Product • Platform Architecture • Interaction Intelligence
SiteEncoders AI Platform
The SiteEncoders AI Platform is a modular interaction intelligence system designed to sense user intent, adapt digital interfaces, and orchestrate decision flows in real time.
Public descriptions on this site are intentionally abstracted to preserve novelty and align with ongoing intellectual property protection processes.
What it is
SiteEncoders operates between users and interfaces. Instead of treating every user the same, it interprets behavioral and conversational signals to dynamically adjust interaction pathways. The platform is system-oriented by design: modular, research-driven, and built for controlled validation through limited pilots.
What the platform enables
These are platform capabilities expressed at a system level (intentionally abstracted).
Adaptive interaction pathways (non-static interaction journeys)
Real-time intent inference from behavior + dialogue
Dynamic interface restructuring based on context and friction
Decision-flow orchestration for evolving user intent
Structured signal generation for automation and continuous improvement
Platform architecture
Modules, not “features”.
The platform is composed of cooperating systems, each responsible for a distinct layer of interaction intelligence. Together, they form a unified architecture.
Conversational Interaction Engine
Manages intent-driven dialogue and adaptive interaction pathways in real time.
Behavioral Intelligence Layer
Captures interaction micro-signals (navigation patterns, hesitation, drop-risk) and structures them into intent indicators.
Dynamic UI Adaptation System
Adjusts interface structure and emphasis based on inferred context to reduce friction and guide decisions.
Decision Flow Orchestration Layer
Coordinates multi-step interaction sequences to keep users aligned with outcomes without forcing a fixed linear path.
Intent & Decision Signal Analyzer
Transforms interaction into structured intent and decision signals for downstream automation and learning loops.
High-level operational flow
A conceptual view of how the platform behaves during interaction. Implementation mechanisms are intentionally not disclosed publicly.
- 1
Observe interaction signals continuously
- 2
Infer intent and decision context
- 3
Adapt interface structure and interaction pathways
- 4
Orchestrate decision progression across steps
- 5
Generate structured intent/decision signals
Intellectual property status
Core system architectures underlying the platform are protected through provisional patent filings:
- CHME: Conversational Homepage Mode Engine (provisional filed)
- DSSM: Dynamic Shopping State Machine (provisional filed)
Public descriptions are intentionally abstracted to preserve novelty and align with ongoing intellectual property protection processes.
Intended users
The platform is designed for early adopters and research-aligned teams exploring adaptive interaction systems.
Digital-first organizations evaluating adaptive interaction platforms
Product teams exploring intent-driven interface systems
Research collaborators in HCI and behavioral intelligence
Pilot partners for controlled validation deployments
Next
For research focus areas and platform philosophy, see Research & Innovation. For controlled validation deployments, see Early Use Cases & Pilot Deployments.