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.
"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.
Define: Frame the question precisely, and agree what a useful answer looks like.
Evidence: Assemble the datasets, records and operational information the question needs.
Analysis: Trends, timelines, patterns and the factors behind different outcomes.
Validation: Findings tested against real projects and practitioner experience.
Recommendations: Practical implications, stated plainly, with limitations disclosed.
Implementation: Where the answer warrants it: a prototype, a pilot or a running system.
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.
Commissioned research, in plain answers.
What is Research as a Service?
Commissioned research delivered by a construction technology company rather than a consultancy. You bring a question the industry has not answered; Cyberate agrees the method and scope up front, runs the fieldwork or data analysis on real operational data, and delivers findings you can act on. Where the finding warrants it, the same team can build the system that acts on it.
How is this different from hiring a research consultancy?
A consultancy stops at recommendations. Cyberate sits inside a working development, construction and supply group, so the research runs on live operational data rather than surveys alone, and the delivery path from finding to running system stays open. The engineering that would normally be a separate procurement is the same team.
Who commissions research from Cyberate?
Developers, builders, building-product manufacturers, government bodies and industry associations, typically when a decision depends on evidence that does not exist yet, or when a funding application needs a credible research partner.
Can Cyberate support a government funding application?
Yes. Cyberate works across the innovation chain, from framing the research question and arranging university partnership through funding programs such as ARC Linkage, the Australian Economic Accelerator and CRC-P, to prototypes and commercialised systems.
How is a commissioned research engagement scoped?
Question, then method, then fieldwork and data, then report. Approach, deliverables, timeline and the division of work between your team and ours are agreed before any work begins.
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.