Trained deep learning models can be used on various edge devices!
Supporting material research and development through high-speed molecular simulations! Here is an overview of our products.
The system construction cost is about 1/10 of what was expected. Achieved with the no-code data integration tool "ASTERIA Warp Core"!
Analyze voice, text, emotions, and expressions with AI to solve problems! 17 actual use cases in manufacturing, healthcare, sports, and more [Offering a collection of problem-solving examples].
Automate sending tasks with FAX server integration. Achieved with the no-code data integration tool "ASTERIA Warp Core"!
Implementation is possible within the department's budget! Achieved with the no-code data integration tool "ASTERIA Warp Core"!
Case study of cost reduction exceeding 1.5 million yen per month. Achieved with the no-code data integration tool "ASTERIA Warp Core"!
Automate the data upload process to the cloud DWH end-to-end! Achieved with a no-code data integration tool.
Streamline internal operations and reduce overtime quickly and without coding. Achieve this with a no-code data integration tool!
Achieve a more robust security environment by isolating workspaces and network segments with a no-code data integration tool!
Automated the end-of-month and beginning-of-month tasks that were previously done manually, significantly reducing work time and preventing errors. Achieved this with a no-code data integration tool!
No more wasting time on simple tasks like order placement and receipt! Achieve this with the no-code data integration tool "ASTERIA Warp"!
Ensuring convenience for on-site operations! The necessary systems are built in-house, significantly reducing costs and development time. Achieved with a no-code data integration tool!
AI automates tasks such as "automatic identification of documents (images)" and "digitization of text and numerical data"!
Support for property prediction, analysis, and design based on molecular structure and nanoscale structure through large-scale statistical analysis of experimental data and high-precision nanoscale simulations.
Leading companies in various industries, such as Panasonic, Bridgestone, Canon, Samsung, and L'Oréal, have adopted it.
Reduction in the number of GPUs! It will be possible to train large networks without increasing the required number of GPUs!






































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