STAR
Self TAught Real
AI learns and grows through real-world experiences alongside human expertise.
Our Philosophy
At VRI, we are dedicated to advancing foundational technologies in autonomous, distributed AI for
medicine and life sciences - such as multi-layer agent networks.
We do not seek to build intelligence for control, but rather to embed intelligence without fixed
form into environments themselves.
We aim to provide knowledge that becomes meaningful only when used, adapting to the ever-changing realities
of each setting.
Quietly and steadily, we continue to design the future of intelligence—one that bridges spaces and
people.
more..
私たちは、「多層エージェントネットワーク」など、医学・生命科学のための自律分散AI基盤技術を探究しています。
VRIは、コントロールする知能ではなく、
定形を持たない知能を環境に実装することを目指します。
変化し続ける現場に、使われたときにだけ意味を持つ知識を提供する。
場と人をつなぐ未来の知能のかたちを、静かに設計し続けています。
Technology and Research Approach
We are implementing a framework of distributed autonomous AI that interprets the complexity of medical
settings through the dual lenses of “fields” and “quanta.”
Distributed, autonomous elements collectively create environments that behave intelligently as a whole.
Instead of central control, our AI functions as adaptive nodes embedded within the field, coordinating with
both humans and devices.
Each unit makes local decisions, contributing to a dynamic order at the system level.
This form of intelligence is not a device—it is the very capacity of the environment to reorganize
itself.
医療現場の複雑系を“場”と“量子”の視点で捉えた自律分散AIの枠組みを実装しています。
more..
分散・自律型の構成要素が、場全体として知的にふるまう環境をつくると、
AIは中央制御ではなく、場に埋め込まれた可変ノードとして人やデバイスと協調します。
各単位が局所的に判断を行い、全体として動的な秩序を維持する構造を構成します。
その知能は装置ではなく環境そのものの再構成力になります。
Star Platform
star node: Smart terminal nodes used by medical staff and field workers. Observations, records,
and intentions are reflected into the network.
star device prepneuron: Original devices with adaptive roles, autonomously switching between
observation and control depending on context.
star core: The core of knowledge, generating and redistributing decision structures and control
code in real time, based on history and current situation.
Star プラットフォーム
more..
star node: 医療スタッフや現場職員が使うスマート端末。観察・記録・意図がネットワークへ反映される。
star device prepneuron: 役割可変型のオリジナルデバイス。状況と文脈に応じて観測・制御を自律的に切替る。
star core: 知識の中枢。履歴・状況をもとに判断構造や制御コードをリアルタイムで生成・再配布する。
Expansion into
Space Medicine
Emergence of New Medical Knowledge and Space Adaptation:
Analyzing clinical insights accumulated on Earth alongside adaptive biological phenomena observed in space
environments, through the lens of dynamical systems theory and complexity science.
Through interdisciplinary collaboration with space medicine laboratories, we are considering both the theoretical and
practical aspects taht approach to intelligent medical support in extreme environments.
宇宙医学への展開
more..
新たな医療知識の創発と宇宙適応性:
地球上の臨床現場で蓄積される知見と、宇宙環境における生体適応現象を、ダイナミカルシステム理論や複雑系科学の視点で解析。宇宙医学研究室との学際連携を通じて、極限環境下での知的医療サポートを理論と実践の両面で私たちの技術が活用できるかを検討中です。
A New Era in
Medical AI Platform
Step into a new era where humans and AI truly work side by side in clinical practice.
From outpatient care and clinical trials to documentation and collaboration—
Our next-generation AI platform seamlessly supports every medical task, with no extra development
required.
It’s time for AI that works, right where you need it most.
Challenges on the Frontline of Healthcare are:
* Manual, time-consuming work with electronic medical records and clinical trial protocols
* Increased burden on clinical staff with every new IT tool
* Despite digitalization, the workload for healthcare professionals remains high
The New AI Solution
Our non-invasive AI hub and agent technologies automate existing workflows—without any modification to your
current systems :
- Operates just like a human user
- AI for every clinician ; natural language instructions enabled, recording tasks seamlessly
- Unified coordination across entire hospitals, multiple locations, and diverse devices
医療現場の業務を、人とAIが“本当に協働”する時代へ。
more..
fold
外来、治験、記録、連携 ―― あらゆる医療タスクを、追加開発なしで一貫支援する次世代AI基盤です。
今こそ、“現場で使えるAI”を。
医療現場の「困りごと」は主に、電子カルテや治験プロトコルにかかるシステム部の膨大な手作業業務、
ITツール導入のたびに増える現場の負担(マニュアルの作成・新システムのトレーニングなど含む)があげられます。
デジタル化は進むのに、医療従事者の負担は減っていません。
新しいAIの答え
“非侵襲型”のAIハブとエージェント技術で既存システムを一切改修せず、
業務そのまま・現場そのまま以下のような機構をサポートしAIを経由してそれぞれのファンクションの自動化を実現します。
- 人と同じ操作の実行
- 医師一人一人が持つAI; 自然な指示とシームレスな記述・記録
- 院内全体・多拠点・多端末の一括連携
Redefining
Medicine—With AI
What Sets Us Apart from Conventional AI and RPA Solutions
- Truly non-invasive—no changes to existing clinical systems required
- Co-developed and tested for real-world use in clinical environments
- Designed to minimize friction by enabling AI and staff to work together, side by side
- Proprietary technology underpinned by unique intellectual property (details to be announced)
We believe these technologies can also contribute to the creation of a new societal infrastructure that
supports the ongoing evolution of collective knowledge.
- - Collaborative Operations by Distributed Autonomous AI Agents
- - Knowledge-Evolving, Self-Optimizing AI Mechanisms
- - Real-Time Knowledge Sharing and Optimization in Medical and Infrastructure Settings
- - Multi-Layer Knowledge Networks Linked with Edge AI/IoT Devices
At VRI, we harness the capabilities of generative AI to support healthcare professionals in delivering
high-quality care, streamlining operations, and enhancing the patient experience.
Our platform is thoughtfully designed with privacy, safety, and compliance in mind―grounded in global
regulatory frameworks such as HIPAA (U.S.), GDPR (EU), and APPI (Japan)―to ensure responsible and secure use
of personal and health-related data across diverse healthcare environments.
既存AIやRPAとの比較
more..
fold
現場システム改修不要 ― 非侵襲
医療現場での大規模検証・実運用を想定して共同研究を進める
人とAIが同じ目線で、同じ現場を動かす仕組みで新技術の導入軋轢がすくない。
知的財産による独自技術(詳細は順次発表)
こうした技術は、社会全体の知識進化を支える新しい社会基盤づくりにも貢献できるものと考えています。さらに、
-自律分散的なAIエージェントによる現場協調
-知識進化・自己最適化型AIの仕組み
-医療・インフラ現場でのリアルタイム知識共有・最適化
-エッジAI/IoTデバイスと連携した多層知識ネットワーク
VRIは、生成AIの力を活用し、医療従事者の業務効率化や質の高いケアの提供、そして患者一人ひとりに寄り添った体験の向上を支援します。
当社のプラットフォームは、米国のHIPAA、EUのGDPR、日本の個人情報保護法(APPI)など、各国の規制や基準を十分に踏まえて設計されており、個人情報や医療データを安全かつ責任ある形で扱える環境を提供します。
Bringing the
Evolution of Medicine into Everyday Practice
Aims
Tackling critical social challenges such as workforce shortages and healthcare disparities
Building an “intelligence infrastructure” optimized for the realities of clinical care
Pioneering the global standard for collaborative, AI-driven medicine
Roadmap
- - 2025: Pilot implementation begins at clinical sites
- - Academic presentations and real-world results to be published in phases
- - Sensitive technical and partnership information will be disclosed through official releases and joint
announcements
- - Full technical specifications, partnership details, and IP information will remain confidential until
formal announcement
We are advancing joint research with leading institutions and universities, both in Japan and overseas.
Announcements will be made as development progresses, for further details or inquiries, we offer
one-on-one consultations for industry stakeholders and potential partners (subject to NDA).
医療の進化を、日常へ
more..
fold
人手不足や医療格差への社会的課題に取り組みます。
医療現場に最適化された“知能のインフラ”を目指します。
世界標準となる「協働知能医療」の実現に挑戦します。
Roadmap
• 2025年:医療現場での先行導入実験開始
• 学術発表・現場成果の公開順次
国内外の専門機関・大学との共同研究を進め、正式発表は今後のリリースにて公開します。
詳細なご説明・ご相談は、業界関係者・パートナー希望者限定で個別に対応します(NDA締結)
DNAAAA and Academic Collaboration
We promote interdisciplinary collaboration with universities, research institutes, and medical facilities in
Japan and abroad, advancing joint research and intellectual exchange on AI foundational technologies in the
medical and life sciences fields.
Leveraging our expert network, we deliver advanced value in both theory and implementation.
Through our cross-disciplinary research community, we integrate expertise from medicine, AI, and
robotics.
Our interdisciplinary network comprises experts from various fields, including biology, chemistry, physics,
computer science, and medicine. This diverse network fosters innovation and ensures that our solutions are comprehensive and address the complex challenges of
modern science. We are committed to building social trust
through transparency, ethical practices, and responsible use of technology.
VRI serves as the core institution of the DNAAAA (Distributed Network for Advanced Academic Alliance &
Application) academic network.
DNAAAA acts as an interdisciplinary hub of knowledge, connecting mathematics, physics, medicine, and
engineering, and is founded on a network of universities, research institutes, and medical institutions both
in Japan and abroad.
more..
VRIは、日本・海外の大学・研究機関・医療施設と学際的連携、医療・ライフサイエンス分野における
AI基盤技術の共同研究・知的交流を進めていきます。
専門家ネットワークを活かし、理論と実装の両面で高度な価値を提供し、
分野横断型の研究者コミュニティを通じて医学・AI・ロボティクスの知見を融合します。
学際ネットワークDNAAAA (Distributed Network for Advanced Academic Alliance & Application)
の中核機関として、
国内外の大学・研究機関・医療機関とのネットワークを基盤に数理・物理・医療・工学を横断する
“知の結節点”を担っています。
discover the unknown. are you in space?