Secure LLM for Energy

Private LLM deployment

Rapidly deploy a secure, private large language model with a 2-week, templatised accelerator built for enterprise use.

Hypercube’s Secure LLM for Energy offers a fast, secure way to deploy a privately hosted, enterprise-grade LLM environment. Designed for organisations that want the power of models like GPT, Claude, or Bedrock without the risks of public AI services, this package provides a safe, controlled deployment - including your own UI and full data security.

In just two weeks, we deliver a working private LLM stack: hosted securely, accessible via a user-friendly interface, and integrated with your systems.

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Challenges

Challenges of LLM adoption in enterprise environments

Exposure risk using public AI models for sensitive data

Lack of internal expertise to deploy and fine-tune private LLMs

Concerns over infrastructure costs, scalability and governance

Uncertainty around model selection and hosting architecture

Our Approach

Delivered in 2 weeks, Hypercube’s Secure LLM for Energy is a rapid, templatised engagement tailored to your security, compliance, and user needs.

Activities include:

Private hosting setup (cloud or on-premise options)
Model selection and configuration (e.g., the same models that drive Claude, Gemini and ChatGPT)
Custom UI for internal use cases (e.g., chatbot, Q&A, summarisation)
Integration with enterprise systems (e.g., document stores, APIs)
Security hardening, access control, and data governance setup

The output includes a fully operational LLM environment, access-ready for users, along with deployment documentation and a handover pack.