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AI system development-Introduction of 9 system development companies!

AI system

Some readers of this article may be thinking, ” I want to develop an AI system” or “I want to outsource the development of an AI system.”

In recent years, AI-based systems have spread widely throughout the world and have become an indispensable part of our lives. For example, many people use automatic translation services, smart speakers, face recognition systems, etc. on a daily basis.

There are many people who are thinking about developing and introducing such systems using AI, but there must be those who are worried about “I don’t know where to start” or “I don’t know which company to outsource to.” .

Therefore, in this article, we will explain in detail the “use cases”, “development process”, and “development company selection points” of AI systems.

At the end of the article, we also introduce 9 system development companies with extensive experience in developing AI systems, so please read it.

Table of Contents

  • What can be achieved by developing an AI system
  • Introduction of AI system utilization cases
    • IT/Communication | Energy efficiency optimization support by hEMS device control
    • Retail/Wholesale | Optimal demand forecasting and allocation of production plants for food manufacturers
    • Medical/Welfare|Building an advertising effect prediction model using AI (machine learning)
    • Construction industry|Detection of deterioration of river concrete embankments
    • Logistics | Improving operational efficiency by optimizing vehicle allocation plans
  • Process of developing an AI system
    • configuration phase
    • PoC phase
    • Implementation phase
    • Operation phase
  • There are two main ways companies can promote the development of AI systems
    • Develop in-house
    • Outsource development
  • Four points for selecting an AI system development company
    • Clarify objectives and issues
    • Understand and compare the flow of development and the cost of each process
    • Possessing achievements and know-how in the areas we want to develop
    • Have an operational image after introducing AI
  • 9 system development companies with extensive experience in AI system development
    • ALBERT Co., Ltd.
    • GIB JAPAN Co., Ltd.
    • Prime Style Co., Ltd.
    • Archaic Inc.           
    • Tokai Soft Co., Ltd.
    • Laboro.AI Co., Ltd.
    • Araya Co., Ltd.
    • Roboken Co., Ltd.
    • Headwaters Co., Ltd.
  • At the end

What can be achieved by developing an AI system

AI system refers to a mechanism that can be realized by utilizing AI.

With the introduction of AI systems, various things such as image analysis and more efficient logistics will become possible.

For example, it automatically sets the power consumption of home appliances to the minimum.

If you can develop an AI system, you will be able to reduce costs and improve business efficiency.

Introduction of AI system utilization cases

From here, we will introduce how the development of AI systems is specifically used. Here are five examples:

  1. IT/Communication | Energy efficiency optimization support by hEMS device control
  2. Retail/Wholesale | Optimal demand forecasting and allocation of production plants for food manufacturers
  3. Medical/Welfare|Building an advertising effect prediction model using AI (machine learning)
  4. Construction industry|Detection of deterioration of river concrete embankments
  5. Logistics | Improving operational efficiency by optimizing vehicle allocation plans

I will explain each.

IT/Communication | Energy efficiency optimization support by hEMS device control

This AI system predicts power consumption based on the energy consumption trends of each house and weather information.

Then, it becomes possible to create an algorithm that optimizes the control of HEMS devices.

By introducing this system, it will be possible to significantly reduce the cost of electricity consumption in the home.

Retail/Wholesale | Optimal demand forecasting and allocation of production plants for food manufacturers

This AI system predicts demand from past production and consumption volumes of products.

Then, based on the predicted demand, it calculates which factory is the best and how much to produce.

By introducing this system, it has become possible to significantly reduce production and distribution costs.

Medical/Welfare|Building an advertising effect prediction model using AI (machine learning)

This AI system digitizes the records of sales activities such as seminars and exhibitions, and also digitizes the data of doctors who are customers and the actual sales to each doctor.

Then, it predicts what kind of sales performance will be obtained by what kind of approach to what kind of doctor.

By introducing this system, it became possible to improve the efficiency of sales to each doctor.

Construction industry|Detection of deterioration of river concrete embankments

This AI system was developed by preparing a large number of images of concrete revetments with and without cracks and performing deep learning.

By introducing this system, technicians can visually inspect and check for cracks with impeccable accuracy.

As a result, we were able to significantly reduce the number of man-hours required on-site.

Logistics | Improving operational efficiency by optimizing vehicle allocation plans

This AI system designs a computational model that can optimize vehicle dispatch plans according to a wide variety of requirements.

Based on the designed calculation model, vehicle allocation planning is automatically performed.

By introducing this system, it is possible to significantly reduce the cost of arranging vehicle dispatches and reduce the man-hours of each person in charge.

Process of developing an AI system

From now on, I will introduce the process of developing an AI system.

The process phase is divided into four phases:

  1. configuration phase
  2. PoC phase
  3. implementation phase
  4. operation phase

configuration phase

The composition phase is the phase of deliberating the necessity of introducing AI. In the configuration phase, we start by identifying the business issues for introducing AI. After completing most of the assignments, analyze how the assignments should be improved.

Based on the results, we will decide the order of priority to be solved.

At this point, you might think you’re done with this phase, but there’s something to remember . That is the debate about whether AI should be introduced.

The reason for doing this work is that the purpose is not to introduce AI but to improve business operations. If it is a problem that can be solved without AI, the introduction of AI will be wasted.

In this phase, you can check the significance of introducing AI.

PoC phase

The PoC (Proof of Concept) phase is a trial run phase before introduction.

As a work flow, we build a test environment according to the designed content and evaluate the AI ​​system.

There are three basic types of evaluation:

  • Practicality

Practicality is whether or not the expected effect is obtained by introducing the AI ​​system. The practicality is evaluated to see if there is enough need to implement it.

  • Cost-effectiveness

Cost-effectiveness is the effect obtained from the cost of introducing and operating an AI system.

The reason for evaluating cost-effectiveness is that it is necessary to check whether the introduction cost is calculated to be a loss or gain.

  • Concreteness

Concreteness refers to what kind of concrete results will be obtained after the introduction of the AI ​​system.

The reason for evaluating specificity is that it is necessary to check in detail whether the desired result is achieved.

After the evaluation, let’s decide whether to introduce an AI system based on the results, and identify the necessary improvements.

Also, as a point to note when doing PoC, as much as possible, you should proceed with the person in charge of the site who will actually use the system. If only people with little contact with the site proceed with the PoC,

This is because there is a risk that the people who wanted to introduce an AI system will end up with a system that is different from what they thought.

After introducing the AI ​​system, in order to achieve the desired effect, let’s implement PoC including the staff in charge at the site as much as possible.

Implementation phase

The implementation phase is the phase of implementing the AI ​​system.

As for the work flow, after the detailed design is done, the coding is done. Then test and fix bugs.

Once that is done, we will implement the implementation for production.

During the implementation phase, of course, the implementation is complete.

Therefore, it is important to do this after obtaining sufficient results from the PoC phase.

Be careful not to rush to implement it.

Operation phase

The operation phase is the phase where you continue to monitor whether you are getting the results you expected in the configuration phase after the deployment.

As a work flow, long-term monitoring of the results after introduction is performed.

Basically, there are two items that should be monitored.

  • Long lasting effect

Long-term effects are the actual effects seen from the long-term implementation of AI systems. The reason for monitoring long-term effects is that the PoC phase may have unanticipated effects .

  • Improvements

Improvement points are the areas to be improved that can be seen after the introduction of the AI ​​system.

The reason for monitoring improvements is that during the PoC phase, implementation verification is only done over a short span .

This is because monitoring is done over a long period of time, so there is a high .

Monitoring is the only way to know if you need to introduce an AI system, so be sure to continue.

There are two main ways companies can promote the development of AI systems

There are two ways to develop AI systems: in-house development and outsourcing development.

From here, in order to make it easier to understand the difference between “in- house development ” and ” development outsourcing “, we will introduce the advantages and disadvantages of each.

Develop in-house

Depending on the size of the company and the content to be introduced, the method of developing in-house is sufficiently effective.

Recently, various development environments such as open source have been established, and books have been enriched, so it is not out of reach.

However, I do not recommend it for those who have too little knowledge of AI, such as programming.

The advantage of developing an AI system in-house is that there is no cost for outsourcing, so there is a high possibility that the cost will be low.

In addition, since the developers are in-house, it is easy to communicate between the planning and the developers. For the same reason, there are many advantages, such as flexibility and control over development.

On the other hand, it is a disadvantage that it is difficult to produce the same quality as when outsourcing development to other companies.

Outsource development

Outsourcing development is a method of having a company or individual develop an AI system on your behalf.

Compared to the past, there are more companies that can outsource, so while the number of options has increased, it goes without saying that we must carefully consider who we place orders with.

Conversely, if you can think about it properly, you can keep costs down and achieve very good development.

The advantage of outsourcing the AI ​​system to another company is that it is in the form of requesting development to a company that specializes in AI development . You can get support to develop more precisely and flexibly for

On the other hand, most of the people outsourced are probably unfamiliar with AI system development. In that case, I think it will be in the form of having the whole process of system development done.

Inevitably, there is a disadvantage that the AI ​​system development cost is high.

Four points for selecting an AI system development company

If you are going to outsource, you need to consider the company firmly and select it.

Therefore, here we will introduce four important points when selecting an AI system development company.

  • Clarify objectives and issues
  • Understand and compare the flow of development and the cost of each process
  • Possessing achievements and know-how in the areas we want to develop
  • Have an image after introducing AI

Clarify objectives and issues

Clarifying the purpose means firmly confirming what purpose and issue the AI ​​system will be introduced for.

These must be done before choosing a company.

Introducing an AI system is just one way to improve business issues and achieve goals.

This is a very important task to prevent the introduction of the AI ​​system for the purpose, so let’s do it properly.

Understand and compare the flow of development and the cost of each process

In this work, we will grasp the development flow of the AI ​​system. Then find out how much each step will cost.

The introduction of an AI system does not incur costs for all work, but costs for each development process.

Therefore, we must be careful not to include processes that can be done in-house.

When installing, be careful to avoid unnecessary costs.

Possessing achievements and know-how in the areas we want to develop

In this work, the company’s development area, track record, and know-how are confirmed.

There are many companies that are introducing AI systems.

Each company has its own characteristics.

It is very important to be aware of the characteristics of the company.

Have an operational image after introducing AI

In this work, we will have an image of the operation after introducing AI.

Operation after introduction is the task of confirming the necessity of the AI ​​system.

If you don’t do this, you won’t know the real effect of what you’ve introduced.

Therefore, it is necessary to check whether the post-installation support matches what you are looking for. Let’s do it firmly.

9 system development companies with extensive experience in AI system development

Earlier, I mentioned that “abundance of development achievements” is important when deciding on a contractor for an AI system company.

Therefore, from here, we will introduce system development companies that have a wealth of experience in developing AI systems. Here are the 9 companies we are introducing.

  1. ALBERT Co., Ltd.
  2. GIB JAPAN Co., Ltd.
  3. Prime Style Co., Ltd.
  4. Archaic Inc.
  5. Tokai Soft Co., Ltd.
  6. Laboro.AI Co., Ltd.
  7. Araya Co., Ltd.
  8. Roboken Co., Ltd.
  9. Headwaters Co., Ltd.

We will explain the characteristics and development areas of each.

ALBERT Co., Ltd.

ALBERT Co., Ltd.

ALBERT Co., Ltd. is a data solutions business in the area of ​​big data analytics (the process of detecting, interpreting, and communicating important patterns in data).

This company uses analytics technology to run a variety of businesses.

In addition, from the perspective of the shortage of data scientists, we also support the training of data scientists.

Overview and achievements of ALBERT Co., Ltd.

location Shinjuku Front Tower 15F, 2-21-1 Kita-Shinjuku, Shinjuku-ku, Tokyo
Established Year 2005
Business content Data analysis, AI algorithm construction, system development
Main achievements System development projects from major companies
region Data analysis, AI algorithm construction, system development service

GIB JAPAN Co., Ltd.

GIB Japan Co., Ltd.

GIB JAPAN Co., Ltd. is a company that not only has high skills, but also takes measures to send them to customers after acquiring education to improve business etiquette and communication skills.

Therefore, the company’s strength lies in the high quality of its dispatched employees.

Overview and achievements of GIB JAPAN Co., Ltd.

location 1-15-18 Miyuki Building 203, Okubo, Shinjuku-ku, Tokyo
Established 2003
Business content Machine learning system development using Python, system development using Laravel + Vuejs + AWS
Main achievements AI system development, web system development projects
region AI system/web system development service

Prime Style Co., Ltd.

TOPICS - Prime Group

Prime Style Co., Ltd. is a company that mainly supports corporate DX projects.

One of the policies of this company, in supporting the DX project, is that it is very attractive that the purpose is to enable the customer company to perform data-driven management sustainably.

Overview and achievements of Prime Style Co., Ltd.

location 5131 Tsurumaki-cho, Waseda, Shinjuku-ku, Tokyo
Established 2004
Business content DX project support
Main achievements DX project support case
region DX project support service

Archaic Inc.           

Archaic

Archaic Co., Ltd. is a company that develops custom-made AI systems from scratch (developing completely new ones without using existing ones) according to customer requests.

Overview and Achievements of Archaic Inc.

location Harajuku Trinity Building 6F, 3-23-3 Jingumae, Shibuya-ku, Tokyo
Established 2017
Business content AI development and consulting
Main achievements System development projects from major companies
region AI development and consulting services

Tokai Soft Co., Ltd.

Tokai Soft Co., Ltd. is a company that builds total AI systems.

It is very attractive that if you request a service from this company, they will provide a one-stop solution (a service that allows you to complete all the necessary work in a single procedure) .

Overview and achievements of Tokai Soft Co., Ltd.

location 2-16-1 Noritake, Nakamura-ku, Nagoya City, Aichi Prefecture
Established 1970
Business content Total construction of AI system
Main achievements System development projects from major companies
region Ai system total construction service

Laboro.AI Co., Ltd.

Laboro.AI

Laboro.AI Co., Ltd. is a company that provides made-to-order AI solutions, so-called “custom AI”.

Laboro.AI Co., Ltd. overview and achievements

location 8-11-1 Ginza, Chuo-ku, Tokyo GINZA GS BLD.2 3F
Established 2016
Business content Solution development business using artificial intelligence technology, consulting business related to utilization of artificial intelligence
Main achievements System development projects from major companies
region Solution development business using artificial intelligence technology, consulting business service related to utilization of artificial intelligence

Araya Co., Ltd.

Araya Co., Ltd.          

Araya Co., Ltd. is a company that started with brain research and analysis of brain images.

This company has three major strengths: pursuing cutting-edge AI technology, staying close to customers’ issues, and a wealth of achievements in business introduction and research and development support.

Overview and performance of Araya Co., Ltd.

location Ark Mori Building 24F, 1-12-32 Akasaka, Minato-ku, Tokyo
Established 2013
Business content AI algorithm and product development
Main achievements System development projects from major companies
region AI Algorithm and Product Development Service

Roboken Co., Ltd.

         

Roboken Co., Ltd. is a company that provides services such as SES business, web business, and SaaS business.

Roboken Co., Ltd. overview and achievements

location Kato Sanshu 6th Building, 3-10-6 Higashi-Ikebukuro, Toshima-ku, Tokyo
Established 2021
Business content SES business, web business, SaaS business, etc.
Main achievements System development projects from various companies
region Services such as SES business, web business, SaaS business, etc.

Headwaters Co., Ltd.

HWS logo

(Source: https://www.headwaters.co.jp/)

A company that provides services such as AI solution services and digital transformation services.

This company has a basic philosophy of producing new types of engineers in modern Japan who develop and promote businesses by making full use of advanced IT knowledge.

Overview and achievements of Headwaters Co., Ltd.

location Shinjuku Island Tower 4F, 6-5-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo
Established Year 2005
Business content AI solution service, digital transformation service, etc.
Main achievements System development projects from various companies
region Services such as AI solution services and digital transformation services

At the end

If you read the article, I think you have understood that AI system development is one means of improving operations and achieving goals.

At the same time, I think you also understood that the whole process includes monitoring after the system is installed.

Introducing an AI system has many benefits, such as cost reduction and operational efficiency.

If you read this article and are interested in introducing an AI system, let’s try to introduce an AI system.

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