Transdatos — an AI lab for industries software left behind.
AI-driven platforms that compound — not another confined product.
Most consultancies will quote you $1M and 18 months. Most SaaS will lock you into another walled garden.
Transdatos is the third option — an AI lab built for engineering, AEC, civil, mining, resources, and state government in Australia and New Zealand. We design and build AI-driven platforms in weeks, not months, agent-led, senior-judged. The result is not another confined product to log into; it is the platform your industry eventually runs on.
Industries software has historically left behind.
AEC, civil engineering, resources, mining-tech, state-level government — adjacent industries with the same shape of problem. Large data. Real-world physics. Decisions that don't fit a generic SaaS lane. Sydney timezone.
The deepest current work sits in ANZ mining-tech — hundreds of millions of rows, 3D visualisation, AI reasoning over geology. That's the proof point, not the boundary. The same model serves anyone in the list above who recognises the signals below.
- The spreadsheet that hangs at 100,000 rows and the M365 patchwork around it.
- The Copilot rollout that did not move the work.
- The consultancy quote at $1M and 18 months for a custom application.
- The Claude Code prototype that stopped at 80% — the foundation too fragile to add features.
From problem to platform.
Five stages. Plain English. Every engagement walks through them.
| STAGE | WHAT HAPPENS |
|---|---|
| § 01 Hear the problem | Intake, qualifying call, paid Discovery Sprint. The real problem usually sits underneath the surface ask. |
| § 02 Lay the foundation | Data, structure, architecture, integrations. Fixed first, before features. |
| § 03 Shape the experience | UI-first prototype using HTML and agentic AI. Iterated and signed off before any backend gets built. |
| § 04 Ship the product | Fixed-fee build, bi-weekly demos, the agentic delivery loop visible throughout. |
| § 05 Compound the platform | Product Partnership phase. The product becomes a platform; the platform connects to the rest of the industry's systems. |
Five principles sit underneath
- § 01 Build the platform, not the product.
- § 02 Foundation before features.
- § 03 Visible AI leverage, not hidden process.
- § 04 Senior judgement on demand, not throughput.
- § 05 Partner, do not extract. Client owns the IP.
Four offers under one cadence.
Custom AI-Native Applications
Design and build of a custom web application, with AI and your data wired in from day one. Premium interface, real engineering depth, agentic delivery as the speed multiplier. The flagship.
Product Partnership
The long-term engineering and AI team after the build. Continuous feature work, AI-layer operations, product maintenance, and — where it makes sense — co-build of internal IP into a market product.
Data Foundation
Agentic-AI-led restructuring of data that has outgrown spreadsheets and SharePoint. Pipeline design, query work, mining of unstructured data, migration to an architecture a real product can sit on.
AI Strategy, Advisory & Enablement
A seat at your strategy table, written strategy work, or hands-on workshops that teach what we ship — Claude Code masterclasses, data architecture for AI, executive AI-readiness sessions.
Five differentiators, in order of strategic importance.
Compounding platforms, not confined products
Vertical platforms that connect to the rest of the industry's systems, scale with use, and lift the sector — not horizontal tools serving every industry shallowly.
Built for industries software left behind
Engineering, AEC, civil, mining, resources, state government. Most peers chase fintech and consumer SaaS — and cannot honestly claim depth in these sectors.
Agent-led delivery, senior humans on demand
Not “we use AI” — every consultancy says that. The difference is structural: a team of agents with a cofounder, operated under production discipline. Agents are the unit of execution; senior humans are the escalation path.
Industry uplift, partnership without IP extraction
Client owns the IP. Transdatos earns from delivery, retainers, and shared upside on third-party commercialisation. Margin does not depend on owning the artefact, it depends on operating the team that produced it.
We refuse to make labour the unit of work
The standard consultancy model bills smart graduates as cheap hourly labour. We reject the framing entirely — labour is no longer the unit of work. Transdatos orchestrates agents under production discipline; senior humans come in for judgement.
From the first call to long-term partnership.
| STAGE | WHAT HAPPENS | COST |
|---|---|---|
| § 00 | Intake → 30-minute qualifying call with the founder | Free |
| § 01 | Discovery Sprint (1–2 weeks) — solution architecture, delivery plan, fixed-fee build quote | $25–40k AUD |
| § 02 | UI prototype and sign-off (1–2 weeks) | Included in build |
| § 03 | End-to-end build (6–22 weeks), bi-weekly demos | Fixed-fee per Sprint quote |
| § 04 | Handover and launch (1–2 weeks) | Included |
| § 05 | Product Partnership (ongoing) | $30k+ AUD/month, 3-mo minimum |