# Gaard

> Gaard is an AI-powered video classification platform for security and
> telesurveillance, built by Jalgos SAS. It analyzes camera streams and video
> clips with machine learning to detect events, classify activity, filter
> false alarms, and deliver structured results to alarm monitoring platforms.

Gaard serves alarm receiving centers (ARCs), central monitoring stations,
security integrators, and telesurveillance operators. It is available as a
cloud service and on-premises, in English and French.

## Getting Started

- [Platform overview](https://gaard.ai/docs/guides/overview): The Gaard platform in five minutes — solutions, surfaces, and how a video becomes a decision
- [Quickstart: web app](https://gaard.ai/docs/guides/quickstart-webapp): Submit and review your first video in the Gaard web application
- [Quickstart: API](https://gaard.ai/docs/getting-started): Send your first video to Gaard for classification in three steps
- [Core concepts](https://gaard.ai/docs/guides/concepts): Tenants, flows, classifications, labels, and risk scores explained

## Guides

- [Submitting video](https://gaard.ai/docs/guides/classify/submitting-video): Ways to get video into Gaard for classification
- [Reviewing results](https://gaard.ai/docs/guides/classify/reviewing): Read and act on classification results
- [Search and filtering](https://gaard.ai/docs/guides/classify/search-filtering): Find classifications with the search builder
- [Labeling and feedback](https://gaard.ai/docs/guides/classify/labeling-feedback): Improve model accuracy with operator feedback
- [Exclusion zones](https://gaard.ai/docs/guides/classify/exclusion-zones): Mask irrelevant regions of the camera image
- [Exporting](https://gaard.ai/docs/guides/classify/exporting): Export classification data
- [Users and roles](https://gaard.ai/docs/guides/admin/users-roles): Manage access to a Gaard tenant
- [API tokens](https://gaard.ai/docs/guides/admin/api-tokens): Create and manage machine credentials
- [Choosing a delivery method](https://gaard.ai/docs/guides/integrations/choosing-delivery): Webhooks, SFTP, or alarm-platform integrations
- [Alarm platform integrations](https://gaard.ai/docs/guides/integrations/alarm-platforms): Deliver results to evalink, Prysm, and SIA DC-09 receivers
- [Cloud vs on-premises](https://gaard.ai/docs/guides/deployment/cloud-vs-on-premises): Deployment options and trade-offs
- [Security](https://gaard.ai/docs/guides/deployment/security): Security posture and practices
- [Retention and GDPR](https://gaard.ai/docs/guides/deployment/retention-gdpr): Data retention and privacy compliance

## API Reference

- [API overview](https://gaard.ai/docs/overview): Authentication, base URLs, and conventions
- [Endpoints](https://gaard.ai/docs/endpoints): Full endpoint reference
- [Response structure](https://gaard.ai/docs/response-structure): Shape of classification responses
- [Classification result](https://gaard.ai/docs/classification-result): Fields of a classification result
- [Webhooks](https://gaard.ai/docs/webhooks): Receive results by webhook
- [Risk labels and scores](https://gaard.ai/docs/risk-labels-scores): How risk is expressed
- [Labels](https://gaard.ai/docs/labels): Label taxonomy

## Website

- [Home](https://gaard.ai/): Product overview
- [Pricing](https://gaard.ai/pricing): Plans and pricing
- [Partners](https://gaard.ai/partners): Integration and channel partners
- [Contact](https://gaard.ai/contact): Talk to the team

## Optional

- [Full documentation as plain text](https://gaard.ai/llms-full.txt): Concatenated public documentation for LLM ingestion