Highreso Co., Ltd. and APTO Co., Ltd. Co-host a Webinar on "The Success Equation for LLM Data Development" to Support Physical AI
Key facts
- Highreso Co., Ltd. and APTO Co., Ltd. Co-host a Webinar on "The Success Equation for LLM Data Development" to Support Physical AI
- Highreso Co., Ltd., which operates the GPU cloud service "GPUSOROBAN," will co-host a webinar with APTO Co., Ltd. on "The Success Equation for LLM Data Development," providing practical insights for AI developers.
- Source: PR Times
- Date: April 1, 2026
Direct answer
Highreso Co., Ltd., which operates the GPU cloud service "GPUSOROBAN," will co-host a webinar with APTO Co., Ltd. on "The Success Equation for LLM Data Development," providing practical insights for AI developers.
- Citation
- Highreso Co., Ltd. and APTO Co., Ltd. Co-host a Webinar on "The Success Equation for LLM Data Development" to Support Physical AI (April 1, 2026), PR Times
- Source
- PR Times
- Date
- April 1, 2026
Highreso Co., Ltd., which operates the GPU cloud service "GPUSOROBAN," will co-host a webinar with APTO Co., Ltd. on "The Success Equation for LLM Data Development," providing practical insights for AI developers.
📋 Article Processing Timeline
- 📰 Published: April 1, 2026 at 19:01
- 🤖 AI Analyzed: June 2, 2026 at 12:57 (1481h 56m after Published)
Highreso Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo; Representative Director: Yoshiyuki Shikura; hereinafter "the Company"), which operates the GPU cloud service "GPUSOROBAN," will co-host a webinar with APTO Co., Ltd. on the theme of "The Success Equation for LLM Data Development."

Webinar Overview
This webinar will significantly influence the success of LLM development. From the premise of social implementation, which is LLM safety design, to the concept of high-quality data that determines performance, and further to the potential for expansion into Physical AI, this seminar will organize these topics.
Furthermore, it will explain the requirements for the "computing infrastructure" indispensable for putting these design philosophies into practice, and share design perspectives for GPU environments that balance development speed and cost optimization.
・Date: Thursday, April 23, 2026, 14:00-15:00 JST
・Viewing Method: Online (Zoom)
・Capacity: 1000 participants
・Participation Fee: Free
・Application here: https://soroban.highreso.jp/423webinar
Target Audience for the Webinar
・Those who want to systematically understand LLM safety design and the concept of high-quality data
・Those working to improve LLM accuracy in fields such as medicine, instruction following, and mathematics
・Those who want to grasp the necessary dataset design for Physical AI and the latest domestic and international trends
・Those interested in designing and optimizing the cost of GPU infrastructure to accelerate AI development
Speakers
・Yoichi Kano, APTO Co., Ltd.
After working at a general publishing company and a cybersecurity company, he joined APTO in 2022 and assumed his current position in 2024. He continues to support companies in solving AI challenges by starting with data. Currently, in addition to overseeing business and corporate sides, he actively develops and publishes research data with domestic and international research institutes, universities, and operating companies.
・Takuya Omi, APTO Co., Ltd.
While enrolled in graduate school, he was involved in planning news media, engaged in business efficiency improvement using natural language processing libraries, AI system development, and product improvement direction based on user behavior data. Subsequently, as a UX/UI designer for a video streaming service, he was responsible for user experience design and data-driven problem analysis.
Currently, as a project manager overseeing service planning and development utilizing AI, he is designing and promoting new products applying natural language processing (NLP) and large language models (LLM). Based on his LLM training experience, he is also responsible for creating synthetic data and designing learning methods that lead to accuracy improvement.
・Shunsaku Endo, APTO Co., Ltd.
He began serious programming studies while attending a game programming vocational school, where he won numerous awards at internal review competitions. Developing a strong interest in the AI field while honing his technical skills, he co-founded APTO in 2020. He focused on the inefficiency of data collection, preparation, and utilization in AI development and is working to solve these issues. Currently, he manages both development and business at APTO.
・Jun Fukamachi, Highreso Co., Ltd.
Responsible for sales of "GPUSOROBAN," a domestic cloud service utilizing cutting-edge GPUs.
He provides high-performance GPUs at low prices from regional data centers in Japan, supporting AI research, scientific computing (HPC), and DX utilization, primarily for universities, research institutions, and manufacturing industries.
He is committed to providing GPU clouds utilizing regional data centers, aiming to achieve both cost-effectiveness and reliability.
・Facilitator: Masato Yamaguchi, Highreso Co., Ltd.
After gaining experience in sales and business development in advertising, publishing, and digital fields, he is now responsible for alliance strategy at Highreso. Centered on the GPU cloud business, he promotes collaboration with companies, research institutions, and partner companies, and builds business partnerships. Through cross-industry collaboration, he is working to create new collaborative models utilizing GPUs.
About Highreso Co., Ltd.
Since 2019, Highreso has been operating GPU data centers specialized in AI development and providing the GPU cloud service "GPUSOROBAN."
June 2022: Awarded NVIDIA "Best CSP Partner of the Year"
April 2024: Certified by the Ministry of Economy, Trade and Industry for the "Cloud Program" Supply Security Plan
February 2026: A small-scale demonstration project for building a green AI data center in the Kingdom of Bhutan was adopted for the Ministry of Economy, Trade and Industry's FY2024 supplementary budget Global South Future-Oriented Co-creation, etc. Project Subsidy (Small-scale Demonstration/FS Project).
About GPU Data Centers Specialized in AI Development
Highreso has established data centers in five locations in Ishikawa, Kagawa, and Saga prefectures, utilizing idle facilities such as abandoned schools. We promote GX by operating with reduced environmental impact through unique construction know-how that leverages regional characteristics. Furthermore, by developing digital infrastructure to promote domestic economic growth and decentralizing data centers, we contribute to the government's "Watt-Bit Linkage" concept, which aims to revitalize regional areas.
• August 2019: Opened Shika Town No. 1 Data Center in Ishikawa Prefecture as a GPU-dedicated data center.
• August 2022: Opened Shika Town No. 2 Data Center in Ishikawa Prefecture, one of the largest in Japan.
• December 2024: Opened Takamatsu City Data Center in Kagawa Prefecture, the first in the Chugoku-Shikoku region.
• August 2025: Opened Genkai Town Data Center in Saga Prefecture, the first in Japan to utilize an abandoned school.
• March 2026: Opened Ayagawa Town Data Center in Kagawa Prefecture, the second base in the Chugoku-Shikoku region.
About GPUSOROBAN
"GPUSOROBAN" is a GPU cloud service that accelerates massive computational processing for image generation AI, LLMs (Large Language Models), and other applications. By reducing data center construction and operating costs, it provides high-performance NVIDIA GPU servers at a low cost. GPUSOROBAN has a cumulative usage record of over 2,000 cases and is widely used across various industries, from IT to manufacturing, construction, and university research institutions.
Company Profile
Company Name: Highreso Co., Ltd.
Head Office: 106-1 Moroura, Genkai-cho, Higashimatsuura-gun, Saga
Tokyo Head Office: 3-24-1 Ichigaya-Tamachi, Shinjuku-ku, Tokyo
Representative Director: Yoshiyuki Shikura
Business Activities: Operation of GPU-dedicated data centers, provision of GPU cloud service GPUSOROBAN
Corporate Website: https://highreso.jp/
GPUSOROBAN: https://soroban.highreso.jp/
Contact for service inquiries: ln-gpu-sales@highreso.co.jp
Contact for press release inquiries: press@highreso.co.jp
FAQ
What is the main theme of this webinar?
The main themes are the success equation for LLM data development, safety design for Physical AI, high-quality data concepts, and GPU environment optimization.
Who should attend this webinar?
AI developers and researchers interested in LLM safety design, data quality, Physical AI, and GPU infrastructure optimization.
What is Highreso Co., Ltd.'s main business?
Highreso provides the GPU cloud service "GPUSOROBAN" and operates GPU data centers specialized in AI development.