Spartina TechnologySpartina Technology

Case Studies

Internal demos & prototype projects

We build real pipelines, not just one-off demos. These projects demonstrate our approach to turning samples and ideas into deliverable AI products.

Industrial Defect Data Enhancement
IndustrialLive Demo

Industrial Defect Data Enhancement

A handful of real industrial images in, a varied defect-augmented dataset out — built for AI quality-inspection model training.

Problem

Training industrial defect detection models requires diverse defect samples, but real-world defect data is scarce and hard to collect.

Input

20+ real industrial product images with very few defect samples.

Process

  1. 1Defect morphology analysis and type classification
  2. 2Synthetic defect generation with diffusion models
  3. 3Mask and label pair generation
  4. 4Quality filtering and dataset splitting

Deliverables

Augmented imagesDefect masksClass labelsTrain/val split
Leo & Mia AI Education
EducationIn Production

Leo & Mia AI Education

AI-generated English leveled reading, short essays, children's illustrations, and serialized educational content.

Problem

Producing consistent, high-quality educational content at scale is expensive and slow — especially illustrations and leveled reading series.

Input

Educational themes, target age range, and reading level specifications.

Process

  1. 1Theme and storyline planning
  2. 2Structured content generation with LLM
  3. 3Style-consistent illustration generation
  4. 4Level matching and quality review

Deliverables

Reading passagesIllustrationsLevel setsTeacher notes
Generative Visual Product Line
ConsumerShipping

Generative Visual Product Line

A consumer visual matrix — wallpapers, digital art sets, IP imagery, and social content delivered as product drops.

Problem

Consumer-facing products need continuous visual updates to stay relevant, but traditional production can't keep up with release cadence.

Input

Brand guidelines, theme directions, and target platform specifications.

Process

  1. 1Style system and theme definition
  2. 2Batch generation with style locking
  3. 3Quality review and curation
  4. 4Multi-format export and packaging

Deliverables

Wallpaper setsArt collectionsIP imagerySocial assets
Game & Film Concept Assets
EntertainmentPrototype

Game & Film Concept Assets

Characters, scenes, props, storyboards, and promo visuals for games, short drama, and film pre-production.

Problem

Game and film pre-production requires rapid concept iteration to find the right visual direction, but traditional pipelines are time-consuming.

Input

Worldbuilding brief, character descriptions, and reference materials.

Process

  1. 1Worldview and style exploration
  2. 2Character concept iteration
  3. 3Environment and scene design
  4. 4Storyboard and key frame generation

Deliverables

Character conceptsScene designsStoryboard framesPromo visuals
Spot-the-Difference Content Pipeline
GameInternal pipeline / Validated prototype

Spot-the-Difference Content Pipeline

An internal pipeline that turns a single style brief into paired A/B images with labeled difference points and level-ready metadata for spot-the-difference gameplay.

Problem

Spot-the-difference gameplay needs two highly consistent images with clear, intentional local differences, plus accurate answer data recording where each difference lives.

Input

Gameplay requirements, scene style, and base prompts or reference images.

Process

  1. 1Generate the base (A) image with a ComfyUI generation pipeline
  2. 2Apply a controlled local edit to produce the paired (B) image
  3. 3Use the internal annotation tool to record difference coordinates, radius, hint, and description
  4. 4Export the A/B pair, labels, and metadata as a level-ready package

Deliverables

A/B image pairsLabeled difference pointsHintsDescriptionsLevel-ready metadata

Want to explore a project with Spartina Technology?

Bring us your samples, ideas, or production bottlenecks — we turn them into deliverable AI products.

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