Create and Save the Universe by Superintelligence
What We Do
Artificial Intelligence
We research and develop artificial intelligence (AI) on the basis of our technologies "World System on the Basis of Bidirectional Encoder Representations from Transformers(BERT), Categorical Network(CN) and Point-Voxel Convolutional Neural Network(PVCNN)" and "Categorical AI." Our AI models are based on category theory, which has higher performance and wider versatility than common AI models based on statistics. We will develop and provide it on a platform with a quantum computer as the backend and a metaverse as the frontend.
Whitepapers
Case 1:
Case 2:
Metaverse System Based on Visual Geometry Grounded Transformer Architecture
Case 3 (Patent in Japan):
高次元微分演算子を計算するための確率的テンソル縮約ネットワーク (特願2025-046150・特許7734902)
Case 4 (Patent in Japan):
動的再構成による相関復号量子コンピュータ (特願2025-057408・特許7749274)
Energy
We research and development energies, especially in nuclear fusion, using Categorical AI. Categorical AI based on category theory can perform high-precision simulation of plasma behavior (description of complex plasma physics by nonlinear partial differential equation systems, integrated modeling of multi-scale phenomena, etc.) and optimization of material design (integration of first principles calculation and machine learning, prediction of material degradation under high temperature and high radiation environment, efficient sampling of search space for novel material efficient sampling of the search space for candidate materials), and contribute to the invention, design, and development of innovative fusion reactors.
White Papers
Case 1:
Case 2:
Advanced Spherical Tokamak Fusion Reactor with Optimized Pedestal Stability Control System
Case 3 (Patent Filing in Japan):
核融合炉ダイバータ用改良型ヘリカルナット冷却システム (特願2025-060194)
Case 4 (Patent Filing in Japan):
トカマク型核融合炉用適応型エッジ局在3D磁場制御システム (特願2025-057034)
Space
We use Categorical AI to conduct research and development in space exploration, particularly in the fields of rockets and artificial satellites. Categorical AI serves as a mathematical engine that formally connects knowledge and data from complex, heterogeneous domains, enabling safe and optimal design and operation. In the future, it has the potential to form the foundation of a space exploration platform capable of automated design, verification, and integration.
Whitepapers
Case 1:
Magnetohydrodynamic Drag Augmentation System for Planetary Entry Vehicles
Case 2:
Spaceborne Quantum-Enhanced Gravitational Wave Detection Satellite System
Case 3 (Patent Filing in Japan):
予測的世界モデルを用いた適応型ランデブー・ドッキング宇宙機システム (特願2025-069191)
Case 4 (Patent Filing in Japan):
衛星搭載型一貫性モデルによる地球システムモデル予測のリアルタイム高解像度化システム (特願2025-069190)
Bio・Chemistry・Pharmaceuticals/Life Science
We research and develop bio, chemistry, pharmaceuticals・life sciences using Categorical AI. Categorical AI based on category theory unifies all scientific disciplines, including mathematics, physics, chemistry, and biology. In addition, "new combination" can be achieved by linking different knowledge domains. This will lead to inventions of new medicines, discoveries of new chemical substances and so on.
Whitepapers
Case 1:
Engineered Cells for Controlled Pyroptotic Signaling and Therapeutic Applications
Case 2:
Novel Photoactive Iminium Ion Catalysts for Triplet State-Mediated Asymmetric Cycloadditions
Case 3:
Pharmaceutical Composition and Method for Treating Cutaneous Squamous Cell Carcinoma
Case 5 (Patent Filing in Japan):
組織工学のためのRNAオリガミベースのプログラム可能な細胞外マトリックス模倣材料 (特願2025-064788)
Case 4 (Patent in Japan):
温度制御型エネルギー増幅機能を有する二次元/三次元ハイブリッド半導体構造及びその応用 (特願2025-069364・特許7733347)
Case 6 (Patent Filing in Japan):
特定の疾患や細胞環境に合わせた有望な医薬品候補分子を生成するための新しい人工知能システム (特願2025-050843)
Investment Banking
We, as an institutional investor apply Categorical AI to investment banking, especially corporate valuation and due diligence. Categorical AI achieves multifaceted analysis through a sophisticated multi-layered analytical architecture. By comprehending the temporal correlations within dynamic datasets, we can identify value creation opportunities that traditional methodologies frequently overlooked.
In corporate valuation, we have constructed advanced predictive models utilizing Categorical AI. These models integrate multiple valuation methodologies, including future cash flow projections, comparable company analysis, and net asset valuation. Furthermore, Categorical AI automatically identifies industry-specific value drivers, enabling more precise corporate valuations.
Our due diligence process employs a comprehensive analytical approach incorporating both textual and numerical data. Using cutting-edge natural language processing technologies, we extract critical information from corporate disclosures, news articles, and social media posts, quantifying risk factors and business opportunities. In analyzing business relationships and market trends, we visualize inter-corporate networks to illuminate potential risks and opportunities.
New York General Group Presents New Vision at the United Nations 2023 United Nations Climate Change Conference (COP28)
Global Megatrends Outlook 2025
- Navigating the Transformative Forces Shaping Our Future -
Our Reports
Artificial General Intelligence (AGI) represents a fundamental paradigm shift in computational capability, distinguished by systems that demonstrate cognitive flexibility comparable to human intelligence across diverse intellectual domains. AGI exhibits transferable learning capabilities that enable knowledge acquired in one domain to be successfully applied to entirely different contexts without extensive retraining or architectural modification. This cognitive transferability, combined with contextual understanding that goes beyond mere pattern matching to encompass semantic meaning and causal relationships, positions AGI as a transformative force across multiple industrial sectors.
The New York General Group's 2025 Global Economic Outlook presents a comprehensive analysis of a fundamentally altered global economic landscape. The report articulates that we have entered a "Transformation Economy" where traditional business cycle paradigms have been rendered obsolete. This transformation is evidenced by several empirical anomalies, including the decoupling of inflation and growth metrics, the failure of traditional recession indicators, heightened market sensitivity to economic data, persistent structural inflation pressures, and unprecedented divergence in sectoral performance.
The global economic landscape is undergoing a profound transformation driven by significant U.S. policy shifts that are reverberating across markets worldwide. This analysis examines the multidimensional impact of these policy changes on growth trajectories, inflation dynamics, fiscal positions, and investment opportunities. The current environment represents a departure from traditional business cycles, with supply-side factors increasingly dominating economic outcomes and creating unprecedented challenges for investors seeking to navigate this complex terrain.
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New York General Group
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