LeapShark Ocean Product Details
Protect internal data,empower your business with generative AI.
LeapShark Ocean is an on-premises AI foundation for using generative AI safely within your corporate network. Because inference runs locally, there are no per-request or per-token fees like cloud AI. This page covers what the top page only summarizes: challenges, key capabilities, usage, implementation process, pricing approach, and FAQ.
We accept material requests, demo requests, and free consultations even before your requirements are finalized.
The Reality of AI Adoption
Internal data must stay inside. You still want generative AI.
Regulations, meeting minutes, and business documents are often the most valuable information—and the hardest to send to cloud AI. Even in those situations, you need an environment where generative AI can be used safely. Cloud AI also charges per use, so costs can grow as adoption spreads. LeapShark provides hands-on support for implementing and operating LeapShark Ocean—an on-premises AI foundation that lets you use generative AI within your corporate network.
Common Challenges
Want to use generative AI but facing these concerns?
From security worries to scattered documents and operational challenges—these are common voices from executives, DX leaders, IT departments, and admin teams in the early stages of AI adoption.
Want to use generative AI but worry about sending internal information to external services
Internal documents and business materials are scattered, making it time-consuming to find what you need
Knowledge sharing is person-dependent, creating high workload for inquiries and document creation
Considering AI adoption but unsure where to start from a security and operations perspective
Per-request or per-token cloud AI pricing is holding back broader adoption
Why Now
As AI adoption accelerates, enterprises need an AI foundation
Beyond experimenting with chat tools, it is essential to design a foundation that safely leverages internal knowledge. Environment setup including permissions, logs, and operations is a prerequisite for long-term use.
Speed of information access becomes a competitive advantage
Documents, regulations, meeting minutes, and business materials only create value when organized for use. AI becomes the foundation for reaching the information you need quickly.
Managed environments are essential for AI adoption
Prioritizing convenience alone leads to ambiguous information management and usage rules. Long-term enterprise use requires design that includes permissions, logs, and operational policies.
From one-off deployment to AI foundation
Rather than stopping at chat, a foundation that can evolve into internal document search, business support, and AI agents enables continuous improvement.
Features
LeapShark Ocean Features
Combining on-premises AI, internal document utilization, permission and log management, and implementation support, we aim to help enterprises use AI with confidence over the long term. Because inference runs locally, you can use AI without per-use cloud fees—in a way that feels effectively unlimited.
Safe use within your corporate network
We design dedicated AI servers tailored to your enterprise environment, enabling generative AI use while properly managing internal information.
AI references internal documents and knowledge
Search and reference regulations, manuals, meeting minutes, and business documents to support daily answers and document creation.
Dedicated AI servers and implementation support
We accompany you from configuration planning through deployment and operations, aligned with each company's network, security requirements, and operational policies.
AI foundation designed for long-term use
Designed not just as a chat tool, but as a foundation expandable to permission management, log management, admin features, and AI agent utilization.
Use AI without usage limits
On-premises inference means no per-request or per-token fees like cloud AI. Teams can keep using AI on site without watching usage costs grow.
Outcomes
What you can achieve with implementation
We focus not on deploying AI itself, but on safely using internal information assets to support daily business decisions and productivity.
Start using generative AI while reducing concerns about sending internal information externally
Reduce time searching internal documents and business materials, supporting staff decision-making
Streamline daily tasks such as inquiry handling, document creation, summarization, and information organization
Enable executives, DX leaders, and IT departments to advance AI adoption with shared understanding
Expand AI usage without the per-use billing concerns that come with cloud AI
Usage Overview
How it works after deployment
AI safely references internal documents. Users ask questions and make requests in everyday language. Administrators review permissions and usage while improving operations to fit your organization.
01
Register internal documents
Import business materials, regulations, manuals, FAQs, and more according to your use cases.
02
Manage permissions and logs
Control access scope, referenceable information, and usage history aligned with internal operations.
03
Ask and request via AI
Perform information search, document creation, summarization, and knowledge verification in natural language.
04
Improve with your business
Review usage and answer quality, and continuously improve target documents and operational rules.
Capabilities
Key Capabilities
Features are not the goal. We combine the capabilities needed to deliver an AI foundation you can use confidently in daily work.
AI Chat
Support internal business questions and document creation through natural conversation.
Internal Document Search
Reach the information you need quickly from scattered documents.
Knowledge Utilization
Make accumulated internal knowledge accessible and usable for staff.
File Upload
Import business materials and manage them as targets for AI utilization.
Permission Management
Design information access scope and user permissions aligned with operational policies.
Log Management
Review usage for governance and continuous improvement.
Admin Features
Manage documents, users, and settings for easy internal operation.
AI Agents
Support future business assistance beyond search and creation.
Implementation Process
From consultation to operations
You do not need to finalize specifications from the start. Through issue assessment, demos, and requirements gathering, we build an implementation plan suited to each company's environment.
Free Consultation
We organize current challenges, information to handle, security requirements, and expected outcomes.
Requirements & Proposal
We propose an implementation approach, target workflows, required capabilities, and next steps tailored to your environment.
Demo & Validation
Confirm actual usage scenarios and prepare materials needed for internal briefings and decision-making.
Build & Deploy
We build dedicated AI servers and the AI environment, and configure settings for operational launch.
Operations & Improvement
We continuously improve target documents, answer quality, and management methods based on usage.
Pricing
Pricing is customized based on your requirements.
Optimal configuration varies by security requirements, deployment environment, required capabilities, and operational policies. Rather than a price list, we propose individually. Because inference runs on-premises, there are no per-request or per-token fees like cloud AI. Implementation and operating costs are quoted individually. Contact us for details.
Topics we cover during consultation
FAQ
Frequently Asked Questions
Common questions we receive in the early stages of implementation consideration.
How is this different from cloud AI?
The key difference is using AI in a dedicated enterprise environment. Designed for internal documents and business information, including security, permissions, logs, and admin features. In addition, on-premises inference means no per-request or per-token fees like cloud AI.
Are there limits on usage or tokens?
There are no per-request or per-token fees like cloud AI. Because inference runs on your own servers, you can use AI without watching usage costs grow. Server capacity and concurrent-user requirements are designed around your needs at implementation time.
How is pricing determined?
We do not publish a price list. Pricing is proposed individually based on required capabilities, deployment environment, and operational requirements. There is no per-use charge for AI itself—implementation and operating costs are quoted individually. Contact us for details.
Can we consult even if we don't know where to start?
Absolutely. In a free consultation, we help clarify the workflows you want to enable, documents to handle, and internal concerns—together defining what you need for evaluation.
Can you align with existing internal rules and IT department requirements?
Yes. We prioritize design aligned with each company's environment—including network, permissions, logs, and operational workflows.
Contact
Start with a consultation on secure AI for internal data.
We accept material requests, demo requests, and free consultations. Even if requirements are not yet defined, we can help organize your evaluation points.
For those who want an overview document for internal review.
Request MaterialsFor those who want to see concrete usage scenarios.
Request a DemoFor those who want to discuss challenges before implementation.
Request a Free ConsultationPlease contact us at the email address above.
We typically respond within two business days.