Platform accountability + transition monetization, without SDK integration
Cognitive Gap Lab develops a platform-level architecture for two problems that are converging fast: new inventory in transition/latency moments, and auditable accountability under modern privacy expectations.
AdWeave™ identifies high-attention transition moments (loading, matchmaking, AI latency) without modifying game engines and without requiring any SDK integration in applications. AdDrawer™ adds a platform accountability layer that can sit above existing ad delivery systems, enabling user-facing recall, auditability, and verifiable deletion without identity-level tracking.
Public information on this page is intentionally high-level. Detailed claim mapping, design-around analysis, and secure technical materials are available via the Secure Access channel.
What is a Cognitive Gap?
A Cognitive Gap is a predictable transition moment (often 2–30 seconds) where system processing is active but user interaction pauses. Attention remains present, but the surface is temporarily idle.
Examples include:
- Loading screens between levels or chapters
- Matchmaking queues, respawn waits, and map transitions
- AI / LLM response latency windows
- OS-level transitions where UI is temporarily locked or dimmed
These moments occur at platform scale across interactive systems and represent a dedicated inventory class that traditional ad stacks were not built to access.
Market opportunity
Interactive systems create billions of micro-intervals per day that are high-attention and structurally non-intrusive. These intervals are not a sub-segment of existing ad impressions; they are a distinct surface that has not been standardized as inventory at platform scale.
AdWeave™ is designed to unlock this transition/latency surface without requiring SDK integration or engine modification. AdDrawer™ complements this by providing a platform accountability layer that can be applied to both: (i) new transition inventory and (ii) existing ad delivery ecosystems.
Mobile gaming
- Android / iOS transition inventory
Mobile gaming is one of the largest transition surfaces: frequent loading, session-start events, and short wait states across global catalogs. Under conservative assumptions, the inventory opportunity can be modeled in the multi-billion-dollar annual range for OS-level deployment. Sensitivity models and assumptions are available under NDA.
AAA / console / PC
- Premium, high-attention transitions
AAA titles create stable transition windows (chapter loads, matchmaking queues, world streaming) that can support premium inventory. These environments typically impose strict constraints on SDKs and code modification, making platform-level, non-intrusive approaches especially relevant.
LLM / AI assistants
- Latency-gap monetization
AI assistants and multi-turn agents naturally generate short latency windows where a user is committed but waiting. As AI becomes a primary interaction surface, these moments form a scalable inventory class if activated responsibly.
In all cases, transition-based monetization is intended to be additive—an expansion of usable attention capacity rather than displacement of existing formats.
AdWeave™ and AdDrawer™ – coordinated patent families.
AdWeave™ (transition detection) and AdDrawer™ (verification & accountability) are coordinated filings intended to operate as a unified platform framework: one side expands inventory access; the other provides accountability and privacy-safe governance.
AdWeave™ – transition detection (public summary)
A system-level approach for identifying high-attention transition moments using official signals (graphics timing, resource load, network state), without modifying engines and without requiring SDK integration in applications.
AdDrawer™ – verification & accountability (public summary)
A platform accountability layer designed to sit above existing ad delivery systems, enabling user-facing recall, auditable exposure records, and verifiable deletion workflows without identity-level tracking.
Global strategy
International filing strategy is being prepared for major jurisdictions. Detailed claim mapping, jurisdictional approach, and secure diligence materials are available via Secure Access.
Respectful monetization requires accountability.
Transition moments are the most “natural” ad opportunity in interactive systems: the user is already waiting, and the surface is temporarily idle. Yet most ad systems still rely on heavy SDK instrumentation, invasive tracking, or opaque server-side logs that are increasingly difficult to defend.
Cognitive Gap Lab exists to define a platform-compatible alternative: unlock transition/latency inventory without touching application code, and attach accountability so that exposure handling can be explained, audited, and controlled.
The goal: a platform-level standard for additive inventory that does not break performance, governance, or user trust.
Two layers, two independent values.
AdWeave™
Transition detection
AdWeave™ identifies high-attention transition moments using system-level signals, without modifying engines and without requiring SDK integration in applications.
It is designed for platform deployment across diverse runtimes—games, mobile OS surfaces, and AI/LLM interfaces—where invasive hooks are impractical.
The outcome is a standardized method for discovering a new, additive inventory surface: transition- and latency-based advertising inventory.
AdDrawer™
Accountability & verification
AdDrawer™ is an accountability layer that can be applied to any ad delivery system. It is designed to support user-facing recall, auditable exposure handling, and verifiable deletion workflows without identity-level tracking.
This is useful both for transition inventory and for existing formats—bringing consistent governance to ad exposure records and post-view control.
In practice, AdDrawer™ functions as a platform rule-set for transparent advertising accountability under modern privacy expectations.
A platform framework, not an ad product.
At a high level, the framework spans: system-signal observation, transition inference, secure rendering pathways, and post-display accountability controls.
AdWeave™ focuses on finding eligible transition moments without requiring SDK integration or engine modification. AdDrawer™ focuses on accountability—exposure handling, user-facing recall, verification, and deletion workflows—designed to integrate above existing ad delivery systems.
Full architecture diagrams and technical materials are available via Secure Access.
Public overview (pre-NDA)
This page provides a non-confidential overview of the portfolio’s functional scope. For legal diligence, claim-level mapping and a detailed claim matrix are available under NDA.
AdWeave™ — platform transition detection
Identifies high-attention transition and latency moments using official, system-level signals. Designed to operate without requiring SDK integration in applications and without modifying engines.
AdDrawer™ — accountability above existing ad systems
Provides user-facing recall, auditable exposure handling, verification hooks, and verifiable deletion workflows—designed to sit above current ad delivery stacks without identity-level tracking.
Secure review materials (NDA)
Under NDA: claim matrix, design-around analysis, regulatory alignment notes, and the three key architecture diagrams for diligence review.
Prepared for structured evaluation.
Secure Access is intended for qualified counterparties conducting technical, legal, or strategic review. Materials are organized for fast diligence without exposing protected details publicly.
If you are evaluating acquisition or licensing, please request routing and NDA via the contact addresses below.
Frequently asked questions.
Q: How is this different from existing in-game ads?
A: Many solutions depend on SDK integration or game/engine modification. This framework is designed for platform-level deployment using system-level signals and platform-compatible accountability controls.
Q: Can AdDrawer™ work with existing ad systems?
A: Yes. AdDrawer™ is designed as an accountability layer that can sit above existing ad delivery stacks to support recall, auditability, and deletion workflows without identity-level tracking.
Q: What about user privacy?
A: The design intent is privacy-safe accountability: minimal exposure handling, user-facing control, and verifiable deletion workflows aligned with modern privacy expectations.
Q: What is available under Secure Access?
A: Architecture diagrams, claim matrix, design-around analysis, and other diligence materials intended for legal and technical review.
H. Kim
Cognitive Gap Lab is a focused R&D effort to define a platform-level standard for transition-based monetization with privacy-safe accountability.
The work targets a simple question: how can platforms monetize the “waiting moment” responsibly—without heavy SDKs, without code modification, and without identity-level tracking?
The portfolio is maintained with clean title (no co-inventors, no prior investors, and no encumbrances), enabling fast diligence for qualified counterparties.
Partnership & secure review.
For acquisition, licensing, or platform-level evaluation:
founder@cognitivegaplab.com
For secure technical or IP review:
contact@cognitivegaplab.com