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RighValor

Customized distributed agentic home platform.
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RighValor redefines how
AI is deployed in the home.
Running on edge, it’s secure, responsive, and ready to scale.

Uncompromised Privacy

Data stays where it belongs—in the home. Full control, always.

Responsive by Design

Learns from the environment and responds in real time—without latency or delay. Intelligence lives on edge.

Scalable from Day One

Deploy AI locally across homes—and minimize cloud costs. Easy to replicate and cost-effective to scale.

Benefits for CSPs

Use everyday devices to unlock new service potential and reduce costs.

New Revenue Streams

Grow ARPU without growing costs—run first-party or third-party services on in-home infrastructure with no extra cloud or hardware investment.

Scalable Capabilities

Works across any home setup and scales automatically as devices grow in number and capability, with federated learning.

Cloud Savings

Reduce bandwidth, cloud, and support costs by processing data locally and resolving issues before they escalate.

RighValor in the Home

Turn every connected device into a smart, secure, self-aware agent.

Privacy-Powered Security

Opportunity: Strengthen home security without exposing sensitive data.

Example: A smart camera processes motion detection locally to tell the difference between a person and a pet—no images leave the home.

Value: Protect privacy without sacrificing safety. Keep personal data in the home, and minimize cloud involvement.

Continuous Sensor Automation

Opportunity: Automate real-time responses to critical in-home events.

‍Example: A misbehaving device causes network slowdown—it's detected and fixed automatically, without support calls.

‍Value: Reduce support load and tickets. Seamless experiences. A network that proactively takes care of itself.

Sensor-Based Automation

Opportunity: Make the smart home actually feel smart.

Example: Motion and door sensors detect the home is empty—devices shift into low-power mode, streaming pauses, access points are secured.

Value: Improve energy efficiency for battery powered devices by offloading computation.

Intelligent Device Classification

Opportunity: Understand what’s on the network—and who it’s for.

Example: In-home traffic patterns reveal whether a device belongs to a parent or a child—even with randomized MAC addresses.

Value: Enable smarter services with sharper customization, granular controls, and optimized bandwidth—while keeping household data private and processed on-device.

Self-Governing Access Control

Opportunity: Give households tools that adapt as routines and responsibilities shift.

‍Example: A family sets screen time rules once. The system learns usage patterns and adjusts settings automatically as routines change.

‍Value: Maintain relevant access that adapts with household needs—without manual updates.

How RighValor Operates

Elastic Edge Computing

AI runs on gateways, extenders, and other in-home devices. Tasks are shared and parallelized across nodes, bringing cloud-like performance into the home.

Orchestration

A lightweight orchestrator distributes AI workflows across devices, balancing demand and ensuring reliability—even as traffic and workloads shift.

Federated Learning

AI runs mostly in the home. Federated learning is applied in the cloud to leverage what’s learned in one home across all homes—sharing only insights, not raw data.

Containerized Deployment

Linux Containers deploy AI apps securely and consistently, making updates easy and scaling simple across all hardware types.
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