Distribution Channels

Distribution Channels covers how end users access and interact with Relational Agents built on the PromethistAI Platform. This section explains the available channels, their capabilities, and how to configure them for different deployment scenarios.

What the Client Is

PromethistAI for iOS and Android is the end-user application for experiencing Relational Agents created in the PromethistAI Platform. Each agent is delivered as a multimodal experience blending:

  • Locally rendered 3D visual scene

  • Real-time voice interaction

  • Chat interface

  • Contextual interactive elements (forms, modals, buttons, image pickers, and embedded web views)

The apps are publicly available in the Apple App Store and Google Play Store under the name PromethistAI.

A reliable internet connection is required because voice and reasoning are streamed; the 3D scene renders on-device for responsiveness and smooth animation.

Available Channels

Out of the box, the PromethistAI Clients are connected directly to the SaaS platform configuration. This provides end-to-end functionality without requiring any technical expertise.

  • Administrators configure agents in the SaaS console

  • End users access them seamlessly through the mobile clients

  • All branding, processes, and updates flow automatically

For enterprise customers, there is an additional option:

  • Relational Agents can be integrated into existing enterprise mobile clients or browser applications via the PromethistAI SDKs

  • SDKs are available exclusively to enterprise clients and allow deeper embedding of relational intelligence into custom digital touchpoints

This dual approach ensures quick out-of-the-box adoption while also supporting highly customized enterprise distribution.

Session Results in Administration Console

Conversation outcomes propagate back to the administration console.

This allows teams to:

  • Review sessions

  • Analyze engagement

  • Track KPIs and business objectives

  • Review multimodal inputs (e.g., forms, survey responses) under the project’s data-governance settings