The R&D foundation of myvue. We study how experts actually organize and use knowledge, discover the underlying principles, then engineer systems that operationalize those discoveries. What we learn here becomes the grounding for AI systems in government and legal applications.
How do expert judges reason about precedent? How do efficient cities connect operational data? How do researchers synthesize findings across fields? These aren't theoretical questions—we study thousands of real examples to discover how knowledge actually works, then build systems that apply those discoveries.
We analyze how experts actually work—studying court opinions, municipal operations, research methodologies—to discover the knowledge structures they implicitly use. We make these structures explicit and reproducible.
We identify recurring patterns in how knowledge is organized, connected, and used. What entities matter? What relationships exist? How does context flow? These patterns become engineered systems.
We discover how knowledge principles from one domain apply to others. Threat assessment in intelligence mirrors risk evaluation in law. Municipal coordination parallels research synthesis. We find and apply these universal patterns.
We translate discoveries into deployable systems—knowledge graphs, AI grounding layers, and intelligence tools that operationalize what we've learned about how knowledge works.
How research discoveries become grounded AI systems
myvue research studies how experts actually organize and use information. We analyze thousands of real examples to discover patterns in knowledge structure, reasoning, and application.
myvue government implements these discoveries for local government—building systems that structure municipal knowledge the way efficient cities naturally do.
myvue legal implements these discoveries for legal practice—building systems that structure legal knowledge the way expert attorneys naturally think.
Over 3 million papers published annually across thousands of journals—impossible to stay current even in narrow specializations.
Breakthrough insights often lie at the intersection of disciplines, but researchers can't keep track of adjacent fields or see cross-domain connections.
Datasets, lab notebooks, experimental results scattered across systems and formats—making it nearly impossible to leverage historical research.
Researchers spend 40% of their time searching for information and reproducing known results instead of advancing new science.
How we study knowledge and engineer grounded systems
Access and understand the complete body of published research across all domains. Identify how experts structure analysis, make decisions, and solve complex problems.
Identify recurring analytical patterns across different fields and applications. Discover how similar frameworks are applied in different contexts.
Combine insights from multiple sources to create comprehensive, validated analytical frameworks ready for application in specialized domains.
Understand which analytical methods work for which problems. Extract proven methodologies and their application contexts.
Identify frameworks from one domain that can be adapted for another. Enable intelligence transfer between government, legal, and other applications.
Create comprehensive documentation for discovered frameworks, enabling effective deployment in government and legal applications.
How knowledge research discoveries become practical solutions
We study how knowledge works in research contexts, then apply those discoveries to municipal operations. How researchers connect disparate data mirrors how cities should coordinate departments.
Research knowledge structures translate directly to legal reasoning. How researchers connect papers across fields mirrors how attorneys should connect cases across jurisdictions.
We discover patterns that work across all domains. How experts organize information, connect ideas, and reason about evidence follows similar structures whether in research, government, or law.
While we focus on government and legal applications, our knowledge research spans all fields—because universal principles of how knowledge works transcend any single domain.
Systems built on knowledge research enhance every stage of your work—from literature review through publication.
Comprehensive coverage of relevant literature with automatic synthesis and gap identification
AI-suggested research directions based on cross-domain insights and identified opportunities
Method selection and protocol optimization based on successful similar experiments
Pattern detection and interpretation guided by relevant precedents and domain knowledge
Venue selection, citation optimization, and impact prediction to maximize reach
See how knowledge research creates AI systems that actually understand how research works—no hallucinations, no missed connections, no wasted time.