AI inside Launches Official Provision of AI Integration Platform "Leapnet"
AI inside Inc. has officially launched "Leapnet," an AI integration platform. This platform enables anyone to build AI agents that can knowledge-ize internal data and utilize it for business operations. The constructed AI agents can be integrated into proprietary systems via API or offered externally as a new revenue source.
📋 Article Processing Timeline
- 📰 Published: May 14, 2026 at 00:30
- 🔍 Collected: May 13, 2026 at 16:02
- 🤖 AI Analyzed: May 13, 2026 at 19:22 (3h 20m after Collected)
AI inside Inc. (Representative Director CEO: Taku Tokuchi, Headquarters: Minato-ku, Tokyo, hereinafter "AI inside") has officially launched its AI integration platform "Leapnet."
"Leapnet" is a platform that allows anyone to build AI agents that can knowledge-ize internal data and utilize it for business operations. The constructed AI agents can be integrated into proprietary systems via API, or offered externally to create new revenue sources.
"Leapnet" product website: https://leapnet.com
Background of Provision
As AI utilization advances, we are transitioning into an era where inference processing is executed on a larger scale than model training. In many companies, AI adoption remains limited to individual tasks or tools, with AI execution environments and integration structures remaining fragmented.
To solve this challenge, a structure is needed that can provide AI models, inference-specific hardware, platforms, and business applications as a single integrated unit. AI inside develops and provides all four of these layers in-house, offering an environment through "Leapnet" that is premised on AI execution, connection, and expansion.
Moving forward, while expanding connections with domestic partners, we will promote the autonomous construction of Japan's AI infrastructure.
Features of "Leapnet"
① Multimodal LLM
With "PolySphere-4," AI inside's independently developed large language model (LLM), diverse intellectual processing such as generation, summarization, classification, and extraction can be executed without the need for model training or pre-tuning.
② Multimodal RAG
By simply uploading internal data in various formats such as PDF, CSV, images, audio, and video, a highly accurate search foundation is built that enables natural language question-answering.
③ AI Agent Construction
Business-specific AI agents can be built with no-code by simply providing instructions in natural language. The constructed AI agents can be immediately integrated into proprietary business workflows and applications as APIs. The usage fee is a token-based billing system of 2 yen per 1,000 tokens, with usage-based charges according to the amount of AI processing.
④ AI Agent Inference Platform
As soon as AI agent construction is complete, an inference execution environment is automatically launched. No specialized knowledge or infrastructure construction is required, and it can be immediately connected to production operations as an API.
Future Roadmap
・Industry-specific AI Agent Services
We will begin offering AI agent services that address business challenges specific to each industry. This service package includes sample RAG data, prompts for agent construction, and verification applications, allowing users to launch AI agents simply by replacing them with their own data. The first phase, targeting the manufacturing industry, will begin in May 2026.
About AI inside Inc.
AI inside Inc. is a tech company that promotes the research and development and social implementation of generative AI, large language models (LLMs), and autonomous AI. With a track record of introducing its solutions to over 70,000 users, including government agencies, local public bodies, and private companies, and developing "PolySphere," an LLM specialized in Japanese document processing, the company is building and popularizing its unique AI infrastructure. Its flagship product, "DX Suite," as an AI agent specialized in data entry operations, achieves automation of the entire pre- and post-processes. Through these initiatives, AI inside promotes collaboration between humans and AI, realizing a "VALUE SHIFT" that shifts time created by productivity improvement and operational efficiency to higher value-added tasks.
Corporate website: https://inside.ai
"Leapnet" product website: https://leapnet.com/
*Product or service names mentioned in the text are trademarks or registered trademarks of AI inside Inc.
"Leapnet" is a platform that allows anyone to build AI agents that can knowledge-ize internal data and utilize it for business operations. The constructed AI agents can be integrated into proprietary systems via API, or offered externally to create new revenue sources.
"Leapnet" product website: https://leapnet.com
Background of Provision
As AI utilization advances, we are transitioning into an era where inference processing is executed on a larger scale than model training. In many companies, AI adoption remains limited to individual tasks or tools, with AI execution environments and integration structures remaining fragmented.
To solve this challenge, a structure is needed that can provide AI models, inference-specific hardware, platforms, and business applications as a single integrated unit. AI inside develops and provides all four of these layers in-house, offering an environment through "Leapnet" that is premised on AI execution, connection, and expansion.
Moving forward, while expanding connections with domestic partners, we will promote the autonomous construction of Japan's AI infrastructure.
Features of "Leapnet"
① Multimodal LLM
With "PolySphere-4," AI inside's independently developed large language model (LLM), diverse intellectual processing such as generation, summarization, classification, and extraction can be executed without the need for model training or pre-tuning.
② Multimodal RAG
By simply uploading internal data in various formats such as PDF, CSV, images, audio, and video, a highly accurate search foundation is built that enables natural language question-answering.
③ AI Agent Construction
Business-specific AI agents can be built with no-code by simply providing instructions in natural language. The constructed AI agents can be immediately integrated into proprietary business workflows and applications as APIs. The usage fee is a token-based billing system of 2 yen per 1,000 tokens, with usage-based charges according to the amount of AI processing.
④ AI Agent Inference Platform
As soon as AI agent construction is complete, an inference execution environment is automatically launched. No specialized knowledge or infrastructure construction is required, and it can be immediately connected to production operations as an API.
Future Roadmap
・Industry-specific AI Agent Services
We will begin offering AI agent services that address business challenges specific to each industry. This service package includes sample RAG data, prompts for agent construction, and verification applications, allowing users to launch AI agents simply by replacing them with their own data. The first phase, targeting the manufacturing industry, will begin in May 2026.
About AI inside Inc.
AI inside Inc. is a tech company that promotes the research and development and social implementation of generative AI, large language models (LLMs), and autonomous AI. With a track record of introducing its solutions to over 70,000 users, including government agencies, local public bodies, and private companies, and developing "PolySphere," an LLM specialized in Japanese document processing, the company is building and popularizing its unique AI infrastructure. Its flagship product, "DX Suite," as an AI agent specialized in data entry operations, achieves automation of the entire pre- and post-processes. Through these initiatives, AI inside promotes collaboration between humans and AI, realizing a "VALUE SHIFT" that shifts time created by productivity improvement and operational efficiency to higher value-added tasks.
Corporate website: https://inside.ai
"Leapnet" product website: https://leapnet.com/
*Product or service names mentioned in the text are trademarks or registered trademarks of AI inside Inc.