AI cannot recognize the scene at night or in very low light
For low-light imaging, night monitoring, ports, factories, equipment and mobile systems, we can begin with cameras and HOLONIC Eyes and evaluate an on-site PoC.
PHYSICAL AI PLATFORM
VERTICALLY INTEGRATED / RESEARCH / IP / DEPLOYMENT
We connect AI cameras and sensors, Edge AI, drones and robotics, distributed AI nodes and AIDC through one coherent design.
We advance projects from collaborative R&D through PoC, IP strategy and productization to deployment and commercialization in Japan and overseas.
Bring Japanese engineering to the world as an AI-era standard.
WHAT WE ARE
Cameras and sensors perceive the real world, while Edge AI makes decisions at the point of operation. Those decisions drive drones, robots, vehicles and industrial equipment. Selected data is stored and learned from across distributed AI infrastructure and AIDC, and improved models are returned to the field.
STANDARD LINK is a Vertically Integrated Physical AI company that designs the eyes, brain, body, distributed processing and memory of AI as one system. Collaborative R&D, PoC, IP strategy, productization, operations and domestic and international commercialization form the cross-functional engine that turns this integration into deployable projects.
PHYSICAL AI ARCHITECTURE
AI cannot operate in the real world through software alone. Physical AI works only when sensor input quality, on-site Edge AI decisions, communications, robot and drone actions, data retention and model retraining are connected. Under a single design responsibility, we bring together our own technologies, group companies, strategic alliances, exclusive distribution rights and specialist expertise in Japan and overseas, integrating hardware and software without artificial boundaries.
Convert the physical world into visual data
Sense environmental and operating conditions
Recognize, filter and decide at the edge
Translate decisions into physical action
Process securely at field and site level
Store data, retrain and distribute models
Field data and operating knowledge feed learning and improvement, creating a cycle that strengthens the next decision and action.
START WITH THE FIELD ISSUE
We examine what is happening on site, the available data, the installation environment and the business objective, then define the right technologies and implementation path.
For low-light imaging, night monitoring, ports, factories, equipment and mobile systems, we can begin with cameras and HOLONIC Eyes and evaluate an on-site PoC.
We design closed-network environments, on-premises AI, private AI and edge inference around where data can be stored and processed.
We assess compact AI data centers, GPU infrastructure, phased deployment and distributed placement, starting at a scale suited to the use case and site conditions.
We organize industry-academia collaboration, PoC, IP strategy, productization and fit with public R&D programs as one commercialization pathway.
We consider evaluation, PoC, Edge AI, local LLMs and compact AIDC to define an initial configuration that is proportionate to the objective.
We jointly develop AI camera, Edge AI and autonomous or remote-operation configurations that enable mobile systems to perceive and decide in the field.
We assess visual inspection, equipment monitoring, skill transfer, closed-network AI and field-data use through PoC aligned with existing equipment and operations.
PHYSICAL AI STACK
These domains are not simply sold as separate offerings. We configure the eyes, brain, body and memory of AI as one system around each operational challenge.

Starting with color night vision and AI cameras, we turn video and multiple sensor streams into high-quality AI input for understanding the field.
AI cameras / vision AI / color night vision / night monitoring / sensing View camera technology
Depending on the use case, we can configure VIA ARTiGO A5000, NVIDIA Jetson, local LLMs and generative AI, and jointly develop an AI platform that recognizes and decides at the edge or in a closed-network environment. We assess the path from PoC to operations in stages while reducing data transfer and latency.
Edge AI / on-premises AI / private AI / closed-network AI / local LLMs Discuss an Edge AI PoC
We integrate AI cameras and Edge AI into drones and robots, jointly developing perception and decision systems for remote and autonomous operations.
Drone AI / autonomous flight / robotics AI / remote monitoring View drone technology
For research sites, factories, municipalities and closed-network environments, we assess AI compute infrastructure located close to operations, starting with a compact configuration and scaling in stages.
Compact AI data centers / modular AIDC / GPU infrastructure / distributed AI infrastructure View AIDC configurationsAIDC is not a prerequisite for every project. Depending on the objective, Edge AI or a local LLM may be sufficient.
RESEARCH, IP & SOCIAL IMPLEMENTATION
For each project, we bring together companies, universities, specialists and technology partners, progressing from collaborative R&D through PoC, IP strategy and productization. Depending on the R&D theme and delivery structure, we also assess potential alignment with public R&D programs and industry-academia-government collaboration.
Discuss a collaborative R&D themeSMALL START / MODULAR GROWTH
Rather than assuming a large facility from day one, begin with a compact research, PoC or enterprise AI platform and expand in stages as results, utilization and site conditions are verified.
We assess UPS, cooling, racks, monitoring and management as an integrated system, configured for potential use in research facilities, factories, municipalities, closed-network environments and PoC sites.
Configuration, the definition of the stated power figure, GPU, cooling method, site conditions, delivery schedule and maintenance terms are confirmed for each project.
EDGE-TO-CORE AI
The architecture is designed around the use case, data volume and closed-network requirements. AIDC or a Core AI Data Center is not assumed for every project.
RESEARCH & EXPERT NETWORK
We connect expertise in AI and computer vision, mathematics and data science, advanced manufacturing, environment and agriculture, energy, law and IP, and international affairs and security according to each project. Beyond advisory input, we work with companies, universities, research institutions and technology partners from research-theme design through PoC, IP strategy, productization and real-world deployment.
We are building a structure that can address R&D and deployment challenges faced not only by companies, but also by universities, research institutions, municipalities and regional communities. Any specific collaboration or participation is subject to agreement among the parties involved.
View the Advisory BoardLAYERED PUBLIC EVIDENCE
We organize partnerships, products, IP and news not merely as a timeline, but as public evidence supporting the eyes, brain, body, distributed processing and memory of AI.

AI EYE / PRODUCT EVIDENCE
HOLONIC Eyes HE-1 is tangible product evidence of the AI EYE layer and an entry point to Vertically Integrated Physical AI. We assess PoC configurations that extend beyond the camera to Edge AI, drones and robotics, and distributed AI infrastructure.
See HE-1 in actionINTELLECTUAL PROPERTY
Alongside collaborative R&D and PoC, we clarify market scope, data rights, implementation rights and licensing. Building on granted patents and published applications, we design an IP approach for each project that supports productization and deployment in Japan and overseas.
View public IPFAQ
Even when key details remain open at the outset, we can begin by identifying the conditions that need to be verified.
Yes. We review the operational challenge, available data, installation environment and business objective, then assess the appropriate path across AI cameras, Edge AI, local LLMs, compact AIDC and collaborative R&D.
Depending on the challenge and research theme, we assess potential collaboration with internal and external specialists, universities, research institutions and technology partners. Participation in any specific project is subject to agreement among the parties involved.
No. Application filing is not our primary business. We design the R&D theme, delivery structure, PoC, IP strategy and commercialization plan, and consider the use of public R&D programs when the project aligns with their requirements. Funding approval is not guaranteed.
A public reference configuration uses a 20-foot container, 5 racks and a 27kW configuration. We review the use case, GPU, cooling, site, power conditions and maintenance requirements, then assess a phased deployment.
START WITH YOUR CHALLENGE