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View allAI revenue needs operable edge services for ISPsAuditable sovereign controls for regulated visual servicesSovereignty as a service for ISPs with Horus ISPSovereign AI and semantic search as a serviceFederated sovereign edge as a commercial playbookVideo intelligence that is easier to productizeAI datacenters and sovereign cloud as a new businessPrivate edge and sovereignty as a monetization playbookStable video uplink and efficient edge for critical servicesThe ISP network as a distributed physical AI platformResilient hybrid architecture for Horus ISP nodes in the ISPVideo analytics with cost and latency under controlVideo semantic search at scale: a premium service for ISPsLower-cost camera inference: a path to stronger video analytics marginSemantic search for ISP video archives: from passive recording to premium evidenceTwo-node edge high availability: a pragmatic base for Horus ISP servicesWhat an ISP can learn from the new AI video stackData sovereignty and lower AI cost: why the ISP datacenter matters moreNot every video analytics workload should run the same wayIf AI is a new telco revenue stream, ISPs need a first sellable serviceSmart-X distributed inference: splitting AI improves total service costEdge AI is not telco hype: it is a path to profitable video offersEdge video analytics: process before upload to protect margin and privacyEdge, video analytics, and new services: what this section will trackThe ISP datacenter as a new visual intelligence layerOpen Telco AI: evaluable models for governed ISP servicesTelco AI grids: monetizing ISP infrastructure with video analyticsTelco AI delivers ROI when it becomes an operable service
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Edge AI Services

Datacenter-hosted inference services that let the ISP launch premium analytics and monetizable AI features immediately.

Edge AI Services

Business need

Operators need differentiated digital services, but cloud-only AI can add latency, complexity, and slower rollout cycles.

Horus service

Horus lets the ISP process video streams on dedicated inference hardware in its own datacenter and expose those capabilities as premium services.

How it works

Streams already connected into the Horus service layer are processed by a growing model catalog, enabling immediate activation of analytics, detections, and vertical features.

Deployment model

Hybrid deployment with AI hardware in the ISP datacenter and control services coordinated with Horus Cloud.

Key benefits

  • Immediate monetization of new AI features
  • Lower rollout friction for premium services
  • Horizontal scaling aligned with service demand
  • A stronger platform story for operator innovation

Ideal customers

Internet service providersRegional operatorsTechnology partners

Overview

Edge AI Services gives the ISP a practical path to commercialize analytics close to the network, without rebuilding the whole service stack for every new feature.

Included capabilities

  • Datacenter-side inference on operator-controlled hardware
  • Expanding model inventory for specific service offers
  • Faster activation of premium analytics packages
  • Reuse of the same camera and streaming foundation already deployed for managed video

ROI-led selection

Not every model consumes the same capacity or creates the same commercial value. Horus helps evaluate which analysis should be activated first based on use case, customer base, available hardware, and monetization opportunity for the ISP.

Event activation

Inference engines turn streams into events that can reach Horus Cloud to trigger notifications, feed mobile views, and enable new operational workflows. This lets the operator convert network infrastructure into packageable intelligent services.

Operational impact

This service is built for operators that want to differentiate through intelligence and new services, beyond access speed or price.