversational AI for Site Safety

Navatech, a UAE-based technology company, set out to address one of the construction industry’s most persistent challenges: keeping workers safe on fast-moving, high-risk sites. With safety incidents linked to significant financial and human cost, Navatech wanted to build an AI solution that could reach every worker directly, in their own language, without requiring new hardware or extra training.

MindInventory partnered with Navatech to build a WhatsApp-based safety copilot that combines computer vision, predictive analytics, and conversational AI. The platform lets workers report hazards through their phone cameras, receive instant safety alerts in over 50 languages, and gives managers real-time visibility into site risk, all through tools their teams already use every day.

Objectives

What ClaimClarity Set Out to Achieve

Detect safety hazards instantly from photos and site observations
Deliver real time safety guidance in workers’ native languages
Automate compliance reporting and audit ready documentation
Identify emerging risks before they become workplace incidents
Streamline safety workflows, task management, and issue resolution
Scale seamlessly across projects, contractors, and multiple job sites

CHALLENGES

Modern Construction Demanded a Smarter Safety Approach

Fragmented Safety Data

Safety information was scattered across site inspections, cameras, sensors, spreadsheets, and messaging apps, making it difficult to maintain a single, real time view of site risks.

Multilingual Workforce Communication

Diverse construction teams required safety alerts and guidance to be delivered instantly in each worker’s preferred language, ensuring clear communication across the job site.

Delayed Hazard Detection

Hazards were often identified only after manual inspections or incident reports, delaying corrective action and increasing the likelihood of workplace accidents.

Manual Compliance & Reporting

Safety reporting, incident documentation, and regulatory compliance relied heavily on manual processes, consuming valuable time while increasing the risk of inconsistencies and non-compliance.

SOLUTION

Here’s What We Built

An AI powered construction safety copilot that helps teams identify risks, communicate instantly, and automate safety operations.

Built a WhatsApp native AI copilot that enables workers to report hazards, receive instant safety guidance, and access critical information without installing another application or changing their existing workflow.

Integrated computer vision using YOLO models to identify on site hazards from smartphone images, enabling workers to detect risks such as damaged equipment, loose debris, and unsafe conditions in real time.

Leveraged machine learning to analyze safety trends and identify potential risks before they escalate into workplace incidents, enabling proactive safety management.

Streamlined incident reporting, safety documentation, and compliance workflows by automatically generating structured records and audit ready reports.

Developed role based dashboards for administrators, supervisors, and site managers to monitor safety incidents, assign corrective actions, track team performance, and oversee multiple construction sites from a single platform.

Built a scalable cloud native platform using ReactJS, Python, FastAPI, Google Cloud, and AWS to support growing workforces, distributed construction sites, and enterprise scale operations with high availability.

AI & Computer Vision

AI powered hazard detection

Real time image based risk analysis

Automated risk prioritization

Conversational Safety Engineering

WhatsApp native AI assistant

Multilingual communication across 50+ languages

Instant safety guidance and training resources

Cloud & Data Infrastructure

Built on Google Cloud and AWS

Centralized safety and operational data

Designed for multi-site enterprise deployments

Tech Stack

ReactJS Python FastAPI Google Cloud Platform YOLO (Computer Vision) AWS WhatsApp Business API

THE RESULTS

Turning Construction Safety into Real Time Intelligence

The AI safety platform helped Navatech modernize safety operations by enabling faster hazard detection, improving workforce communication, and supporting enterprise scale deployment.

59%

Reduction in On Site Accidents

AI powered hazard detection and real time multilingual communication enabled teams to identify and address safety risks before they escalated into workplace incidents.

Faster Hazard Detection

Computer vision and WhatsApp based workflows accelerated hazard identification compared to traditional manual inspection processes.

65%

Improved Team Coordination

Real time, multilingual communication enabled workers, supervisors, and safety managers to coordinate more effectively, reducing delays in responding to on site safety concerns. This is broader than "Worker Collaboration" and sounds more executive friendly.

US$750K

Seed Round First Close

The platform helped strengthen Navatech's AI safety solution, supporting its successful US$750K first close of a planned US$3M seed funding round.

NEOM

Enterprise-Scale Validation

NEOM partnered with Navatech for workplace safety, validating the platform for large, complex, multi-site operations.

Ready to Build Your Next-Generation FinTech Platform?

From trading platforms and investment apps to digital wallets and wealth management solutions, MindInventory helps you design, engineer, and scale secure digital financial products.

Let's Build Together