Walk the site, capture photos, and use AI to surface visible conditions for authorised human review, remediation, and evidence capture.
Construction sites are inherently high-risk environments. Falls, struck-by hazards, caught-in/between incidents, and electrical dangers account for the majority of construction fatalities worldwide. Traditional safety management relies on manual inspections, paper checklists, and safety officers who may not always be on site.
AI-assisted safety software can reduce manual review effort by analysing site photos and surfacing visible conditions that may warrant attention. Those suggestions still require an authorised person to confirm, edit, or dismiss them.
ScanHaz supports teams from small contractors to multi-site organisations. Who may conduct, review, verify, or sign off safety work remains subject to the organisation’s competence, role, and legal requirements.
Conduct visual safety inspections by walking your site and capturing photos of each zone.
AI can surface visible conditions from photos for a person to review, edit, confirm, or dismiss.
AI can propose HIGH, MEDIUM, or LOW severity and a possible next action for human review.
Generate structured reports and Evidence Packs from human-reviewed findings, actions, and photo evidence.
Assign remediation tasks to team members with due dates and track completion.
Maintain a complete, timestamped history of every inspection, hazard, and action taken.
AI can surface visible conditions for review while authorised people retain responsibility for confirmation and action.
Offline mode means you can inspect remote sites with no signal. Data syncs when you reconnect.
PDF reports and Evidence Packs organise reviewed photo evidence, remediation, and audit history for downstream review.
See safety scores, hazard trends, and action item status across all your sites from one dashboard.
Common construction hazards include falls, struck-by events, caught-in/between hazards, electrical hazards, housekeeping issues, and equipment-related risks. ScanHaz can surface some clearly visible conditions from photos for human review, but it cannot assess hidden or out-of-frame hazards.
Inspection frequency depends on the work, risk profile, site changes, company procedures, and applicable legal requirements. ScanHaz can support repeat walkthroughs and reminders, while the responsible organisation decides the required inspection regime.
A safety report can include site details and date, human-confirmed findings, severity, photo evidence, corrective actions, responsible parties, verification history, and supporting audit data. ScanHaz helps assemble those records from the reviewed workflow.
No. AI can assist with clearly visible conditions in a photo, but it can miss hazards, misinterpret context, and cannot assess hidden or out-of-frame conditions. ScanHaz therefore treats model output as suggestions that require human review.
Review current plan availability and see how ScanHaz supports AI-assisted findings with human confirmation.