Research • Innovation • Intellectual Property
Research & Innovation
Product development at SiteEncoders is driven by applied research in adaptive human-computer interaction, behavioral intelligence, and real-time decision systems.
Research philosophy
SiteEncoders approaches product development as a research problem first, and an engineering problem second. Rather than optimizing static interfaces or predefined user journeys, our work explores how digital systems can continuously adapt to user context, intent, and decision readiness during live interaction.
This research-driven approach informs all platform architecture decisions and guides controlled pilot deployments used strictly for validation and refinement.
Research focus areas
Current research at SiteEncoders spans multiple intersecting domains related to adaptive digital interaction systems.
Adaptive human-computer interaction and interface intelligence
Real-time behavioral signal interpretation and intent inference
Context-aware interface restructuring and interaction adaptation
State-aware decision-flow modeling for digital environments
Ethical and responsible AI-driven interaction automation
Intellectual property & protection
Core system architectures developed at SiteEncoders are protected through provisional patent filings as part of an ongoing intellectual property strategy.
- CHME: Conversational Homepage Mode Engine (provisional patent filed)
- DSSM: Dynamic Shopping State Machine (provisional patent filed)
Public descriptions of these systems are intentionally abstracted to preserve novelty and align with ongoing intellectual property protection processes.
Research validation approach
Research outcomes are validated through controlled pilot deployments and internal experimentation. These pilots are used exclusively to observe system behavior, evaluate adaptation effectiveness, and refine architectural decisions.
SiteEncoders does not position these pilots as services; they function as controlled environments for applied research and product evolution.
Related
For platform architecture and system overview, see the Product page. For examples of controlled validation environments, see Early Use Cases & Pilot Deployments.