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WhatsApp Safety Companion

AI-powered safety incident detection and reporting via WhatsApp

Monitors WhatsApp group conversations to detect safety hazards, analyze images, and automatically generate incident reports for construction teams. The platform uses AI to identify safety violations and hazards from text and media, then exports standardized incident reports to external systems and CSV/Excel.

Pricing
contact the vendor
Alternatives
HammerTech, TRAYD, ALICE
Who it's for
Construction, Safety
$3M raisedEarly Stage
Founded 2018 · NEOM City, Acwa Power, JLL, Ferrovial, Atkins Realis, BK Gulf LLC, Colain, Madigan Gill, WSP, ZAAD Development (10+ partner organizations)
Website → ← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Construction teams rely heavily on WhatsApp for daily site communication, but critical safety information gets lost in message streams. Safety incidents are reported manually and inconsistently, creating gaps in hazard documentation and delayed incident response. Supervisors lack visibility into safety violations happening across multiple WhatsApp groups.

The Solution

Monitors WhatsApp group conversations in real-time to automatically detect safety hazards from text messages and images using AI image analysis and NLP. Generates standardized incident reports that can be exported to external safety management systems, CSV/Excel, or other platforms. Provides structured incident documentation and safety intelligence from unstructured chat data.

USAGE

How You Use It

Delivery Method
SaaSMobile AppWhatsApp Integration
Integrations
WhatsAppThird-party safety systemsCSV/Excel export
Disciplines
Construction
Workflows
Coordination & Delivery
Project Phases
Construction Administration
Project Types
Commercial, Residential, Mixed-Use, Infrastructure, Industrial
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:WhatsApp group conversations, Construction site photos/images
Optional:Safety protocols, Custom hazard definitions, Project specifications
Formats:WhatsApp messages (text), JPG, PNG, Video messages
Output
What you get
Format:Standardized incident reports with detected hazards and safety violations
Fields:Detected safety hazards and violations, Incident classification and categorization, Image analysis results (hazard detection), Timestamp and location (if available), Severity assessment, Recommended actions, Exportable incident records
Algorithm
How it works
Model:Proprietary AI for safety hazard detection (nAI platform)
Accuracy:Not publicly specified
Privacy
How your data is protected
Retention:Not publicly specified
Training:Not publicly specified whether conversation data is used for model training
Compliance:Not publicly specified
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
USE CASES

Use Cases

  • ·Real-time detection of safety violations from site communication
  • ·Automated incident reporting from WhatsApp conversations
  • ·Image-based hazard identification from jobsite photos
  • ·Multi-site safety monitoring and incident consolidation
  • ·Integration with external safety management systems
  • ·Compliance documentation and incident audit trails
PRICING

Pricing

Free
Free trial available (7-30 days)
Pro
Contact vendor for pricing
Enterprise
Custom pricing for larger deployments
Sources & Research NotesResearch date: 2026-04-03
Data Sources (8)
Fields Checked (21)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, vendor, website, fundingTotal, yearFounded, maturityStage, customerBase, input-required, input-optional, input-formats, output-format, output-fields, algorithm-approach, control-features, useCases, pricing-free
Not Found (9)
privacy-policy-document, data-retention-period, training-data-practices, soc2-certification, iso27001-certification, api-documentation, rate-limits, compliance-certifications, algorithm-accuracy-metrics
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
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