Nano Solutions

AI Integration Services in Perth

1

Discover

Map goals, users, constraints, existing systems, and the business case before scope locks in.

2

Design

Shape the architecture, delivery plan, risk register, and success measures around your operating reality.

3

Build

Ship focused increments with working demos, testing, accessibility checks, and security review.

4

Support

Monitor, maintain, document, and improve the platform so your team can rely on it long term.

Nano Solutions integrates AI into the systems Australian businesses already run — large language models, AI APIs and retrieval over your own data, connected to your tools and workflows. Established 2013, Fremantle-based, vendor-neutral, and a WA Government CUAICTS2021 ICT panel supplier (Contractor #225).

What AI integration actually is

AI integration is the work of connecting AI models into your existing applications, data and workflows so they do useful work inside the tools your team already uses. It's the difference between a chatbot demo and AI that moves real work through your business — and it's where most of the value (and most of the difficulty) actually lives.

What we integrate AI into

  • Internal tools & customer portals — assistants, drafting, classification and summarisation built into the screens your team uses.
  • CRMs, ERPs and line-of-business systems — AI that reads and writes the systems of record, not a disconnected sidebar.
  • Document & email pipelines — extraction, triage and routing of the paperwork that clogs up operations.
  • Custom software — AI features inside software we build or that you already run.

Grounded in your data, with retrieval

Retrieval-augmented generation (RAG) lets an AI assistant answer from your own documents, policies and records rather than generic training data. We build the retrieval pipeline, keep it current, and ground responses in sources you can audit — so the AI is accurate about your business, not just plausible in general.

Vendor-neutral, and private where it needs to be

We're model- and vendor-neutral: a commercial API where it fits, or a self-hosted private model where data sovereignty or cost matter more — designed so you can switch providers without a rebuild. Where data is sensitive, prompts and records stay on infrastructure you control, with Australian data sovereignty.

Frequently Asked Questions

What is AI integration?

AI integration is the work of connecting AI models — large language models, vision, speech or custom models — into your existing applications, data and workflows, so they do useful work inside the tools your team already uses. It is the difference between a chatbot demo and AI that actually moves work through your business.

What can Nano integrate AI into?

Internal tools, customer portals, CRMs and ERPs, document and email pipelines, support desks, and custom software we have built or that you already run. We connect both commercial AI APIs and self-hosted open-weight models, depending on your data-sovereignty and cost needs.

Can AI integration keep our data private?

Yes. Where data sensitivity requires it, we integrate self-hosted private AI so prompts and documents never leave infrastructure you control. Where a commercial API is appropriate, we design the integration to send only what is necessary and to keep your records under your control.

Do you use retrieval over our own data?

Yes — retrieval-augmented generation (RAG) lets an AI assistant answer from your own documents, policies and records rather than from generic training data. We build the retrieval pipeline, keep it current, and ground responses in sources you can audit.

Are you locked to one AI vendor?

No. We are model- and vendor-neutral, so we pick the right model — commercial or open-weight, hosted or self-hosted — for each use case, and design integrations you can switch providers on without a rebuild.

How do we start with AI integration?

With a free 30-minute scoping call to find the highest-value, lowest-risk place to start. We prefer a small, measurable first integration that proves value before expanding, rather than a big-bang rollout.

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Further Reading

Last reviewed: July 2026

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