CURRENT RESEARCH ORIENTATIONS

Our research has transitioned from general capability acquisition to capability control. We no longer focus on 'training bigger models,' but on the sophisticated integration of inference-time compute, non-Transformer backbones, and embodied physical manifestation.
SYSTEM 2 REASONING
Focus: Shifting from rapid pattern matching (System 1) to deliberate, verifiable, and iterative reasoning processes (System 2).
NEXT-GEN ARCHITECTURES
Focus: Moving beyond the "Transformer Monoculture" toward linear-time inference and extreme hardware efficiency.
EMBODIED INTELLIGENCE (VLA)
Focus: Bridging the "Sim-to-Real" gap by developing Vision-Language-Action models for general-purpose robotics.
AGENTIC SAFETY & PRIVACY
Focus: Addressing the "Agentic Shift" by securing autonomous systems against sabotage and preserving data privacy in decentralized networks.
Agentic Systems connecting all Businesses
Cutting-edge AI products designed to tackle complex challenges and push the boundaries of artificial intelligence.

Hypersym
Re-imagine industrial simulations at scale. HyperSym Agents turn natural language instructions into validated simulation models — cutting development time by up to 20×.
Learn more →
Functor
Ambient Intelligence, Proactive Memory. Your memory is not a retrieval system, it proactively assists you to think better.
Learn more →![CUA [VENV]](/cua_venv_abstract_art.png)
CUA [VENV]
Contextual Understanding Agent in Virtual Environment with spatial reasoning and real-time adaptation capabilities.
Coming SoonBlog
Insights on AI research, reinforcement learning, geometric deep learning, and building the future of intelligent systems.
Learn more →
BUILDING THE FUTURE OF AI
RESEARCHER-CENTRIC APPROACH
We value the contributions of our researchers, providing authorship recognition, travel grants, and publication support for candidates from diverse backgrounds. Our strong alumni community focuses on building lasting professional and personal bonds.
COLLABORATIVE ENVIRONMENT
We foster a collaborative research environment with computational resources, discussion pods, and knowledge-sharing platforms. Our approach combines creative thinking, coding, and experimentation with proper guidance and direction.