Vetinari
Vetinari provides an incident reconstruction platform that automatically analyzes multi-camera video to produce timestamped timelines, auditable summaries, and draft reports for human review. The system correlates events across sources, accelerating the path from raw footage to a finalized incident record while maintaining transparency and auditability for investigators.
- Data & Analytics
- Software Only
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
Organizations that need to reconstruct incidents from video face a time-consuming process of manually reviewing footage from multiple cameras, correlating events, and producing coherent timelines and reports. This manual approach is prone to errors, delays, and inconsistencies, making incident analysis inefficient and less reliable.
Solution
Vetinari offers an incident reconstruction platform that automatically analyzes multi-camera video to identify and correlate events. The system processes footage and produces timestamped incident timelines, auditable summaries, and draft reports that are structured for human review and approval. By automating the heavy lifting of video analysis and event sequencing, Vetinari accelerates the path from raw footage to a finalized incident record. The output is designed to be transparent and auditable, allowing reviewers to verify the generated content before finalizing any findings.
Target Audience
The primary users are security operations teams, risk and compliance professionals, and investigators who need to reconstruct incidents from multi-camera video systems.
Features
- Multi-camera video ingestion and automated event correlation across sources
- Automatic generation of timestamped incident timelines from detected events
- Auditable summaries that trace findings back to source video evidence
- Draft report generation structured for efficient human review and sign-off
- Cloud-based platform accessed via web interface