We connect field data, patented imaging, edge AI and secure generative AI from consultation and PoC through deployment and improvement.
WHY STANDARD LINK
We are not a late entrant built around a generic AI wrapper.
Our work starts with real sensors, operating constraints and published intellectual property, then integrates global technology where it adds value.
Field data and AI
Design begins with the data that actually exists at the site.
Patent-backed technology
Registered patents in image processing and monitoring support product development.
Global integration
Camera, edge, drone and infrastructure partners are combined into practical systems.
02 / WHY US
AI does not work in the field through software alone.
AI projects usually fail on the input side, not in the algorithm. Darkness, backlight, outdoor conditions, limited connectivity and data that cannot leave the site are field constraints that software alone cannot overcome. Standard Link brings together cameras (eyes) and edge AI (brains) as its technology and intellectual property, carrying responsibility from development through field implementation.
Perspective
Software-only AI development
Standard Link
Training data
Assumes data already held by the customer.
Supports the stage of acquiring data, from sensor selection and installation design.
Low light and harsh conditions
Depends on the performance of existing cameras.
Supplies 0.0007-lux color night vision.
Responsibility boundary
Camera, AI and system integration are handled separately.
One team handles eyes, brain and implementation without creating handoff boundaries.
Data egress
Often assumes use of public cloud services.
Designed around edge, closed-network and on-premises configurations.
Intellectual property
Handled separately for each project.
Holds its own patents and supports rights design for deliverables.
This compares typical configurations and does not refer to any specific company.
03 / NO DATA START
Start even when there is no training data.
The most common AI inquiry is: we have no data, or we have data but cannot use it. This is where many evaluations stop.
We design which sensors to use, where to place them and under what conditions the resulting data can train AI. We can start with image capture itself. When existing camera footage is too dark to judge, we can include a review of the camera configuration in the proposal.
The same team can move from zero data to a PoC. That is the advantage of a development company that owns its camera capability.
Projects are scoped around measurable operations, security requirements and existing systems.
Image and video AI
Recognition, tracking, anomaly detection and visual inspection.
Generative AI and secure RAG
Knowledge retrieval and assistants inside controlled networks.
AI agent implementation
Workflow automation that connects documents, systems and approvals.
DX and operations support
PoC design, deployment, monitoring and continuous improvement.
Text-free edge AI implementation reference.
We build on the NVIDIA Jetson ecosystem, designing end to end from the edge to closed-network data infrastructure.
04 / DELIVERABLES
Scope and deliverables
The configuration changes by project. A typical scope is as follows.
01 Image and video AI development
Target work
Visual inspection (defects, missing parts and foreign objects), anomaly detection, action recognition, detection and tracking of people, vehicles and vessels, and night or low-light video analysis
Characteristics
Low-latency processing at the edge. We can participate from camera, lens and lighting-condition design, while also supporting use of existing camera assets.
Delivery model
PoC / full development / embedded implementation in edge equipment
Key deliverables
Trained models, inference applications, accuracy evaluation reports and operating procedures
02 Generative AI and secure RAG implementation
Target work
Internal document search, technical knowledge structuring, automatic generation of reports and meeting minutes, and reading drawings and forms
Characteristics
Supports closed-network and on-premises configurations. Models are selected by confidentiality, response speed, cost and operating environment, without being fixed to a particular vendor.
Delivery model
Environment setup / RAG pipeline development / operating design
Key deliverables
RAG environment, document-processing pipeline, accuracy evaluation, and access-control and audit design
03 AI agent workflow implementation
Target work
First-line inquiry handling, inspection-record creation, report generation and workflow connections between business systems
Characteristics
Connects existing business systems and APIs, designed around human-in-the-loop operations.
Delivery model
Workflow design / agent development / integration with existing systems
Key deliverables
Agent implementation, integration interfaces, operating rules, and logging and audit design
04 DX partnership and operations support
Target work
Business inventory, identification of AI use areas, PoC planning, investment-decision materials and internal rollout
Characteristics
The goal is not simply to introduce AI, but to change the work itself.
Delivery model
Advisory / PoC design / post-deployment improvement support
Key deliverables
Current-state analysis, application roadmap, PoC design and operating-structure plan
USE CASES
AI that works in the field.
Three representative starting points connect immediate operational value to the broader platform.
Visual inspection AI - less dependence on lighting
HOLONIC Eyes captures color at 0.0007 lux. We design imaging and edge decisions for dark, backlit and changing-light environments.
Example 3: Internal knowledge generative AI on a closed network
Challenge
Design drawings and technical documents need to be used without being taken to external cloud services.
Configuration
RAG foundation in a closed-network, on-premises environment -> internal search and summaries with access control -> consideration of later consolidation on a proprietary AI foundation
Point
Data location, learning-use scope and access rights are clarified by contract.
The above are example configurations based on typical inquiries and do not represent specific deployments.
INDUSTRIES
AI for places where it will actually be used.
We adapt the data path, interface and operational model for manufacturing, security, public-sector operations, disaster resilience, agriculture, logistics, ports, services and facilities.
Manufacturing
Inspection, equipment monitoring and work support.
Security
Night monitoring, event detection and evidence.
Local government and disaster response
Closed-network information use and resilient field operations.
Agriculture and environment
Long-term sensing and local decisions.
Logistics and ports
Wide-area awareness, fleet and cargo workflows.
Services and facilities
Knowledge search, reporting and operational agents.
PROCESS
Start small, verify, then expand.
A project proceeds through consultation, PoC, deployment and operation. Each stage has a clear decision gate.
Consultation
Clarify the operational problem, data and constraints.
PoC
Test technical feasibility and evaluation criteria.
Development and deployment
Integrate with devices, networks and systems.
Operation and improvement
Monitor outcomes and update models and workflows.
07 / COST & TIMELINE
How costs and timelines are considered
Costs are estimated across requirements definition, data preparation, model development, field implementation and operations support. The following five factors have the greatest impact.
Availability and volume of training data
Field conditions (illumination, installation environment and communications)
Scope of integration with existing systems
Whether a closed-network or on-premises configuration is required
Required accuracy and number of validation cycles
We recommend first using a PoC (small-scale validation) to assess value and difficulty, then preparing the basis for a full-development investment decision. A typical PoC period is 4-8 weeks. During the initial consultation, we explain the approach and the basis for an estimate.
Timelines and costs vary by project conditions. The periods stated are estimates, not guaranteed values.
08 / SECURITY
Handling confidential information
We support non-disclosure agreements and can execute an NDA from the consultation stage.
Data location, whether it may be used for training, access rights and retention periods are clarified by contract.
Closed-network and on-premises configurations can be designed so data does not leave the environment.
Matters that may involve export control or sensitive technology are handled in accordance with laws and internal rules.
PROOF
Supported by technology, IP and partners.
Standard Link is a development company with five registered patents in image processing, monitoring systems and related fields.
Published IP
Patent status can be verified in J-PlatPat.
Technology partners
International camera, edge, drone and infrastructure relationships.
Group development structure
Research and implementation capabilities connected across the group.
Development structure: Standard Link takes on development directly, covering requirements definition through implementation and operation. Depending on project scale and domain, we assemble teams with multiple domestic development partners, and we support confidential projects and projects whose data cannot leave Japan with an entirely domestic structure.
Edge foundation: Built on the NVIDIA Jetson ecosystem, including Jetson Orin NX, with support for Intel Edge configurations.
Visual input: HOLONIC Eyes and APPRO camera modules, for which we hold exclusive distribution rights in Japan, are configured according to the application.
Generative AI: Models are selected by confidentiality, response speed, cost and operating environment rather than being fixed to a vendor. Closed-network and on-premises configurations are supported.
Group structure: We connect expertise in unmanned systems, environmental research and implementation to develop across areas that cannot be solved by software alone.
Intellectual property: Five registered patents in image processing, monitoring systems and related fields (source: J-PlatPat).
11 / FAQ
Frequently asked questions.
Can we consult on a small project?
Yes. We accept small-scale validation at the PoC level. We first use a free consultation to organize the appropriate scale.
Our data cannot leave the company. What can we do?
Closed-network and on-premises configurations are supported. Data location, training use and access rights are clarified by contract.
Can you integrate with existing systems?
Yes. We design on the premise of connecting existing business systems, cameras and sensors.
Who owns the AI that is developed?
This is defined clearly by contract. Deliverables, training data, models and existing intellectual property are organized for each project.
Can we discuss defense and security-related requirements?
We accept consultations after confirming the scope we can support. Export control and sensitive-technology handling follow laws and internal rules.
Can we engage you without training data?
Yes. We can begin with sensor selection and installation-condition design, and proceed from the data-acquisition stage. If existing camera footage cannot be used, we can include a review of the camera configuration.
Can cameras and hardware be introduced together?
Yes. We supply color night-vision cameras and can provide a configuration including edge AI equipment. Software-only engagements are also supported.
Which AI models or LLMs do you use?
Models are selected by confidentiality, response speed, cost and operating environment. We are not fixed to a particular vendor and also support closed-network and on-premises operation.
Can the system be configured without cloud services?
Yes. We can design around edge processing at the site and closed-network or on-premises deployment.
What deliverables will we receive?
They vary by project, but can include trained models, inference applications, accuracy evaluation reports and operating procedures. Deliverables and rights scope are clarified at contract.
Can you take over AI developed by another company?
Please contact us. We first organize the current configuration and issues, then design the scope of the handover.
Do we need to prepare anything before consulting?
No special preparation is required. If you can share photos or video of the site and the situation causing difficulty, we will organize the discussion points.
Can government agencies and municipalities consult with you?
Yes. We address public-sector issues such as closed-network generative AI use, night and wide-area monitoring, and infrastructure inspection. We can also provide estimates and technical documents suited to procurement systems. Please contact us first.
CONTACT
Start by telling us the problem.
We will identify the smallest useful starting point and the evidence required for the next decision.
