浪潮海岳大模型

浪潮海岳大模型 is positioned as an Enterprise Intelligent automation foundation from Inspur General Software, a China-based enterprise software vendor. It brings together domAIn knowledge and business prACTices for organizations that want to use large-model capabilities insIDE finance, HR, treasury, supply chain, office work, and software development. The public description emphASIzes broad domain coveRAGe plus industry customization for manufacturing, water management, grain, mining, and similar SECtors.

What it does

The platform is meant to act as a common large-model layer for enterprise tasks. Instead of being a single-purpose chatbot, it connects natural language understanding with enterprise knowledge bases, documents, data, search, and low-code tooling so teams can automate routine Business processes.

Key capabilities

• Enterprise knowledge Q&Amp;A: semantic search and question answering over internal policies, product Information, and other knowledge sources.
• Document handling: assisted drafting, summarization, reading support, and content idea generation for reports, meeting notes, and similar materials.
• Conversational data analysis: querying and exploring business data through dialogue to surface sales figures, market trends, and other insights.
• Search enhancement: aggregating enterprise knowledge and summarizing key points to improve search precision.
• low-code development: generating and optimizing code from natural-language descriptions to support APPlication building.
• Contract review: risk checking for common contract types to support compliance and office efficiency.

Who it is for

The tool targets medium and large organizations, especially those in regulated or asset-heavy industries that need domain-specific Automation. Typical users include business Operations teams, finance and HR departments, supply chain planners, legal or contract reviewers, data analysts, and internal developers working with low-code platfORMs.

How to get started

Prospective users would normally begin through the vendor's official website, where access, dEMOs, and enterprise onboarding are likely handled through sales or partner channels. Because this is an enterprise platform, the practical starting point is usually a consultation or pilot rather than self-service signup. Exact trial availability, implementation requirements, and deployment options may vary and should be confirmed with the vendor.

Pricing and access caveat

Public materials do not provide clear self-service pricing. The platform appears to be offered through enterprise agreements, so costs may depend on modules, usage scale, customization, and support terms. The source description also does not confirm a specific veRSIon, release cadence, or free tier, so those details should not be assumed. Teams should verify licensing, Data Residency, integration effort, and model hosting arrangements directly with the provider before planning a rollout.