Our Business
Services
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Research Paper Implementation
Implement specified research papers as software.
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Algorithm Implementation
Make modules or APIs of specified algorithms as you request.
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Research Software Development
Create software for academic research. We can also speed up existing software or add functionalities to existing software.
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In-House Development & Technology Transfer
We support in-house development and technology transfer in research and development through a multifaceted, hands-on approach.
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Consigned Research Services
We can execute parts of your research, including surveying papers, developing necessary systems, validation, and preparing reports.
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Information Security Consulting
We provide consulting on cyber resilience (strengthening information security) for research sites.
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Large Language Models / AI Agents
Build and operate AI agent systems that accelerate R&D, and develop practical applications of large language models.
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Optimization Software Development
Develop optimization software to find optimal solutions to problems with various constraints.
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Automated Analysis
Using RPA (Robotic Process Automation), build systems for efficient analysis.
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Omics Analysis
We provide multifaceted support for leveraging omics data through research tool development and the introduction of machine learning-based analysis methods.
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Food Science Software Development
Supports a wide range of food processing stages from experimental design to analysis of results.
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Neuroscience Software Development
Develop software tailored to the needs of each individual researcher in the field of neuroscience.
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Geophysical Exploration and Nondestructive Testing
Develop software for signal processing of measurement data, simulation, and data assimilation.
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Quantum Beam Research Software Development
Develop specialized software to implement and accelerate the algorithms used in quantum beam research.
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Ecological Research Software Development
Develop specialized software to fully leverage valuable data gathered from field surveys and laboratory experiments.
Business Cases
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Mathematical Optimization of Redundant Manipulator Inverse Kinematics
This software development is for solving the inverse kinematics of redundant manipulators. We have derived analytical solutions using a mathematical processing system and calculated practical solutions by means of mathematical optimization.
In the inverse kinematics of redundant systems, there are countless analytical solutions, of which only a few are valid for practical use. Therefore, mathematical optimization is performed to select a solution that fits practical use from among analytical solutions with degrees of freedom. Also, although inverse kinematics theoretically yields an analytical solution, it involves the computation of an inverse matrix, and as the number of joints increases, the solution equation expands to a huge number of terms. If it is implemented as it is, it is not expected that a solution can be obtained within a practical time frame. By combining analytical solution and mathematical optimization, we developed an algorithm to obtain a solution at high speed and implemented it in software.
For the implementation of mathematical optimization, we implemented and compared several algorithms, including the conjugate gradient method, and selected the best algorithm with a good balance between accuracy and speed.
- Technologies
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- Redundant Inverse Kinematics
- Mathematical Processing System
- Mathematical Optimization
- C++
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Experimental condition optimization program using Bayesian optimization - development
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- Bayesian Optimization
- RPA (Robotic Process Automation)
- Sequential Experimental Design
- Python
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BMI framework - development
We have developed a brain-machine interface (BMI) framework that detects targeted brain activity from brain signals such as electroencephalogram (EEG) in real time and outputs feedback signals to operate external devices.
Since real-time performance is important for BMI, a C++ multi-threading mechanism was used to minimize the delay time to feedback. The framework is designed to be flexible enough to incorporate MATLAB or Python scripts which implemented the algorithms for brain signal preprocessing and brain activity detection, depending on the experiment. The BMI also uses the lab streaming layer communication technology to provide multimodal input from multiple devices (e.g., eye-tracking devices) in addition to brain signals.
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- Brain-machine interface (BMI)
- Electroencephalogram (EEG)
- C++
- MATLAB
- Python
- Lab streaming layer (LSL)
Engineers
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NAKATA Shota - [Expertise]
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- Microbiology
- Molecular Biology
- Bioinformatics
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- I have conducted research in the fields of microbiology and molecular biology, such as metabolic modifications of microorganisms by genetic recombination and analysis of microbial ecosystems. I would be happy to apply my extensive experimental expertise to develop software and suggest analytical techniques appropriate to your research.
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OTAKE Ryoga - [Expertise]
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- Image Analysis
- Machine Learning
- Behavioral Ecology
- Statistical Analysis
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I have conducted decision-making and collective behavior research with non-model organisms such as termites and bean beetles.
I am glad to work with you solving various research issues with the analytical skills I developed in experimental research, such as development of experimental systems, image analysis and animal tracking technology.
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MISAWA Ryota - [Expertise]
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- Computational Mechanics
- Computational Electromagnetics
- Structual Optimization
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I have been studying accurate, stable and fast formulations of boundary element method, its related eigenvalue solver in conjunction with the Sakurai-Sugiura ( contour integral ) method, as well as topology and shape optimization problems.
I am thus fluent in numerical solvers and their application to structual optimizations in computational mechanics and computational electromagnetics. I hope to apply my knowledge and experience with numerical methods to support customers' research and developments.
Products
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SparseTaroSparse Structure Estimation Software
Visualize correlations by high-speed partial correlation analysis with sparse structure estimation. This is useful for connectome analysis in the field of neuroscience.
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StackTaro3D Image Analysis Software
Analyzes image stacks and performs automatic counting and visualization. This is useful for analysis of confocal microscope images, etc.
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SpikeTaroSpike Sorting Software
Separates and clusters spike signals from aggregate potentials of neural signals. Dramatically improves the efficiency of neurophysiology research!
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ABDigitizerVideo Analysis Software for Behavioral Experiments
Automatically extracts location information from video footage of behavioral experiments and easily creates trajectory graphs and heat maps. No more manual work!
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NGS Metagenomics AOIMetagenome Analysis Software
Ultra-fast metagenome analysis compatible with next-generation sequencers. Rich visual functions are powerful for microbiological research and other applications! (Scheduled for release)
News
- 2026/06/08
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We are sponsoring the 2nd Conference of the Society for Systems Ethology, which will be held from July 11 (Sat) to July 13 (Mon) at Nagoya University. We will also exhibit at the corporate booth area.
- 2025/12/01
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Our researcher presented at the Japanese Society of Food Engineering's Food New Technology Study Group.
- 2025/12/01
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We exhibited at the 42nd Annual Meeting of the Japan Society of Plasma and Fusion.
Contact Us
If you have any inquiry
about our company, please contact us.
(Phone hours: 10:00 - 17:00, Japan Standard Time)
+81-75-321-7300