Intelligent Automation
Service & Solution

What is an IA Robot?

Software robots equipped with AI are called IA (Intelligent Automation) robots.
IA robots are software robots that perform tasks on behalf of humans by forcibly teaching them practical knowledge accumulated by humans through work experience using low-code.
In AI terms, they are classified as a type of reinforcement learning called [supervised learning], a type of machine learning.
IA robots learn the judgments analyzed by humans (experts and specialists) and perform tasks autonomously and automatically.

Background of our software robots

Factories have a long history of automating human tasks with robots, and most of them currently use Factory Automation (FA) robots. FA robots are made-to-order robots (dedicated machines) exclusively for customers who are introduced to the production line.
Robots are active in each process in the factory, and the "Process Flow" is realized through communication between the robots.
Similarly at our company, we has robotized each person's IT work, realized a "Process Flow" by communication between multiple robots, and has already provided it for more than 20 years over.

Our software robots are framework robots designed to automate simple to complex tasks performed by humans, and are intended to be implemented in a short period of time and at a reasonable price through low code.

Features of IA Robot + Grid Network

Our IA robots can be deployed on a grid network.
A grid network is a type of distributed network where multiple computers and devices are interconnected and work together to complete a task. This ability to deploy IA robots on a grid network provides the following benefits:

1. Scalability
The grid network allows multiple IA robots to work together and share tasks, improving the scalability of the overall system.
Processing capacity can be easily expanded by adding new IA robots.

2. Efficient resource utilization
Each IA robot is assigned a specific task to optimize resources.
This reduces energy consumption and time waste.

3. Redundancy and reliability
The grid network allows multiple IA robots to perform the same tasks, so if one IA robot fails, the whole system continues to function, improving reliability.

4. Real-time data processing
Multiple IA robots can simultaneously collect and process data, enabling real-time decision-making, allowing them to function effectively in situations where rapid response is required.

5. Collaborative Work
By sharing information and working together, multiple IA robots can carry out more complex tasks more efficiently.
This allows them to achieve results that a single IA robot could not achieve.

6. Flexibility
The grid network can integrate different types of IA robots with AI systems, allowing for flexible operation for a variety of purposes.

Thanks to these features, the IA Robot Grid Network can be used in many fields, including IT services, manufacturing, logistics, finance, medicine, and agriculture, and its introduction is expected to have a positive effect.

Features of IA Robot + Edge AI Camera

Our IA Robot is equipped with the functions of an edge AI camera.
Edge AI camera means that data processing to recognize objects is processed by the IA Robot at the edge, not the cloud.
By using machine learning to annotate data of customer-requested objects, it is possible to recognize, detect, and find objects such as people, cars, and faces.
In addition, it is possible to forcibly learn the characteristics of an object and perform visual inspection.
By placing multiple [IA Robot + Edge AI Camera] on a grid network, applications are expected.
In addition, IA Robot is also equipped with functions for generating synthetic voice and voice recognition.

Examples of IA robot use

1. Major financial institutions (securities-related: multiple companies)

By incorporating the IA Robot API when updating and developing core systems, the core systems themselves are robotized.
Before starting work, IA Robot operates the same web services as end users to confirm that the services are operating normally.
During business hours, it monitors the service to check for false alarms when a failure is detected, and performs unmanned operations when a failure occurs.
After business hours, it collects data and performs backup work.
IA Robot is designed and implemented from the start so that it performs background processing of web services that should be performed manually by an operator.

2. Major transportation company

Tasks such as checking the operation status of web services and checking and sorting application details, which were previously performed by multiple businesses, were abolished and handled by IA robots.
Several business personnel were shifted to IA robot development staff. The system has been operating stably for over several years.

3. Major data centers:IDC (multiple companies)

Operator tasks (visual inspection is automated using AI cameras, and operators check the operation status of web services) are performed by IA robots.

4. Major telecommunications carrier

The operator tasks (selection of troubleshooting steps, creation of steps, submission process) are performed by the IA Robot.

5. Government

It controls hundreds of PCs across the country and automates operator work with IA robots.

Introduction of IA robots independent of industry and business format

IA robots are being introduced to a wide variety of companies that use computers for work, regardless of industry or business type.

[Implementation track record]
Major telecommunications companies, major information system integrators, major securities companies, major transportation companies, major printing companies, major information infrastructure companies, major data centers, major food manufacturers, major mining companies, major construction companies, major auto parts manufacturers, employment support companies, publishing companies, information equipment manufacturing and sales companies, major information personnel dispatching companies, major recruitment agencies, precision equipment manufacturers, software development and sales companies, solar power generation businesses, real estate companies, etc...

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The robotization of factories has already achieved benefits such as improved productivity, quality, safety, and competitiveness, cost reduction, and reduced burden on workers.
The introduction of IA robots can be expected to have similar benefits.

Until now, system operation has been a labor-intensive operation method that gathers specialists in each field, such as operators, network engineers, database engineers, and application engineers. It is necessary to understand the unique terminology provided by many IT manufacturers (Groupware, ERP, Financial accounting software, Cloud services, Network equipment, Databases, etc.) and learn specialized operations. that is very difficult, and requires a lot of work and time. Furthermore, the system for each business type is a unique system composed of a combination of various manufacturers.

The introduction of IA robots makes it possible to easily automate system operations, from dedicated screen operations (UI), which were difficult until now, to the judgment of specialist engineers and the automation of coordinated operations. As a result, by introducing an IA robot developed exclusively for the customer by the operator, it is possible to realize a knowledge-intensive solution that allows the system to be operated on behalf of a specialist engineer.

Operational methods that do not rely on human resources are expected to reduce various risks, costs, and lead times incurred at conventional operational sites.

Risk reduction effects visiblein the basic flow of operational design