VideoSnap guides people through short guided video submissions, then produces transcripts, summaries and extracted fields for your claims, legal evidence and inspection workflows — deployed entirely within your own environment.
Deployed within your infrastructure. No Gelosia access to your data.
Fee earners and adjusters sit through long, rambling clips to extract a handful of usable facts.
Claimants forget to capture angles, dates or context. Follow-up calls add days to case timelines.
Unmanaged WhatsApp or email video drops create chain-of-custody and GDPR compliance headaches.
Three steps. One guided workflow. Zero developer overhead for your end users.
You send a secure, branded link to your customer, claimant or field operative. No app download required — works on any smartphone.
An AI-led prompt sequence walks them through exactly what to record: the right angles, distances, verbal statements, and supporting context. They submit in minutes, not hours.
VideoSnap produces a timestamped transcript, auto-generated summary, extracted data fields and a webhook payload — ready to route directly into your case management or claims system.
The resulting record contains the source video, the AI-generated transcript, extracted fields and the submission audit log — all stored within your own environment.
Every submission produces a structured record alongside the source video.
Source submission
Please walk slowly around the damage, starting from the front-left corner
VideoSnap structured output
Claimant walked around front and left-side vehicle damage. Visible scraping along door panels, cracked front bumper. No visible structural damage to chassis.
| Field | Value |
|---|---|
| Incident type | Vehicle damage |
| Location | Front-left, door panels |
| Severity | Moderate (surface + bumper) |
| Structural damage | None visible |
| Timestamp | 14 Oct 2025, 09:42 GMT |
| Submission ID | VS-00412 |
| Status | Ready for review |
AI-generated transcript and extracted fields are kept separate from the source video record and are clearly labelled as AI-generated in the audit log.
A short walkthrough of guided capture for personal-injury and claims-style intake.
VideoSnap is deployed within your own infrastructure. You choose where data is processed and stored.
VideoSnap runs within your own servers, cloud tenancy or virtual private network. Gelosia does not have access to your submissions, transcripts or case data.
Processing can use AI services you have independently contracted and approved — including options that run entirely within your boundary. The configuration is yours to control.
Role-based access controls, submission audit logs and review workflows are built in. Every AI-generated output is labelled and timestamped separately from source material.
Every submission produces a structured JSON payload, delivered via webhook to your case management system, claims platform or workflow automation tool.
Note: When an external AI service is configured by the client, processing occurs within that client-approved service boundary, not Gelosia's systems. Fully local processing is also supported.
One workflow. Thirty days. Agreed outcomes.
We are currently onboarding a small number of founding partner organisations. Pilots are allocated by workflow fit, not on a first-come basis.