ApexKube

Services

AI capability, built around your business

Local or hosted, simple assistant or multi-step agent — we design the right solution, build it with you and support it for the long term.

Private, local LLMs

Run open-source models such as Llama, Mistral, Qwen and Gemma on your own hardware or private cloud. Your data never leaves your control.

Best for: Sensitive or regulated data, predictable costs, offline sites.

  • Model selection and benchmarking against your real workload
  • Hardware sizing — from a single GPU workstation to an on-prem server
  • Secure deployment with Ollama, vLLM or llama.cpp
  • Retrieval (RAG) over your own documents and data
  • Ongoing model updates and quality evaluations

Hosted LLM integration

Tap into frontier models from leading providers through secure, governed integrations — with no infrastructure to manage.

Best for: Fast time-to-value, top-tier reasoning, variable workloads.

  • Provider selection and cost modelling
  • Secure gateway with key management and usage limits
  • Prompt design, guardrails and automated evaluation
  • Data-handling settings aligned to your compliance needs
  • Hybrid routing: hosted for heavy reasoning, local for sensitive data

Agents & agent harnesses

We wrap your existing applications in an agent layer, so an LLM can read, reason and take action inside the tools you already use.

Best for: Repetitive, multi-step work that spans several systems.

  • Custom connectors for your CRM, ERP, inbox, databases and APIs
  • A harness with permissions, approvals and full audit logs
  • Human-in-the-loop checkpoints for high-impact actions
  • Model-agnostic — swap local or hosted LLMs without a rebuild
  • Monitoring, tracing and continuous improvement

AI strategy & enablement

Practical guidance and hands-on training, so your team knows where AI pays off and how to use it safely.

Best for: Teams getting started, or scaling beyond experiments.

  • AI readiness assessment and opportunity mapping
  • A roadmap ranked by return on investment
  • Staff workshops and prompt playbooks
  • AI usage policy and governance

Local vs hosted

Which kind of LLM is right for you?

There's no single right answer, and many businesses use both. Here's how the two compare. We'll help you weigh it up for your own data and budget.

Factor Local open-source Hosted
Data privacy Stays on your infrastructure Governed by provider terms
Upfront cost Hardware investment None — pay as you go
Running cost Predictable and fixed Scales with usage
Model capability Strong and improving fast Frontier-level reasoning
Setup time Days to weeks Hours to days
Works offline Yes No

Can't decide? Hybrid routing sends sensitive tasks to a local model and heavy reasoning to a hosted one, automatically.

FAQ

Common questions

Do I need expensive hardware to run a local LLM?

Not always. Many business tasks run well on a single modern GPU workstation. We size hardware to your workload, and we'll tell you when a hosted model is the better deal.

Will my data be used to train someone else's model?

With local models, your data never leaves your environment. With hosted models, we configure business-grade plans and settings that keep your data out of provider training, and we document exactly where it flows.

Can an agent take actions without anyone checking?

Only if you want it to. Our harness lets you decide which actions run automatically and which need a person to approve — and every action is logged.

We're not technical. Can we still do this?

Yes. That's who we built ApexKube for. We handle the engineering, train your team in plain language and hand over documentation so you're never dependent on us.

Ready to put AI to work?

Tell us about one task that slows your team down. We'll show you what an AI agent could do with it — no jargon, no obligation.

Start a conversation See use cases