Chapter 1
You've seen what AI can do. You know it could transform your operations — answering questions, processing documents, automating workflows, helping your team work faster.
But there's a problem. Your data — client files, contracts, financials, IP, internal communications — can't be uploaded to ChatGPT or any cloud AI. Your compliance team said no. Your clients expect confidentiality. Your industry demands it.
So you're stuck. The companies with nothing to protect get all the AI advantages, while you watch from the sidelines.
Chapter 2
Not a cloud service. Not someone else's API. Your hardware. Your network. Your rules.
We deploy a production-grade large language model directly on your infrastructure. Then we build a custom AI agent around it — trained on your business context, connected to your systems, accessible to your team.
Every query, every document, every conversation stays inside your walls. No data ever touches the public internet.
Chapter 3
We install and optimise a production-grade language model on your hardware. Llama 3.1, Mistral, Qwen, DeepSeek — we pick the best model for your use case and GPU. Runs via Ollama or vLLM for enterprise throughput.
A persistent agent that knows your business. We build custom tools, integrate your data sources (email, CRM, documents, databases), and train it on your context. It gets smarter over time with vector memory.
Retrieval-Augmented Generation — your documents become searchable AI knowledge. Upload policies, contracts, manuals, and the AI answers questions from them accurately. All stored locally in a vector database.
Connect to your existing tools — Microsoft 365, Salesforce, Xero, internal APIs, databases, file shares. The agent reads and writes to your systems, automating workflows that currently eat hours.
A clean web UI your team can access from any device on your network. Chat with the AI, upload documents, generate reports. No training needed — if they can use ChatGPT, they can use this.
We don't just install and walk away. Monthly managed service includes model updates, performance tuning, new tool development, monitoring, and support. Your AI gets better every month.
Client privilege. Document review. Contract analysis. AI that never shares a word outside your firm.
Patient data stays on-site. Clinical notes, research, administrative automation — fully private.
Client portfolios, risk analysis, compliance docs — processed locally with zero cloud exposure.
Classified and sensitive data. On-premise deployment meets IRAP and PSPF requirements.
Protect trade secrets, patents, and research data. AI assistance without IP exposure risk.
If your industry has data residency, privacy, or compliance requirements — this is your path to AI.
| 10-person team, moderate usage | Cloud AI (GPT/Claude) | Private AI (Ours) |
|---|---|---|
| API / subscription costs | $12,000 — $36,000/yr | $0 (your hardware) |
| Setup & customisation | $5,000 — $20,000 | $5,000 — $25,000 |
| Ongoing management | $500 — $2,000/mo | $500 — $2,000/mo |
| Data leaves your network? | Yes — every query | Never |
| Year 1 total (mid-range) | $37,000 — $68,000 | $17,000 — $49,000 |
* Assumes existing server hardware with GPU. We can advise on hardware if needed.
Already have a server with a GPU? You're probably ready. We assess your existing hardware for free.
We audit your hardware, understand your use cases, and map your data sources. You tell us what the AI should do — answer client questions, review documents, automate reports, whatever you need.
1–2 days · Remote or on-site
We install the LLM runtime (Ollama/vLLM), configure the vector database (ChromaDB/Qdrant), set up the agent framework, and deploy the web interface. Everything containerised with Docker for easy management.
2–5 days · Remote access to your server
We build custom tools for your agent, ingest your documents into the knowledge base, connect your systems (email, CRM, files), and fine-tune responses for your business domain.
3–7 days · Iterative with your team
Team onboarding, documentation, monitoring dashboards. Your people start using it immediately. We stay on for managed support — model updates, new capabilities, performance tuning.
1–2 days · Training included
Total: 1–3 weeks from kickoff to production.
Most cloud AI vendors take longer just to scope the project.
We don't just talk about self-hosted AI. We live it.
Our AI agent (Little Dragon) runs 24/7 on self-hosted infrastructure — managing 40+ Docker containers, triaging email, controlling smart home devices, and building software. This is our production system, not a lab experiment.
Led by a certified Solutions Architect (PMP, PRINCE2) with enterprise consulting experience across Microsoft, Azure, and Dataverse. We build things that scale and that IT teams can maintain.
Our AI builds overnight. What takes traditional consultancies weeks of billable hours, we deliver in days. You're not paying for a team of 10 sitting in meetings — you're paying for results.
Melbourne-based. AEST timezone. We understand Australian compliance requirements — Privacy Act, APPs, IRAP considerations. No offshore data processing.
Transparent. No surprises.
Free hardware assessment. No obligation. We'll tell you exactly what's possible with what you have.
Or call: Melbourne business hours (AEST)
Three production AI-powered SaaS applications built in a single 48-hour sprint with token billing.
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