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  1. Home
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  3. ANGEWORK 本社
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Information and Communications
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ANGEWORK 本社

Establishment2011/04/11
capital300Ten thousand
number of employees5
addressTokyo/Chiyoda-ku/73 Kanda Neribeicho, Promiere Akihabara 703
phone--------
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last updated:Jul 14, 2026
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ANGEWORK List of News Articles

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  • Publication year : 2026

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AI解説ゲームブック調.jpg

ANGEWORK has published a beginner-friendly article explaining how to choose AI in a game book format.

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ANGEWORK Co., Ltd. has published an article titled "Nostalgic Game Book! How to Choose the Right AI for You - August 2026 Edition," in response to voices expressing interest in AI but finding it "overwhelming with many types and difficult to understand." The article explains the applications and selection of AI in a game book format. Our representative, who is involved in IT development and AI utilization, has structured the content to allow learning through options based on purposes such as "I want answers to questions," "I want to create images or text," "I want to research materials," and "I want to operate existing applications," while minimizing the use of technical jargon. The article broadly introduces the main applications and mechanisms of current AI, including generative AI, image, video, audio, code, 3D generation, internal document search, local AI, AI agents, MCP, skills, and harnesses. It serves as a useful entry point for AI selection, applicable from personal use to business implementation.

Aug 04, 2026

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Cherubim_Wave_Core_OGP.png

ANGEWORK Co., Ltd. releases the waveform data extraction and analysis engine "Cherubim Wave Core" - Supporting data utilization leveraging existing measurement devices.

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ANGEWORK Co., Ltd. has released the waveform data extraction and analysis engine "Cherubim Wave Core." This product is a software engine that extracts waveform information displayed and output by measuring instruments and dedicated applications, allowing it to be utilized as digital data in formats such as CSV, TXT, and xlsx. It supports the digitization of data for research, analysis, statistical processing, and AI utilization while making use of existing measuring instruments, thereby improving the efficiency of manual transcription and aggregation tasks. It also accommodates individual customization based on the equipment and usage environment.

Jul 22, 2026

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iphone_Gemma4.png

Successfully implemented local LLM on iPhone 16 Pro - Gemma 4 E2B operates completely offline.

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ANGEWORK Inc. has successfully integrated Google's lightweight LLM "Gemma 4 E2B" into the iPhone 16 Pro, enabling on-device AI to generate Japanese responses without internet communication. In this verification, we implemented a conversation screen using SwiftUI, bundled the model within the app, addressed crashes during device startup, adjusted Japanese input, and locally saved conversation history. We confirmed functionalities such as short Japanese conversations, rephrasing of business texts, and generating item lists. Since no information is sent to the cloud, it is expected to be utilized in fields that require confidentiality, such as healthcare, manufacturing, and research, as well as in facilities without communication environments, and for reception, guidance, and input assistance. In the future, we will focus on improving speed, reducing memory usage, and advancing integration with closed-domain RAG and existing applications.

Jul 22, 2026

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20260427_03.jpg

Exhibition of Point Cloud × Sensor × AI "Mistrace" at the GENIAC Results Presentation Caravan Tokyo Venue

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We exhibited at the "GENIAC-PRIZE Results Presentation Caravan (Tokyo Venue)." This event is part of an initiative aimed at the social implementation of generative AI, focusing on the introduction of use cases and networking by AI developers from various fields. At our booth, we showcased our technology "Mistrace," which integrates point cloud data, sensors, and AI to digitize tacit knowledge. ■ Exhibition Details Mistrace is a system that combines point cloud measurements from smartphones with various sensor information, enabling the reproduction and visualization of work conditions and skills. It is intended for applications that utilize tacit knowledge in the manufacturing industry. ■ Event Highlights On the day of the event, many visitors stopped by our booth, and we received numerous inquiries about specific applications and implementation. In particular, there was a high level of interest in our approach of skill reproduction through "point cloud × sensors × AI," resulting in feedback that exceeded our expectations. ■ Looking Ahead For inquiries or technical questions regarding Mistrace, please feel free to contact us.

May 27, 2026

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