Deep-tech • Interaction Intelligence • Adaptive Systems
Building AI-Driven Interaction Systems for Adaptive Digital Experiences
SiteEncoders is a deep-tech startup developing intelligent systems that sense user intent, adapt interfaces, and orchestrate decision flows in real time.
Certain platform architectures are protected through provisional patent filings; public descriptions are intentionally abstracted.
The SiteEncoders AI Platform
Systems, not features.
These components together form a unified interaction intelligence platform.
Conversational Interaction Engine
Dialogue-driven interaction that guides users through intent-to-action pathways in real time.
Behavioral Intelligence Layer
Interprets interaction micro-signals (navigation patterns, hesitation, drop-risk) to infer intent and friction.
Dynamic UI Adaptation System
Adapts interface structure and interaction pathways based on inferred context.
Intent & Decision Signal Analyzer
Transforms interaction into structured intent and decision signals for downstream automation and learning loops.
Why It Matters
The problem
- Static interfaces don’t adapt to evolving user intent.
- Users drop when friction isn’t detected early.
- Decision signals remain invisible until after drop-off.
Our approach
SiteEncoders addresses this by introducing adaptive, AI-driven interaction systems, where intent inference, interface adaptation, and decision-flow orchestration operate as a coherent architecture.
Outcome: reduced friction, clearer intent signals, more consistent decision progression.
Presented as a platform capability not custom development.
Early Access / Collaboration
We engage in limited pilot deployments and research collaborations to validate and refine the platform.