AppSofa Research Lab
Frontier AI research powered by high-performance NVIDIA GPU infrastructure. Advancing the boundaries of neural networks, language models, and autonomous systems.
NVIDIA GPU Clusters
Our lab is backed by the NVIDIA Inception Program and powered by a cluster of NVIDIA GPUs with 96 GB of memory per unit — enabling large-scale training of frontier models and real-time inference at research scale.
Research Areas
Three core disciplines driving our applied AI research and development.
GNN and Graph Transformer
Advancing graph transformer architectures for relational learning. Our published work RelGT-AC extends graph transformers for autocomplete prediction in relational databases using heterogeneous graph representations.
- Relational graph transformers
- Heterogeneous graph learning
- Relational database ML
- Autocomplete prediction tasks
- Text-heavy feature encoding
Large Language Models
Research into efficient fine-tuning, domain adaptation, and deployment of large language models for specialized enterprise applications.
- Instruction tuning and RLHF
- Domain-specific fine-tuning
- RAG architectures
- Quantization and efficiency
- Multi-modal integration
Drone AI Systems
Developing autonomous navigation, computer vision, and swarm intelligence systems for unmanned aerial vehicle platforms.
- Autonomous navigation and SLAM
- Real-time object detection
- Swarm coordination algorithms
- Edge AI deployment
- Simulation and testing
Collaborate with Our Lab
Interested in research partnerships, joint publications, or applying our research to your domain?
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