Technological Focus Areas
We focus exclusively on three tightly integrated layers: software intelligence, physical control, and the silicon that powers both.
1. Artificial Intelligence & Reasoning
Building and fine-tuning large language models. Our work spans model architecture, sparse attention mechanisms, and inference optimization — with a dedicated focus on making advanced reasoning practical, efficient, and deployable at scale.
Key Technical Vectors
- Parameter-efficient fine-tuning and state-space model architectures
- Sparse neural network pruning for real-time edge processing
- Deterministic verification pipelines for autonomous systems
2. Robotics Software & Embodied Middleware
Developing the software stack for autonomous robotic systems — perception, spatial planning, and closed-loop control. We bridge the critical gap between abstract multimodal models and real-time physical actuators.
Key Technical Vectors
- Sub-millisecond latency sensor fusion and vision-language-action (VLA) models
- Reinforcement learning policies with sim-to-real domain randomization
- Hardware-agnostic motor driver abstractions and safety interlocks
3. Chip Architecture & Accelerators
Research into custom accelerator design. Purpose-built silicon optimized specifically for the sparse matrix multiplications and continuous spatial reasoning workflows demanded by tomorrow's robotics and foundation models.
Key Technical Vectors
- Memory-centric compute architectures eliminating memory wall bottlenecks
- Asynchronous spatial tensor cores optimized for dynamic sparsity
- RISC-V heterogeneous co-processors for embedded robotics controllers