Good Data is the Backbone of Good AI.
Use your data to power your AI Agents.
Your AI agents are only as good as the data behind them. We build AI Lakehouses a single connected knowledge base from every system in your business. Built for Australian SMEs. Managed for you.
Your Systems → AI Lakehouse → AI Agents
The Problem
Your data is scattered. Your AI can't see the full picture.
Most businesses have data across 5, 10, 20 different systems. Your CRM doesn't talk to your ERP. Your timesheets don't connect to your project data.
You can bolt an AI agent onto one system. It'll answer questions about that system. But it won't understand your business — because it can only see a fragment.
We connect the fragments.
Without an AI Lakehouse
With an AI Lakehouse
The AI Lakehouse
One Brain for Your Entire Business
Most consultancies build you an agent with 500 words of knowledge. With an AI Lakehouse, your agents have dynamic knowledge that adapts every day as your business shifts and grows.
Data Lake
Stores everything — structured data, documents, files and logs from every system in your business.
Data Warehouse
Organises it for fast queries and reporting — so dashboards and AI responses are instant, not slow.
Context Layer
Adds business meaning — what this data represents, how it relates to other data and why it matters.
MCP Layer
Model Context Protocol gives AI agents a direct line to query your entire knowledge base in real time.
The result: instead of one AI agent per system, you get AI that understands your whole business.
It can answer questions spanning your CRM, operations, financials and HR data, all in one conversation.
Get the tools used by enterprises at SME prices.
The Complete AI Lakehouse Platform
Our Data Services
Four integrated services that take you from scattered data to a fully connected AI-ready business.
Data Strategy & Discovery
We understand your business, not just your systems. What decisions do you need to make? What questions can't you answer today? We map your data landscape and identify the highest-value opportunities.
Business Intelligence & Dashboards
Real-time dashboards your leadership team will actually use. Connected to live data, not last month's export. Built in Power BI, Looker or your preferred tool — designed for decision-makers, not data analysts.
AI Lakehouse Build
Ingesting data from your existing systems, structuring it for analytics and AI, and connecting it via MCP so your agents can access everything. Delivered in sprints, you see progress every two weeks.
Governance, Security & Access Controls
Role-based access controls, data classification, audit trails and security policies. Your data stays usable without becoming a liability. Designed to meet Australian privacy requirements.
Why This Matters
Without clean, connected data, AI fails.
Most failed AI projects don't fail because the AI was wrong. They fail because the data foundation wasn't there.
The data was incomplete or inconsistent
The AI could only see one system, not the full picture
No one mapped how the data relates to actual business decisions
The AI Lakehouse solves all three.
Frequently Asked Questions
Everything You Need to Know
Still have questions? Book a free 30-minute data assessment and we'll walk through your specific situation.
Book a Data AssessmentWhat is an AI Lakehouse? +
An AI Lakehouse combines a Data Lake (raw storage), Data Warehouse (structured queries), Context Layer (business meaning) and MCP (AI access protocol) into one unified platform. It gives your AI agents a complete, live view of your entire business — not just one system.
Why do I need connected data before using AI? +
AI agents are only as intelligent as the data they can access. If your data is siloed across 10 systems, your AI can only answer questions about one system at a time. Connected data means your AI can reason across your whole business — giving you answers that actually drive decisions.
What systems can you integrate? +
We integrate with virtually any system that has an API or data export — including Salesforce, HubSpot, Xero, MYOB, Jobber, ServiceM8, Microsoft 365, Google Workspace, Airtable, spreadsheets, databases and more. We'll assess your specific stack in the discovery phase.
Is this a managed service or a one-off project? +
Both options are available. Most clients choose our managed service — we build the Lakehouse, then monitor, maintain and evolve it as your business changes. This means you don't need to hire a data team. We can also deliver as a one-off build with a handover and documentation package.
What size business is this designed for? +
Our AI Lakehouse is purpose-built for Australian SMEs — typically businesses with 10–500 staff who are ready to use AI seriously but don't have an internal data team. We deliver enterprise-grade data infrastructure at SME prices, with no need for a full-time data engineer.
We already have dashboards and reports. How is this different? +
Traditional dashboards show you what happened. An AI Lakehouse lets you ask why it happened, what's likely to happen next, and what you should do about it — in plain English. It's the difference between a static report and a live conversation with your business data.