gaard.ai valid
Gaard
Gaard is an AI-powered video classification platform for security and
- Authority
- 50 reach 0 · trust 10 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://gaard.ai/llms.txt
- llms-full.txt
- https://gaard.ai/llms-full.txt
- Sections
- 5
- Links
- 29
- Size
- 3619 bytes
- Registered
- 2024-01-22
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-24T18:43:00.718Z
- Last checked
- 2026-10-24T18:43:01.502Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-24T18:43:00.724Z. Cached copy · Source on gaard.ai
# 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 classific
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