Cut inspection times from weeks to hours, reduce operational costs by 80%, and ensure full regulatory compliance — wherever you operate.
Rafd AI replaces slow, error-prone manual inspections with real-time AI insights — enabling insurers to make faster, smarter, and fully compliant underwriting decisions.
Detect structural damage, fire hazards, and compliance violations from photos and documents with 95% accuracy — in under 60 seconds.
Transcribe and analyze Arabic field notes — including Saudi dialect — and automatically flag compliance gaps against local regulatory standards.
Machine learning models score future risk probability based on historical claim data, seasonal patterns, and regional risk factors.
Instantly cross-references documents against local insurance regulations, safety standards, and building code requirements — zero manual lookup.
Generate a fully formatted, submission-ready bilingual (AR/EN) risk report in under 2 minutes — compared to 3–5 days for manual reports.
Proven results delivering real value for the insurance industry
From raw field data to a certified, compliant report — in under 2 minutes
Submit inspection photos, voice memos, and documents via the mobile app or REST API — typically under 3 minutes in the field.
AI simultaneously runs image recognition, Arabic NLP, and regulatory compliance checks — completes in under 60 seconds.
Receive a fully compliant bilingual (AR/EN) risk report in under 2 minutes — formatted and ready for submission.
From commercial underwriting to claims investigation — Rafd AI handles it all
AI risk scoring from building photos and documents with full regulatory compliance verification — results in under 2 minutes.
Automated damage detection and repair cost estimation from photos and inspection reports — replaces 2–3 day manual assessments.
Inspection automation for factories, plants, and complex industrial facilities with hazard classification and compliance scoring.
Cross-reference voice recordings, images, and text evidence to detect fraud signals and inconsistencies before approval.
Progressive site monitoring with stage-by-stage SBC compliance tracking — from groundbreaking to handover.
AI analysis of workplace hazard documentation and incident investigation reports to support fair, evidence-based decisions.

Trained on local risk data and regional building codes — not generic global models.
Arabic NLP built from the ground up, including Saudi dialect — not a translation layer on top of English.
Pre-built connectors for Guidewire, Duck Creek, and custom REST APIs. Most go-lives in 2–4 weeks.
Fully aligned with local insurance regulations and building standards — updated as regulations change.
Cross-references voice, image, and document evidence to flag inconsistencies before claims are approved.
Rafd AI achieves 95% accuracy in risk identification — 20% higher than traditional manual assessments — with consistent, auditable results across every evaluation.
Yes. Rafd AI is fully bilingual with Arabic NLP built from the ground up, including Saudi dialect recognition, colloquial phrasing, and insurance-specific terminology.
Most integrations complete in 2–4 weeks using pre-built connectors for Guidewire, Duck Creek, and major core insurance platforms. Custom REST API integrations typically take 3–5 weeks.
Yes. All data is stored within your jurisdiction, fully compliant with local data residency requirements. Rafd AI maintains SOC 2 Type II certification, end-to-end AES-256 encryption, and complete audit trails.
Rafd AI checks against local insurance regulations, product safety standards, and applicable building codes. Compliance rules are updated as regulations change — no manual maintenance required.
Onboarding includes: (1) API or platform integration (2–4 wks), (2) data configuration and model calibration to your risk appetite (1 wk), (3) user training for your inspection team (1 day). Most customers are live within 30 days.