prediction Product List and Ranking from 19 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

prediction Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. シスメット 本社/福岡県北九州市　・東日本オフィス/埼玉県入間市　・北日本オフィス/北海道札幌市 Fukuoka//Information and Communications
  2. ソホビービー Tokyo//others
  3. Haloworld株式会社／カンテック株式会社 Tokyo//others
  4. 4 パトコア Tokyo//Information and Communications
  5. 5 電力テクノシステムズ Kanagawa//Electricity, Gas and Water Industry
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prediction Product ranking

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. Compass PLUS: Pinpoint forecasting of Japan's coastal waters with a 1km mesh. シスメット 本社/福岡県北九州市　・東日本オフィス/埼玉県入間市　・北日本オフィス/北海道札幌市
  2. Achieving Maximum Profit! Operating Forecast for New Pachinko Machines Utilizing AI ソホビービー
  3. Predicting river flooding by combining cellular LPWA and LiDAR. Haloworld株式会社／カンテック株式会社
  4. 4 1H and 13C NMR Spectrum Prediction 'NMR' パトコア
  5. 4 Wind tunnel experiments: Atmospheric dispersion prediction methods for environmental assessment using environmental impact assessment methods. 電力テクノシステムズ

prediction Product List

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pKa prediction, molecular species prediction, isoelectric point prediction 'Protonation'

pKa prediction, molecular species prediction, isoelectric point prediction 'Protonation'

Calculate the pKa of groups that can be ionized! It can also be used for proteins and other substances.

Our company offers "Protonation Groups" suitable for predictions such as pKa (acid-base dissociation constant). We have a lineup that includes the high-precision pKa calculation program "pKa," the "Microspecies" program for predicting major structures at specific pH levels, and the "Isoelectric Point" program for calculating isoelectric points. 【Lineup】 ■ pKa: High-precision pKa calculation program ■ Microspecies: Predicts major structures at specific pH levels ■ Isoelectric Point: Calculates isoelectric points *For more details, please refer to the PDF materials or feel free to contact us.

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LogP prediction, LogD prediction 'Partitioning'

LogP prediction, LogD prediction 'Partitioning'

Predictions will be made based on the improved methods of Viswanadhan for both logP and logD!

The "Partitioning Group" can predict the pH-dependent logD values in addition to the water/octanol partition coefficient. Predictions are based on the improved methods of Viswanadhan et al. for both logP and logD. The modifications applied include the redefinition of selected atom types (especially sulfur, carbon, nitrogen, and metal atoms) to adjust for electronic delocalization and consideration of ionization forms. 【Features】 ■ Predicts pH-dependent logD values in addition to the water/octanol partition coefficient ■ Predictions are based on the improved methods of Viswanadhan et al. for both logP and logD ■ The logP value of zwitterions is calculated from logD at the isoelectric point ■ Just as logD values are pH-dependent, logD calculations rely on the method for predicting pKa *For more details, please refer to the PDF document or feel free to contact us.

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1H and 13C NMR Spectrum Prediction 'NMR'

1H and 13C NMR Spectrum Prediction 'NMR'

Predict the 1H and 13C NMR spectra of organic compounds!

The prediction of NMR spectra plays an important role in the validation of structures and the description of molecules. The "NMR Group" predicts 1H and 13C NMR spectra for organic compounds. 【Features】 ■ The prediction of NMR spectra plays an important role in the validation of structures and the description of molecules. ■ Predicts 1H and 13C NMR spectra for organic compounds. *For more details, please refer to the PDF document or feel free to contact us.

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Wind tunnel experiments: Atmospheric dispersion prediction methods for environmental assessment using environmental impact assessment methods.

Wind tunnel experiments: Atmospheric dispersion prediction methods for environmental assessment using environmental impact assessment methods.

It can be utilized for various environmental impact assessments, including environmental assessments of power plants such as thermal and geothermal, decentralized power sources, and the diffusion of heat and exhaust gases from heat islands.

Wind tunnel experiments and environmental assessments refer to one of the atmospheric dispersion prediction methods established by the Environmental Impact Assessment Act. This involves placing models of terrain and structures inside a wind tunnel to recreate air flow and conduct experiments to predict the dispersion of exhaust gases released from power plants and waste incineration facilities (cleaning plants). This method is described in the "Guidelines for Environmental Impact Assessment Related to Power Plants," which serves as a guideline for implementing environmental assessments issued by the Ministry of Economy, Trade and Industry. By precisely controlling the temperature and flow velocity of the airflow within the wind tunnel, it is possible to replicate the actual atmospheric flow conditions and measure the behavior of gases and the concentration of smoke dispersion. **Applications** - Airflow analysis and dispersion analysis for various power plants, including thermal, nuclear, and geothermal. - Atmospheric environmental impact assessments in urban areas (such as decentralized power sources and urban warming effects). - Dispersion conditions of exhaust gases released from incineration facilities (cleaning plants). - Visualization experiments of flow fields around modeled buildings. **Features** - Precise reproduction of "temperature distribution, airflow distribution, and airflow turbulence" in the atmosphere. - Visualization of flow fields using smoke and lasers. - Capability to address complex structures that are difficult to replicate in simulations. *Please feel free to contact us through our company website.*

  • Environmental Survey

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[Information] How on-site personnel can start AI demand forecasting.

[Information] How on-site personnel can start AI demand forecasting.

Practical application of highly accurate AI to achieve reductions in waste loss, stock shortages, storage costs, and optimization of personnel.

The use of "AI" as a means for demand forecasting is increasing. However, it is often perceived that utilizing this "AI" is not easy at all. In this document, we introduce "methods and examples of building highly accurate and automated AI using AI" for "practical personnel and planning departments in manufacturing, retail, and distribution industries who feel challenges with the accuracy, workload, and reliance on individuals in demand forecasting." We have summarized the content in a way that is easy to understand even for those without AI knowledge, and we hope that after reading this document, you will be able to actually utilize it as a method for demand forecasting. [Contents (partial)] ■ Understanding demand forecasting with AI ■ How to create demand forecasting AI ■ Current status and key points of AI utilization (Appendix) *For more details, please refer to the PDF document or feel free to contact us.

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Simulation of a massive tsunami and damage prediction expected to occur due to a massive earthquake.

Simulation of a massive tsunami and damage prediction expected to occur due to a massive earthquake.

It is possible to estimate damage and consider countermeasures! An analytical method that can reproduce the behavior of bridges when affected by tsunamis.

Our company has developed an analytical method to reproduce the behavior of bridges when subjected to tsunami effects by applying insights gained from reproduction experiments using a scaled bridge model during tsunami actions, conducting wide-area tsunami propagation analysis (2D tsunami analysis), and 3D tsunami analysis that includes the seabed, topography, and structures. It will be possible to simulate tsunamis caused by anticipated massive earthquakes in the future and utilize this for disaster prevention studies of infrastructure, including bridges. So far, we have conducted reproduction calculations of previous hydraulic experiments targeting bridge superstructures and tsunami reproduction analyses focused on thermal power plants affected by the tsunami from the Great East Japan Earthquake. By comparing the experimental results and actual damage situations, we are verifying the applicability of numerical fluid analysis for evaluating tsunami wave forces acting on various structures. **Features** - Application of insights gained from reproduction experiments using a scaled bridge model during tsunami actions - Ability to estimate damage and consider countermeasures - Useful for disaster prevention studies of infrastructure, including bridges *For more details, please refer to the PDF document or feel free to contact us.*

  • Analysis and prediction system
  • Scientific Calculation and Simulation Software

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Forecast of solar power installation in the Japanese market towards 2030.

Forecast of solar power installation in the Japanese market towards 2030.

Forecast of Solar Power Installation in the Japanese Market Towards 2030 (2022 Edition)

Since the "2050 Carbon Neutral Declaration" in October 2020, Japan's energy policy has significantly shifted towards decarbonization, with a major focus on making renewable energy the primary power source. There have been substantial waves of change in both policy and market, marking the beginning of a new phase leading up to 2030. In this context, this report assumes two scenarios: the "Current Growth Case," which envisions achieving the 'ambitious level' of targets, and the "Acceleration Case," which anticipates a significant improvement and advancement in the introduction environment. For these two assumed cases, we have projected the installation volume of solar power generation towards 2030, considering scenarios for price forecasts, changes in social environments, market changes, and technological advancements, segmented by application, scale, and region. We hope this report will be utilized to promote further expansion of solar power systems while overcoming various challenges, alongside healthy market competition.

  • Solar power generation

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[Blog] December 2021: What We Predict

[Blog] December 2021: What We Predict

Insights into the future of observability and digital experience monitoring! Introducing Catchpoint news.

In December, AWS experienced an unprecedented situation with three outages in three weeks. Catchpoint conducted an incident review that delved into the details of these three outages and their commercial impact. - Major online services, including Amazon, crashed due to AWS outages. - Another AWS outage occurred this week. - The third AWS outage in December – adding insult to injury. At the same time, we released a series of forward-looking insights on trends in observability and digital experience monitoring, acting as newsmakers and prophets. [Overview] - Trends and developments in top networks 2022 - 2022 Application Performance Management Predictions - Part 1 - 2022 Application Performance Management Predictions - Part 2 - Catchpoint 2022 Predictions: Total Experience Orchestration - During Cyber 5, dozens of retailers faced website outages and slowdowns. *For more details on the blog content, please refer to the related links. Feel free to contact us for more information.

  • Access analysis tools
  • others

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What is sales forecasting?

What is sales forecasting?

Overview of sales forecasts, examples of how to create sales forecasts, etc.! A column explaining with a focus on sales forecasts for sales organizations.

In companies and organizations operated for profit, it goes without saying that "sales" significantly influence the management situation. In this article, I would like to reflect on the forecasts related to sales. Please note that this article is not a general explanation for financial professionals, but rather focuses on sales forecasting within sales organizations. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.

  • CRM (Customer Relationship Management System)
  • SFA (Sales Support System)

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Achieving Maximum Profit! Operating Forecast for New Pachinko Machines Utilizing AI

Achieving Maximum Profit! Operating Forecast for New Pachinko Machines Utilizing AI

You can understand future situations from past data! Prediction of pachinko machine outcomes.

In the pachinko industry, customer attrition is accelerating due to structural challenges (such as the removal of high-risk machines, measures against gambling addiction, and the ban on smoking in stores) and the impact of the COVID-19 pandemic, in addition to the digital shift. The industry has reached the limits of management based on experience and requires a new approach. Specific initiatives: 1. Extracting data that has a high correlation with operational data based on the provided data. 2. Predicting the performance of new machines before their introduction based on national data and machine-specific specification data (evaluating appropriate purchase machines). 3. Forecasting the performance of machines for two weeks based on two days of operational data from new machine sales (understanding the appropriate number of machines to install). After implementation, the error in the operational forecast for new machines over three days, which was previously as high as 30% even for veterans, improved to just about 10%. This has achieved a method that does not rely on human labor and can also contribute to appropriate investment decisions. *For more details, please refer to the PDF document or feel free to contact us.

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