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Triya AI

triya.ai

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Spec score 7.3 #20 of 23 in AI Video Analytics Software

What it is

Triya AI turns existing IP cameras into real-time video analysis and incident alerts. It connects over standard RTSP or ONVIF feeds and can detect scenarios including intrusion, fire and smoke, PPE compliance, falls, license plates, people counting, and crowd density. Users can search footage in natural language in more than 30 languages and retrieve timestamped clips. Alerts are delivered by email, SMS, or webhook through a secure web portal. Cloud deployment needs no on-site hardware; an on-premise Edge Box processes video locally and can keep detection and alerting active when connectivity is limited or unreliable. Triya lists compatibility with camera and NVR providers including Hikvision, Dahua Technology, Axis Communications, Hanwha Vision, Uniview, Bosch, and Honeywell. It says processing follows ADGM DPR, UAE PDPL, and GDPR requirements and describes encryption, role-based access, monitoring, and audits. Video and image data are retained for up to 30 days by default or up to 90 days by agreement; logs and metadata may be kept for up to 12 months. Pricing is on request.

Spec sheet

What it does
Triya turns existing CCTV cameras into real-time AI video analytics and alerts.Read 1 Oct 2026 · triya.ai
Product
Triya uses AI agents to monitor CCTV feeds around the clock, detect incidents and alert teams.Read 2 Oct 2026 · triya.ai
Intended users
The Edge Box is described for government, critical infrastructure and regulated sectors, while the broader site presents scenarios for manufacturing, real estate and retail.Read 2 Oct 2026 · triya.ai
Deployment
Triya offers cloud deployment and an on-premise Edge Box option that processes video locally.Read 2 Oct 2026 · triya.ai
Integrations
The site names Hikvision, Dahua, Axis, Hanwha Vision, Uniview, Bosch and Honeywell, as well as any RTSP/ONVIF camera or NVR.Read 2 Oct 2026 · triya.ai
Privacy
The privacy policy says video and image data are retained for up to 30 days by default, or up to 90 days by customer agreement.Read 2 Oct 2026 · triya.ai
Support
Triya invites customers to contact its team by email or phone and offers a personalized demonstration.Read 2 Oct 2026 · triya.ai
Headquarters
Abu Dhabi, UAERead 28 Sep 2026 · triya.ai
Founded
2025Read 28 Sep 2026 · triya.ai
Access
Triya describes a secure web portal and says its existing-CCTV offering includes a mobile app and unlimited users.Read 2 Oct 2026 · triya.ai
Alerts
The platform provides alerts via email, SMS or webhook through a web portal.Read 2 Oct 2026 · triya.ai
Camera compatibility
The platform works with any IP camera over standard RTSP/ONVIF feeds.Read 1 Oct 2026 · triya.ai
Camera support
It connects to existing IP cameras over standard RTSP/ONVIF protocols.Read 2 Oct 2026 · triya.ai
Cloud deployment
Cloud deployment requires no on-site hardware and uses a per-camera subscription that deploys in days and scales instantly.Read 1 Oct 2026 · triya.ai
Data retention
Video and image data are retained for a maximum of 30 days by default, or up to 90 days by customer agreement, while logs and metadata are retained up to 12 months.Read 1 Oct 2026 · triya.ai
Detection features
Detection scenarios include intrusion, fire and smoke, PPE compliance, falls, license plates, people counting and crowd density.Read 2 Oct 2026 · triya.ai
Detection scenarios
Detection scenarios include intrusion, fire and smoke, PPE compliance, falls, license plates, people counting and crowd density.Read 1 Oct 2026 · triya.ai
Edge limitations
The on-premise option requires on-site AI hardware; the site says it supports air-gapped sites and limited connectivity.Read 2 Oct 2026 · triya.ai
Natural-language search
Triya provides natural-language video search in more than 30 languages.Read 1 Oct 2026 · triya.ai
Notifications
Alerts can be delivered through email, SMS or webhook from a secure web portal.Read 1 Oct 2026 · triya.ai
Offline operation
Edge processing keeps detection and alerting running when connectivity is limited or unreliable.Read 1 Oct 2026 · triya.ai
On-premise deployment
On-premise deployment runs all AI inference on a Triya Edge Box so video never leaves the premises.Read 1 Oct 2026 · triya.ai
Pilot scale
A 30-day pilot at a Fortune 500 manufacturer covered 22 AI detection scenarios using the customer's existing cameras.Read 1 Oct 2026 · triya.ai
Pricing and trial
The site directs visitors to request a demo and does not state a numeric price or a free-trial offer on the pages reviewed.Read 2 Oct 2026 · triya.ai
Security and compliance
Triya says it uses encryption, role-based access control, monitoring and audits, and describes processing under ADGM DPR, UAE PDPL and GDPR.Read 2 Oct 2026 · triya.ai
Security compliance
Triya states that it processes data under ADGM DPR, UAE PDPL and GDPR requirements.Read 1 Oct 2026 · triya.ai
Security controls
Triya states that it uses encryption, role-based access control, monitoring, audits and employee confidentiality measures.Read 1 Oct 2026 · triya.ai
Target customers
Triya serves manufacturing, retail, real estate and facilities, smart cities and event-management organizations.Read 1 Oct 2026 · triya.ai
Video search
Users can search footage in plain language and retrieve timestamped clips; the site says search supports 30+ languages.Read 2 Oct 2026 · triya.ai

Strong points and limits

Strong points

  • Connects to existing cameras over RTSP or ONVIF.
  • Searches footage in more than 30 languages.
  • Offers cloud and on-premise deployment.
  • Alerts can use email, SMS, or webhook.

Limits

  • On-premise deployment requires on-site AI hardware.
  • Pricing is available on request.
  • Video and image retention is limited to 30 days by default.

Who it suits

Triya is presented for manufacturing, retail, real estate and facilities, smart cities, and event-management organizations. Its Edge Box option is described for government, critical infrastructure, and regulated sectors.

Verdict

Triya offers a broad set of camera-based detection scenarios, language search, and cloud or local processing options. Buyers should consider its deployment requirements and stated data-retention periods when evaluating fit.

Where Specifiction places it

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