Private AI Deployment

Deploy AI locally with WorkingMouse to keep your data private, compliant, and secure. Our on-premise AI solutions give you total control, data sovereignty, and the freedom to scale from small standalone systems to enterprise clusters without the risks or costs of public cloud AI.

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Trusted by innovators adopting local solutions

“For us, data sovereignty is a critical piece of the puzzle while trying to improve productivity and control costs. The Local AI solution provided by WorkingMouse is now called ‘HydroBrain’ and gives us exactly that.”

Simon Drummond Regional Manager Asia-Pacific Ecology and Biodiversity Management

Bring AI in-house, on your terms

We offer Local AI deployment options that prioritise data sovereignty and deliver a clear return on investment by reducing reliance on external platforms. Organisations are under pressure to adopt AI, but face barriers with compliance and increasingly expensive cloud/SaaS fees. With proven expertise in infrastructure from small standalone systems to self-hosted clusters WorkingMouse makes Local AI simple to deploy, secure from day one, and built to scale.

Control your data
Eliminate usage-based pricing
Tailored to your users and business
Connect with existing systems
Private AI and security from day one
Discover what generative AI can do for your business
Deploy quickly and scale with demand (from a single CPU to a data centre rack)

Start with a single CPU or scale to a data centre rack

Access and Use

WorkingMouse has replaced all paid GPT licences and development APIs with our own private LLM built through research, mid-tier hardware investment, and self-hosted model configuration.

With on-premise AI, teams can:

Access a variety of self-hosted models on the internal network.
Log in securely through your preferred authenticated provider such as Microsoft Active Directory (Entra ID).
Upload multimodal content for richer engagement.
Share chats privately when needed.
Set up workspaces and projects across the organisation using Retrieval-Augmented Generation (RAG) .

One example is our ISO GPT a knowledge base for our Management Systems that is accessible to the entire organisation. Local AI also enables private, secure collaboration on customer projects across teams.

Award-winning software company, bringing you Local AI

What AI Models can you leverage?

Open-source LLM models give your organisation the freedom to run AI on your own terms — with no black boxes and no hidden costs. They deliver transparency, flexibility, and full control, making them ideal if you want to integrate AI into your business without sending data to the cloud or being locked into a third-party platform.

Models we can help deploy and manage include:

Model Name	Parameters	Speed	Provider	Description
Llama4 Maverick	17B	Fast	Meta	General-purpose language model offering speedy but reasonably insightful responses
Devstral	24B	Standard	Mistral AI	Code generation model with good balance between speed and insight
Gemma3 Nano	1B	Fast	Google	Compact general-purpose model for text generation and conversation
Gemma3 Medium	27B	Standard	Google	General-purpose model offering meaningful responses with reasonable speed
Mistral Large	123B	Slow	Mistral AI	Large model for complex tasks with slow but highly insightful responses
Qwen2.5 Coder	32B	Standard	Alibaba	Code generation model with good balance between speed and insight
Llama3.1 Small	8B	Fast	Meta	General-purpose model offering fast but relatively simple responses
Qwen3 Coder	30B	Standard	Alibaba	Code generation model with good balance between speed and insight

Frequently Asked Questions

What is Local AI, and how is it different from ChatGPT or other cloud-based AI services?

Cloud AI (e.g., ChatGPT, Copilot): Runs on OpenAI/Microsoft servers. Your data, IP address, and queries are sent to and processed in their environment. You get the newest features first, but you give up some control and sovereignty.
Local AI (our solution): Runs inside your controlled environment (on-premises or private cloud). Your data never leaves. You keep sovereignty, compliance, and integration control.

Can I put customer details, Personally Identifiable Information (PII), or my organisation’s or customers Intellectual Property (IP) into ChatGPT?

No – not safely (unless you’re on an enterprise-grade contract). Public ChatGPT or other cloud LLMs aren’t suitable for sensitive data because:
- Prompts are processed outside your control.
- IP addresses and request logs may be stored.
- PII could create compliance breaches (GDPR, APPs, ISO 27001).
Yes – safely with Local AI. All processing stays within your environment, scoped to your user permissions. You maintain compliance with ISO 27001, Essential Eight, and data sovereignty laws.

Will Local AI give me the latest ChatGPT features?

Not exactly. You won’t see new ChatGPT experiments & features immediately.
Instead, you’ll use our Open WebUI interface, which looks and feels just like ChatGPT — so your team already knows how to use it.

What models does Local AI use?

Local AI runs open-source models. Some are comparable to commercial models, depending on your hardware.
Example: Mistral 68B on a medium Local AI setup produces results close to GPT-5 quality — just ~30% slower.
We’ll tailor the right balance of performance, accuracy, and hardware for your organisation.

Can multiple people in my organisation use Local AI at the same time?

Yes. We size the system for your team size and usage patterns so multiple users can work concurrently.

Can Local AI be used for coding and IDE integrations?

Yes. We can configure it for API-based coding support inside your IDE.

Can it integrate with our company’s systems or products?

Absolutely. Local AI can connect to products and services such as SharePoint, Xero, CRMs, ERPs, and custom tools.
We provide an API to your Local AI so it can be integrated to whatever service you like.
You can also integrate it into your products for better fixed cost service, e.g. trained to do specific things and lower cost than using cloud API's.

How is pricing structured?

Local AI is provided as a managed service:
- One-time implementation/setup fee.
- Ongoing monthly hosting + support fee.
- Optional tailored service packages for larger teams or advanced integrations.
Compared to paying for multiple SaaS AI subscriptions and API's, Local AI often delivers lower long-term costs with higher data security.

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