Cache AI® — Middleware for AI Inference
A proprietary AI inference caching technology
conceived, named, and systematized by Geek Guild
to address real-world challenges of cost, latency, and power consumption.
The Origin, Naming, and Systematization of Cache AI
Geek Guild Co., Ltd. is a pioneering company that applied the concept of caching specifically to the inference process of AI, particularly deep learning models, and conceived, named, and systematized it as a proprietary technology framework called Cache AI®.
While efforts to improve computational efficiency and inference speed have long existed within AI research, Geek Guild took a fundamentally different approach. Rather than pursuing isolated optimization techniques, Geek Guild established caching as middleware for AI inference, systematizing it at a product level as a practical and commercially viable technology, suitable for patent protection.
Cache AI is designed as a comprehensive solution to the key challenges in real-world AI deployment, including cost, latency, and power consumption, enabling scalable and efficient AI inference without modifying underlying models.
Cache AI and its Japanese representation are registered trademarks of Geek Guild in Japan. The term does not refer to the general concept of caching in AI research or academia, but specifically to Geek Guild’s proprietary technology framework and product concept.
“Cache AI” is a registered trademark of Geek Guild Co., Ltd. (Japan Trademark Registration No. 6386611)
“キャッシュAI” is a registered trademark of Geek Guild Co., Ltd. (Japan Trademark Registration No. 6259356)
Corporate HistoryOUR HISTORY
Establishing Geek Guild
- 2014Founders started AI R&D
- 2016Established the AI Research Institutes
- 2017Incorporated the research institute
- 2018Spun out and established Geek Guild
- 2018Contracted AI development and research
- 2019Released open-source Smalltrain
- 2020“Kyoto Pharmacy Project” started
History after establishment

History of R&DFor the development of general AI
- 2014Predict solar radiation by machine learning
- 2016Predict power generation by deep learning
- 2017
- 2018Achieved RMSE 0.6 in power consumption prediction accuracy
- Invented miniaturization technology, cache AI
- Building a dynamic pricing model
- 2019Open-sourced SmallTrain
- 2020Time series data reinforcement learning model
- 2021AI-OCR model
- 2022Successful Cache AI model
Certification & Award
| 2020.08.18 | Certified by Kyoto Prefecture's "Genki-in Small and Medium Enterprise Certification System" |
|---|---|
| 2020.11.25 | Certified as a “Kyoto Smart Product” by Kyoto Wisdom Industry Creation Forest |
| 2021.02.26 | Kansai New Business Council “Kansai NBC New Business Award 2020” Winner of the Kinki Bureau of Economy, Trade and Industry Award and New Business Grand PrixVIEW MORE |
| 2021.07.06 | GIF2021 Japan Representative Startup Selection Contest Japan Representative/td> |
Subsidy Adopted
• FY2020 Kyoto Sangyo 21 Kyoto Economic Gardening Support Strengthening Project
"Deployment of AI engine 'Forecast'"
Make profit through open source projects and “Cache AI” licenses
• FY2020 Kyoto Wisdom Industry Creation Forest Project to support the promotion of long-term stable power source from solar power generation equipment
development of AI for detecting power plant equipment failures towards long-term strategic power supply
• FY2020 Kyoto Prefecture Corona-Responsive Social Business Model Creation Project
Kyoto AI pharmacy guild concept for the Covid-19 society
• FY2021 Kyoto Sangyo 21 Corporate Collaboration Business Creation Support Project
Building the next generation of small-scale pharmacies – mailing medicine system using AI
• FY2020 Kyoto Sangyo 21 Crisis Overcoming Business Creation Support Project
Realizing a new pharmacy business model after Covid-19
• Manufacturing, commerce, and service productivity improvement promotion subsidy 16th deadline
“Improving audit efficiency of dispensing pharmacies and utilizing medication data using Cache AI technology”
Patent
| Name of Invention | Application Number |
|---|---|
| LEARNING DEVICE, METHOD AND PROGRAM | PCT/JP2020/01809 |
| CONVERSION SYSTEM, METHOD AND PROGRAM | PCT/JP2020/01806 |
| MEDICINE PREPARATION SUPPORT SYSTEM, CONTROL METHOD, CONTROL PROGRAM AND DEVICE | 2022008919 |
Press Release
2020.12.28 Released in the US
Release of Deep Learning Framework "SmallTrain 0.2.0" For Professional/Commercial Use
2021.01.27 Released in the US
Release of Deep Learning Framework "SmallTrain 0.2.1"
Company OverviewCOMPANY
| Comapny Name | Geek Guild Co., Ltd. |
|---|---|
| Head Office | Kyoto University Katsura Venture Plaza North Building 310, 1-36, Goryo-ohara, Nishikyo-ku, Kyoto 615-8245 |
| Tokyo Lab | 609 Ichigo Ebisu Green Grass, 3-1-1 Ebisu Minami, Shibuya-ku, Tokyo 150-0022 |
| Establishment | June 26, 2018 |
| Representative | Shinsuke Hanamura Miki Bito |
| Board Member | Masao Tejima |
| Business |
• Research and development of Artificial Intelligence • Applied research of Artificial Intelligence and various technologies in the field of computer software • Consulting on Artificial Intelligence • Planning, management, and operation of lectures, symposiums, and seminars on Artificial Intelligence |
Certificate
Geek Guild Co., Ltd. has obtained ISO/IEC 27001:2022 certification, an international standard for Information Security Management System (ISMS).
| registered organization | Geek Guild Co., Ltd. |
|---|---|
| Applicable standards | ISO/IEC 27001:2022 |
| Certificate Number | GIJP-0609-IC |
| Certification Authority | GCERTI |
| Certification Date | December 22, 2021 |
