Personalized interaction at scale

Digital interaction is still fragmented and impersonal — despite advances in cloud and AI.

A solution: a cross-platform personalization assistant embedded directly at the interaction layer — enabling real-time, context-aware experiences across apps and sites.

Driving adoption

KLOA achieves this by enlisting advances in AI and a novel, more effective language UI as a delivery mechanism.

The UI and personalization engine benefit one another to give users a superior user experience. The visibility of the UI makes the source of the improved experience identifiable.

By attributing credit for the better experience to the interface, user expectation for the interface across apps and sites drives widespread adoption of the personalization platform.

Successful execution positions KLOA as a next-generation digital platform that unifies personal context and intelligent interaction across devices and applications.

Technical advances

Advances in AI make this possible. Work is in four broad technology areas:

  • Privacy-First Context Unification
    Securely aggregate and synchronize personal context across devices and apps, ensuring user data remains protected and private.

  • Personalization from Sparse Data
    Deliver relevant, adaptive, and self-improving personalization—even when user signals are minimal or incomplete.

  • Contextual Reasoning
    Understand, infer, and adapt to complex user intent and scenarios through advanced logical and compositional reasoning.

  • Adaptive, Device-Agnostic Input
    Provide seamless, personalized interaction experiences — dynamically optimizing input UI for any device or user need.

Leverage points

KLOA sees five leverage points that drive this approach and make its position defensible:

Hard questions

  • Cross-Platform Personal Context — Personalization extends across apps and devices enabling a persistent personalization layer. User controls occur at the UI.

  • Network Effects — A highly desirable double network, adoption by brands and users increases platform value, driving growth.

  • Seamless Integration — KLOA is adopted by brands to implement in their apps and sites. No user download is required.

  • Patents — e.g., https://patents.google.com/patent/US11054989B2/

  • WCAG-Compliant Accessibility — KLOA satisfies the WCAG requirement for minimum target size. KLOA makes mobile content accessible for users with dexterity disabilities.

  • Is secure and efficient aggregation of personal context from diverse digital environments possible?

  • Is latency and privacy for personalized inference achievable at scale?

  • What opportunities exist beyond touchscreen UIs for new context-driven user input patterns?

Decision points

  • Will AI innovations like compositional generalization together with the KLOA UI deliver major new value to users over the next 3 to 4 years?

  • Is the impact significant and defensible enough to survive against dominant challengers?  

  • Is the present set of problems, technology advances, market, and people the right combination to attempt this leap?