When a Focused AI Project Makes Sense
Many organisations reach a point where they want to use AI for internal work — but they are not comfortable sending sensitive business data to public AI services. A private LLM addresses this directly.
- Data confidentiality — internal documents, client information, financial records, and intellectual property must not leave the organisation's environment
- Compliance and governance — regulated industries such as finance, healthcare, and legal need demonstrable control over where data goes and who can access it
- Internal knowledge integration — a private LLM can be trained or retrieval-augmented with your company's specific documents, policies, and processes, making it far more useful than a generic public tool
- Consistent AI behaviour — you control the model, the guardrails, and the outputs, rather than relying on a third party's product decisions
- Long-term cost management — at sufficient usage volumes, a private deployment can be more economical than per-query public API costs
What Bevootech Helps With
Use-case Assessment
We start by understanding what you want the private LLM to do, what data it will work with, who will use it, and what your current cloud environment looks like.
Cloud Architecture
We design the cloud architecture for your private LLM deployment — choosing between cloud service provider options, deployment patterns, compute and storage configurations, and network topology.
Model Selection
We assess and recommend appropriate open-source or licensable LLM models based on your use case, performance requirements, and infrastructure.
Security Design
We design access controls, authentication, network isolation, audit logging, and data handling policies appropriate to your security and compliance requirements.
Knowledge Integration
We implement the document ingestion pipeline, vector database, and retrieval logic so the model answers accurately from your internal knowledge (RAG).
Implementation & Support
We manage the full implementation, conduct user acceptance testing, train your internal administrators, and provide ongoing support for the deployed environment.
Architecture and Deployment Planning
The right architecture depends on your use case, data volume, user base, security requirements, and existing cloud infrastructure. Key decisions include:
| Consideration | Options and trade-offs |
|---|---|
| Cloud environment | AWS (existing Bevootech capability), Azure, GCP — or a hybrid/private cloud |
| Compute | GPU-based compute for inference (required for most models), CPU-based for lighter workloads |
| Model type | Open-source models (Llama, Mistral, etc.) or commercial licensed models |
| Data access pattern | RAG (retrieval from your documents) vs. fine-tuned model vs. in-context prompting |
| User access | Internal web interface, API for integration with apps, or both |
| Security boundary | VPC isolation, IAM roles, encryption at rest and in transit, audit logging |
| Operational model | Managed by Bevootech, handed to your internal team, or a hybrid |
Take action today! Simply fill up the form below and we will get in touch with you shortly.
Contact Us
+65 8687 8143
sales@bevootech.com

