Human-in-the-loop AI that helps safety teams run evidence-anchored investigations, with professional outputs built in. Without compromising judgement.
Incident AI tackles these directly by making the investigation process structured, guided, evidence-centric, and output-ready.
Investigations must be done quickly, often while running operations.
Formatting, collating evidence, version control, and building reports is heavy work.
Different investigators produce very different outputs; teams can't compare apples to apples.
Findings and contributing factors are often not clearly tied back to evidence.
Key questions get missed; follow-ups happen late or never.
Investigations can drift toward individual error instead of system conditions.
Emails, photos, PDFs, statements, and logs are scattered across systems.
Actions can be vague, not risk-based, and not measurable.
Six steps, shown the way they happen in Incident AI. Each one plays as you reach it.
Upload what you have. Incident AI compares it with what an investigation like this usually needs and flags the gaps while there is still time to collect them.
When two sources can’t both be right, the conflict is listed with both versions and who said what. Nothing is quietly averaged away.
Events are placed in order with the file each one came from. Gaps in the story are marked, not smoothed over.
Each control from your register is checked against what the evidence shows: what held, what failed and what was missing.
The interface, the analysis and the exports work in English, Spanish, French and Turkish, so crews read findings in the language they work in.
Approved findings go straight into your Word and PowerPoint templates, keeping your branding and layout.
These animations are simplified illustrations with made-up case data. Watch recordings of the product itself.
From evidence ingestion to professional reports—watch how Incident AI accelerates each step of your investigation.
Bulk upload documents, emails, PDFs, and statements. Evidence is structured and indexed automatically to eliminate manual collation.
Bulk upload documents, emails, PDFs, and statements. Evidence is structured and indexed automatically to eliminate manual collation.
Quickly surface key facts across large evidence sets. Trace every finding back to its source for full defensibility and confidence.
Quickly surface key facts across large evidence sets. Trace every finding back to its source for full defensibility and confidence.
Centralised control for all investigation artifacts. Manage timelines, evidence, and outcomes in a single, structured environment.
Centralised control for all investigation artifacts. Manage timelines, evidence, and outcomes in a single, structured environment.
Structure events chronologically with 5-Whys style thinking. Automatically link timeline events to supporting evidence.
Structure events chronologically with 5-Whys style thinking. Automatically link timeline events to supporting evidence.
All tables can be edited now—add and remove columns and rows to finalise your incident within Incident AI.
All tables can be edited now—add and remove columns and rows to finalise your incident within Incident AI.
Generate structured interview questions based on the current evidence set and investigation context to ensure no detail is missed.
Generate structured interview questions based on the current evidence set and investigation context to ensure no detail is missed.
Query your entire evidence set using natural language. Get immediate answers to complex investigation questions with source citations.
Query your entire evidence set using natural language. Get immediate answers to complex investigation questions with source citations.
Investigators can now save their conversations at incident wise as evidence to steer with full auditability (saves time against manual edit).
Investigators can now save their conversations at incident wise as evidence to steer with full auditability (saves time against manual edit).
Overview tools developing: initial details and investigation team information can now be included on the professional PDF report.
Overview tools developing: initial details and investigation team information can now be included on the professional PDF report.
Organise site photos and visual evidence with AI-assisted tagging and descriptions. Export professional visual annexures instantly.
Organise site photos and visual evidence with AI-assisted tagging and descriptions. Export professional visual annexures instantly.
Distill investigation findings into shareable safety alerts and bulletins. Ensure critical insights reach the frontline faster.
Distill investigation findings into shareable safety alerts and bulletins. Ensure critical insights reach the frontline faster.
Continuous investment in tools that make investigations faster and more defensible, with new capabilities added monthly.
Continuous investment in tools that make investigations faster and more defensible, with new capabilities added monthly.
Download representative investigation artifacts, report examples, and security documents before a walkthrough.
See how imported statements, files, and source material are structured for traceable investigation work.
Open example PDFReview a professional PDF report format with structured sections and evidence-ready outputs.
Open report PDFPreview how investigation findings can be packaged into a frontline learning share.
Open learning shareUnderstand the controls behind Incident AI, including data handling, privacy, and deployment posture.
Open security PDFRead how MineGuard aligns AI risk management practices to governance and human oversight principles.
Open RMF statementHosting, database and AI inference can run in your region or your own cloud tenant.How sovereign deployment works
Incident AI isn't a generic AI tool adapted for safety. It's designed from the ground up for the realities of incident investigation in high-risk industries.
Outputs are anchored to what's actually in the evidence set. No unsupported conclusions.
Supports judgement rather than replacing it. The investigator remains in control.
Structured, defensible, consistent output orientation. Designed for high-stakes environments.
Standardise quality across sites, teams, and investigators. Compare apples to apples.
Accelerates the unglamorous work—collation, formatting, drafting—so teams can focus on analysis.
Built around what teams actually do under time pressure. Not academic, practical.
Continuous investment in capabilities that make investigations faster, smarter, and more defensible.
An AI agent that works the investigation alongside your team: gathering evidence, testing timelines, and drafting findings for human review.
Record witness interviews and turn them into accurate transcripts and structured statements, ready to use as evidence.
Trend dashboards and analysis across your incident history, surfacing recurring causes and where to act next.
No. Incident AI supports competent investigators by structuring evidence, surfacing gaps, drafting outputs and preserving source links. The investigation team remains responsible for findings, contributing factors, corrective actions and approvals.
Incident AI helps teams organise evidence, build timelines, prepare interview questions, review contributing factors and check action quality. It does not force a single method; it supports human-led analysis with traceable material.
Teams can generate evidence summaries, timelines, interview prompts, action reviews, learning shares and professional report material with links back to source evidence.
See how Incident AI can help your team run faster, more consistent, evidence-anchored investigations with professional outputs built in.
No commitment required. See real outputs from real investigations.