RESEARCH · RESEARCH AS A SERVICE

Your question, backed by evidence.
Built into action.

Commissioned research for Australia's residential construction industry: operational data, academic rigour and practical experience, aimed at the questions that matter.

Commission research

Some questions don't have
an off-the-shelf answer.

Every organisation reaches questions that market reports and online searches cannot answer.

These are research questions, not software questions. And they deserve structured evidence.

• "Can this suburb actually support townhouse development?"
• "Why do our projects keep overrunning despite good planning?"
• "Which approval pathways consistently create delay?"
• "What really drives quotation conversion?"
• "How can AI improve our workflow without creating new risk?"
• "Should we invest in automation or hire more staff?"
• "What does our market look like five years from now?"

Six capabilities you can commission.

• Housing market intelligence: What the market rewards, and where it's heading. (Demand; Supply; Affordability; Market trends; Investment)
• Planning & development: How planning systems perform, measured on real records. (Development applications; Planning policy; Site feasibility; Approval performance; Urban growth)
• Construction operations: Where delivery leaks time and margin, and why. (Scheduling; Quoting; Labour; Productivity; Project delivery)
• Digital construction: What technology can genuinely do inside your workflow. (AI; Computer vision; Automation; Digital twin; Operational systems)
• Industry strategy: Evidence for the bets a business is about to make. (Technology adoption; Business transformation; Market positioning; Future trends)
• Data analytics: Your own data, turned into instruments you can steer by. (Dashboards; Predictive modelling; Performance analytics; Operational benchmarking)

Different questions
need different research.

• Strategic research: Long-term industry questions: white papers, market outlooks and the evidence base for policy and investment positions.
• Business research: Company-level decisions: market entry, product strategy, expansion and the numbers behind them.
• Operational research: Improving how work runs today: quoting, scheduling, construction delivery and process optimisation.
• Technology research: Validating what AI, machine learning, computer vision, automation and digital twins can do for your operation.

A method that doesn't stop at recommendations.

Most research ends where the report ends. Ours is scoped so the answer can keep travelling: into a prototype, a pilot, a system.

1. Define: Frame the question precisely, and agree what a useful answer looks like.
2. Evidence: Assemble the datasets, records and operational information the question needs.
3. Analysis: Trends, timelines, patterns and the factors behind different outcomes.
4. Validation: Findings tested against real projects and practitioner experience.
5. Recommendations: Practical implications, stated plainly, with limitations disclosed.
6. Implementation: Where the answer warrants it: a prototype, a pilot or a running system.

THE DIFFERENCE

Most organisations can do one.
We connect all five.

Industry data, academic research, live projects, software engineering and AI deployment: the full chain sits inside one company.

• Industry data: Live operational data from a working development and construction group.
• Academic research: University partnerships that bring method and rigour.
• Live projects: DDDI Group sites to pilot and prove findings on.
• Software engineering: A product team that turns findings into systems.
• AI deployment: Agents and models already running in production workflows.

Deliverables built for decisions,
not for shelves.

Every engagement is scoped to the decision it serves. Depending on the question, deliverables range from a brief to a working proof of concept.

• Research brief: The question, method and evidence plan, agreed before work begins.
• Data analysis: The evidence itself: sources, treatment and what it supports.
• Executive report: Findings and implications, written for the decision-makers.
• Working session: Landing the findings with your team, live.
• Dashboard: Where the question is ongoing: the answer as a living instrument.
• Software prototype: Where the answer should be tested in the workflow, not the appendix.
• AI proof of concept: Where the question is about what AI can do: a model you can judge.
• Implementation roadmap: The path from finding to running system, staged and costed.

Who commissions us.

• Developers: Feasibility, market and approval questions before capital commits.
• Builders: Delivery, scheduling and productivity questions from live jobs.
• Construction companies: Group-level performance, systems and transformation questions.
• Manufacturers: Demand, quoting and supply-chain questions.
• Government: Housing delivery, planning performance and policy evidence.
• Industry associations: Structured evidence for education and advocacy.
• Universities: Industry data, live pilots and co-funded projects.
• Research organisations: A partner that carries findings through to deployment.

BEYOND RESEARCH

Research is only valuable
if it creates change.

For questions worth a bigger investment, we help scope the research, find the university partner, pursue programs such as ARC Linkage, the Australian Economic Accelerator, CRC-P and state innovation grants, and carry the result through prototype to a commercial system.

We don't just study innovation. We help build it.

Innovation chain: research question, research partnership, government funding, applied research, prototype, operational system, commercialisation. Cyberate supports organisations across the full chain, from framing the question and securing programs such as ARC Linkage, the Australian Economic Accelerator and CRC-P, through to commercialised operational systems.

Let's answer something
the industry doesn't know yet.

Exploring a market opportunity, validating a technology, improving operations or preparing a government-funded research project: we're happy to discuss the question before proposing the research.

Talk to our research team