EFFICIENCY · AI Enablement
Private AI & Data Security
Your data stays in-house. AI still works.
What is private AI deployment?
Running models on your own servers or private cloud, so data never passes through a third party. It suits companies with strict confidentiality over client data, pricing and designs.
What is included
- 01Deployment plan and hardware
- 02On-site open-source models
- 03Internal knowledge base integration
- 04Access control and audit
- 05AI data-use policy
How we work
- ScopeFind where AI pays off first.
- PrototypePilot small and measure.
- LaunchConnect to real work and systems.
- Train & iterateGet the team fluent, keep improving.
FAQ
What hardware does a local model need?
It depends on size. A 7-billion-parameter model runs on one 24 GB GPU; larger models need several GPUs or a dedicated GPU server.
Private deployment or a cloud business plan?
Choose private for strict confidentiality and heavy use; choose a cloud business plan for speed and no upkeep. Many companies use both.
Related
- A-01AI Strategy & Use CasesFind the right use case, then the right tool.
- A-02AI for Export SalesFaster at every step, from inquiry to contract.
- A-03Knowledge Base & AI Customer ServiceRight answers from day one.
- A-04AI AgentsGive it a goal. It gets the job done.
- A-05Workflow AutomationLet the workflow handle the repeats.
- A-07Team Training & AI PolicyThe tools are ready. So is the team.