Kate Colmer

Kate Colmer is Head of Studio at Huckleberry Way, where she leads design, build, and production, the craft that turns a verified business into something people and machines both read clearly.

Leadership

Verified underneath, unmistakable on the surface.

An award-winning visual designer and creative director, she has spent a career making complex information land: brand systems, interactive media, animation, and broadcast-quality video for enterprise clients including Microsoft, Toyota, and Maple Leaf Foods. She was the lead on Huckleberry's Toyota work, including new-hire training built for 4K interactive touchscreens, and her eLearning work earned a Gold Stevie Award. At Huckleberry Films and now Huckleberry Way, she is the reason the work is not only correct underneath, but clear and compelling on the surface.

A career spent making the complicated clear.

Most of Kate's work has answered a single question: how do you take something complex and make a person actually understand it? As a Senior Art Director at Protiviti and across a client roster that spans Microsoft, Toyota, Maple Leaf Foods, Bloomingdale's, Manulife, and dozens more, she built the training, brand systems, and interactive experiences that turn dense expertise into something clear, credible, and worth paying attention to. Her eLearning work earned a Gold Stevie Award. Her craft runs the full range: brand design, animation, video production from shoot to post, and interactive media built for real audiences.

That is a rarer fit for this firm than it first appears. Huckleberry Way makes a business legible to machines; Kate has spent her career making expertise legible to people, and the two are the same discipline pointed at different audiences. The Toyota work is the clearest example: new-hire training rendered on 4K interactive touchscreens, where the information architecture had to be flawless and the experience had to be genuinely engaging, both at once. That is the standard she holds every surface to.

Structure that a machine can verify still has to be expressed in a form a human will trust. Kate is how Huckleberry Way makes sure it is.

At Huckleberry Way

Head of Studio.

Kate leads the studio: design, development, and build, the visible layer where a client's verified record becomes a website, a profile, a proof asset, a piece of work someone is proud to show. She owns how the architecture looks and reads, so that the credibility built into it underneath is matched by the quality of it on the surface. When a client sees their own Authority Record for the first time, what they see is Kate's work.

  • MLIS Research

    Study focus on information systems and search engines, studying how documents reference each other and how those patterns determine authority. Google hadn’t shipped PageRank yet, but the underlying principles were already the subject of information science research.

    Von Darnell
    hasCredential
    MLIS
    MLIS Research
    studiedTopic
    Citation Clustering
    Citation Clustering
    foundationOf
    knowledge Architecture
  • ChoreoGraphics Web Development

    Founded during her MLIS program, ChoreoGraphics specialized in database-driven web architecture during the internet’s nascent commercial phase. While most early websites were static text, Von integrated back-end databases with dynamic front-ends to build early e-commerce and real estate platforms. She was building the exact transport layer required to move structured data out of a database and into a searchable web interface.

    Von Darnell
    founded
    ChoreoGraphics
    ChoreoGraphics
    providedService
    Web Development
  • Cyberplex / Chapters Online

    Von managed the full-cycle delivery of early enterprise web systems, where architecting highly complex, database-driven platforms required a strong focus on the underlying data layer. Whether applying complex taxonomy to build retrieval systems for the landmark Chapters Online e-commerce platform, or engineering a highly relational B2B2C content management system for global CPG brands, the goal was the same: organizing multi-layered enterprise data into structured entities so it could be dynamically queried, related, and surfaced

    Von Darnell
    workedAt
    Cyberplex
    Cyberplex
    builtPlatform
    Chapters Online
    Chapters Online
    demonstratesExpertise
    Catalogue Architecture
  • Agfa Healthcare

    Healthcare data at global scale is sensitive, heavily regulated, and infinitely complex. Managing Agfa’s flagship clinical imaging gateway required executing entity disambiguation where the stakes were absolute. Integrating diagnostic records across disparate hospital systems demanded flawless structured data architecture; ensuring interoperability and explicit relationships with zero margin for error.

    Von Darnell
    workedAt
    Agfa Healthcare
    Role
    managedProduct
    IMPAX PACS
    IMPAX PACS
    demonstratesExpertise
    Enterprise Health Data
  • SAP BusinessObjects

    Before AI answer engines needed knowledge graphs, global enterprises needed business intelligence to make sense of their operations. Von led the worldwide delivery of SAP's flagship BI platform, driving foundational advancements in OLAP (Online Analytical Processing) multidimensional data models. This was the relational semantic layer; the structural architecture that understands relationships, hierarchies, and how to formulate complex queries against data. It established the exact paradigm that makes modern AI possible: taking siloed, disparate information and architecting it into a unified model that systems can reason against.

    Von Darnell
    workedAt
    SAP BusinessObjects
    Role
    ledProject
    Project Titan
    Project Titan
    scale
    18+ Global Dev Sites
  • Huckleberry Films

    Von launched a full-scale production house producing award-winning proof-of-expertise content for enterprise leaders. A decade of producing case studies for Microsoft, Toyota, Maple Leaf. The methodology that became Proof Architecture: how to extract expertise, document it at the highest level, and structure it so it creates lasting authority.

    Von Darnell
    founded
    Huckleberry Films
    Huckleberry Films
    servedClient
    Microsoft, Toyota, Maple Leaf Foods
    Methodology
    becameBasisOf
  • Huckleberry Way

    The convergence. Information science + enterprise systems + structured proof assets, unified into a knowledge architecture practice. The firm where all the relationships in this graph connect.

    Von Darnell
    founded
    Huckleberry Way
    Huckleberry Way
    offers
    Knowledge Architecture
    MLIS + Enterprise + Content
    convergesAt
knowsAbout

Domains of expertise.

The knowsAbout property declares what a Person entity has expertise in. These are the domains Von brings to every client engagement.

  • Knowledge Architecture

    Entity modelling, taxonomy design, semantic frameworks. How to structure a business so AI systems can navigate it.

  • Schema Markup

    Structured data implementation, Wikidata reconciliation, sameAs loop closure. The translation layer between websites and AI.

  • Authority Control

    Establishing canonical entities, disambiguating similar businesses, building verified presence across knowledge systems.

  • Knowledge Graphs

    Google’s Knowledge Graph, Wikidata, and how AI systems query structured knowledge to decide who to recommend.

  • Enterprise Content Strategy

    Proof-of-expertise production at scale. How to extract, document, and structure the evidence that creates authority.

  • Case Study Production

    $15K–$60K enterprise methodology. Stakeholder interviews, narrative design, schema engineering, publication as knowledge assets.

  • Enterprise Systems

    SAP BusinessObjects, Agfa Healthcare PACS, large-scale project coordination across global development teams. First-hand knowledge of how procurement systems evaluate suppliers.

  • Information Science

    Citation analysis, search engine behaviour, cataloguing theory, classification systems. The 100-year-old discipline that now powers AI discovery.

Proof Connections

Documented outcomes.

In knowledge graph terms, proof is a declared relationship between an entity and a verified result. Here are some of those connections.

  • Enterprise Content

    Microsoft, Toyota, Maple Leaf Foods

    Enterprise-grade case studies. This rigorous evidence-gathering methodology became Proof Architecture™: documenting enterprise authority at the highest level so AI systems can cite it.

  • Enterprise Systems

    SAP Project Titan

    Led the global delivery of foundational OLAP multidimensional models. We built the relational semantic layer; architecting complex, logical data into unified relational models that enterprise systems could actually reason against.

  • Enterprise Systems

    Agfa Healthcare IMPAX PACS

    Managed the data architecture for Agfa’s flagship clinical imaging gateway. We executed rigorous entity disambiguation and interoperability, establishing exactly how structured data must flow when trust is absolute.

  • E-Commerce

    Cyberplex: Chapters

    Foundational data layers for early enterprise web systems. We applied complex taxonomy to organize multi-layered digital inventory into structured entities for instant, dynamic retrieval.

  • Research

    MLIS research: Search Engines

    Original research on citation patterns and search engine behaviour, studying how authority signals propagate through linked documents.

  • Founding

    Huckleberry Way

    Founded the knowledge architecture firm where information science, enterprise systems, and elite content converge into a practice built for AI-era discovery.

sameAs

Verify this entity.

In knowledge graph terms, sameAs links connect an entity to its verified presence across platforms. These links tell AI systems: this Person entity on this page is the same person found at each of these locations. The loop is closed.

Additional sameAs links are added as verified profiles are established. Each new link strengthens the entity’s verification loop.