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Organization · CRAX AI Directors

Even how we research AI is redesigned.

An AI Director isn't a consumer of tech keywords — they discover the potential of technology, organize research direction, and lead all the way through service deployment as strategist-AI leaders.

The creamunion's AX Lab runs an applied research group centered on multimodal AI and quantum-computing applications — research and commercialization handled together.

AX Lab AI Directors research session — multimodal AI research group in collaboration
AI Directors · Research Session

— Research Operating System

56 researchers,
one operating system.

AI Directors don't treat multimodal AI as just training outputs. Researchers split into 7–8 person teams meet in regular sessions and mentoring across ~8 months — strong outcomes lead to partnerships, licensing, papers, and patents.

— Section 1

Not study — a research operating system.

  • 56 Researchers

    56 researchers in total, split into 7–8 person teams by theme, exploring and experimenting.

  • 8 Months

    Roughly eight months of recurring online/offline sessions and regular mentoring — operated as results-driven research, not a study group.

  • Commercial Path

    Strong outcomes are routed toward external partnerships, licensing, papers, and patent review.

— Section 2

Breaking multimodal AI into seven themes.

  • 01 — VQGAN

    Platform research on compressing and reconstructing generative textures and visual information. The basis for generative-image quality, style consistency, and lower production cost.

  • 02 — SCQ

    Real-time AI vision-engine research on fast compression. Extends into model structures that recognize and react quickly on the edge.

  • 03 — LVQAC

    An image-compression solution that preserves spatial detail. Applicable to areas where detail loss matters — medical, city, satellite, and field imagery.

  • 04 — Progressive Quantization

    Optimization for handling image embeddings more efficiently in search and recommendation. Connects to post-GEO/AEO visual-search responsiveness.

  • 05 — Soft-to-Hard

    Research on lightweight embeddings for on-device environments. A deployment strategy for fast-judging AI experiences on small devices.

  • 06 — VQ Clustering

    Clustering research that extends into satellite-image change-detection systems. Connects to spatial AI that reads urban, environmental, and infrastructure shifts as data.

  • 07 — Benchmark Platform

    A shared benchmark that compares and verifies performance. The basis for accumulating AX Lab's research results in criteria and numbers, not gut feel.

— Section 3

AI Directors sit between technology and strategy.

  • Discover — Tech keyword discovery

    Translate new models, compression methods, and embedding structures into the language of service possibility.

  • Direct — Lead research direction

    Not just acquiring tech — design which problem to apply it to and what criteria verify it.

  • Apply — Connect to commercialization

    Build a structure that moves research results into platforms, campaigns, city data, and on-device services.

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