The Slide Creator R&D Lab is organized into several distinct technical domains, each focused on a specific challenge in the world of AI-driven visual communication. Our research is both foundational and applied—we seek to understand the nature of design while building the tools that automate it.
1. Generative Layout Intelligence
Teaching AI to understand the "Golden Ratio," visual hierarchy, and the relationship between text and imagery.
Key Project: The Bento Grid Neural Architecture.
- Deep Dive: Layout Intelligence Research
2. OOXML & Document Engineering
Bridging the gap between non-deterministic AI outputs and the rigid, deterministic world of Microsoft PowerPoint.
Key Project: The Native Anchor Architecture™ v5.0.
- Deep Dive: OOXML Optimization Research
3. Brand Semantics & Semiotics
Encoding corporate identity—colors, fonts, logos—directly into the latent space of generative models.
Key Project: The Brand Intelligence Protocol™.
- Deep Dive: Design Semantics Research
4. Human-AI Interaction (HAI)
Studying the "Copilot vs. Autopilot" paradigm and building interfaces that empower users through collaborative design.
Key Project: Iterative Intent Disambiguation.
- Deep Dive: Human-AI Interaction Research
5. Multimodal Data Fusion
Training models that can simultaneously parse complex financial tables, brand guidelines, and natural language prompts to create cohesive narratives.
Key Project: The Data-to-Slide Semantic Bridge.
6. Sustainable Computing
Optimizing our model architectures and inference kernels to reduce the carbon footprint of every slide generated.
Key Project: INT8/FP8 Model Quantization for Design.
- Read More: Green Computing
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Research Roadmap
Our 2026-2027 research roadmap is focused on Narrative Cohesion—teaching AI to maintain a consistent logical and visual thread across 50+ slide presentations.
For a list of our published findings, see our Publications page.