LeapShark / Private AI
Use the knowledge built across industry, academia, government, and finance—safely inside the organization.
LeapShark Ocean is a private AI foundation that runs generative AI on your own servers. Keep confidential data inside, use internal documents through RAG, and manage AI agents, permissions, and audit logs in one environment.
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Companies, universities, public bodies, and financial institutions hold years of knowledge in technical files, research data, policies, and past cases. Making that knowledge safely accessible in daily work creates the next competitive advantage.
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External cloud AI is convenient, but organizations still need to address confidential data, costs that grow with adoption, and integration with internal documents.
Policies or contracts may restrict sending design files, customer records, or research data to external services.
Many cloud AI services charge by user or usage. Organization-wide adoption requires ongoing control of recurring costs.
A general-purpose AI cannot search and answer from your internal documents until those sources are securely connected.
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Running generative AI on a dedicated internal server keeps information inside. RAG searches internal documents and produces grounded answers, without usage-based AI fees.
How AI stays inside the organization
External processing / Contract or usage-based cost / Document integration required
Internal processing / No usage-based AI fees / Documents used through RAG
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LeapShark Ocean
LeapShark Ocean combines the security and predictable cost of local AI with RAG, AI agents, access control, and audit logs. It gives organizations a managed environment instead of leaving AI use to individuals.
SECURITY
Inference runs on a dedicated internal server. Prompts, source documents, and answers can stay out of external cloud AI services.
COST
AI fees do not increase with every request or token. Usage is available within the capacity of the deployed server.
RAG
Search policies, technical files, minutes, and past cases, then answer from relevant passages with sources users can verify.
AI CHAT / RAG
Users ask in natural language while RAG finds relevant documents and returns answers with source references.
AI AGENT
AI agents support workflows that combine research, summarization, comparison, and document creation.
ACCESS CONTROL
Set available features and document access by department or role, so information is limited to authorized users.
AUDIT LOG
Record who used which function and when, supporting usage monitoring, audits, and operational improvement.
Protect critical information while making organizational knowledge useful through AI. That is LeapShark's work.
Company
| Company Name | LeapShark Inc. |
|---|---|
| Founded | June 4, 2025 |
| Established | August 8, 2025 |
| Representative | CEO Shinya Saito |
| Location | Yamato Building 405, 1-6-16 Kanda-Izumicho, Chiyoda-ku, Tokyo 101-0024, Japan |
| Contact | info@leap-shark.com |
| Business Content | Application and system development and operation business All businesses incidental and related to the preceding items |
News
Development areas connected to Ocean
We apply what we learn through LeapShark Ocean to related app development, including conversational AI and matching services.
View apps & Pick UpTell us about your security requirements, documents, users, and workflows. We will propose the right architecture centered on local AI and RAG.
