Solving business uncertainty through structured R&D pathways.
For Australian businesses with a project nobody can call yet — where the honest answer to “will this work?” is that no one knows, and it isn't clear whether the work is engineering or research.
An external research office in Adelaide, working alongside your R&D Tax Incentive adviser.
A researcher reads your enquiry · reply within two business days
Sound like you?
Five situations we hear most. Pick the one that is closest.
An AI or automation idea
“The demo works. Nobody can say whether it will hold up on our data, at the reliability we need.”
See this path →A software or workflow change
“Every system is proven on its own. No one has connected them in our environment.”
See this path →A system or process upgrade
“It worked at pilot scale. It failed on the line. We don’t know which step changed.”
See this path →A new product or process
“I can’t tell whether this is engineering or an experiment.”
See this path →A decision about whether to keep going
“We’ve put real money in already. Should we keep investing?”
See this path →
The gap we work in
From business problem to R&D pathway
There is a gap between “we have an uncertain project” and “we have a structured R&D program”. The work either side of it is well served: AI vendors want to build, tax agents want to claim, grant writers want to apply.
Ignition Research works inside that gap. We help you decide whether a project involves genuine technical uncertainty, structure it into research questions and testing logic, and set up the evidence and documentation before you commit further investment.
- Not an AI vendor — we don't sell you a build
- Not a tax agent — we don't promise claims or refunds
- Not a grant writer — we don't pitch funding outcomes
A six-step way to treat uncertainty like research
Frame → Design → Execute → Integrate → Govern → Return. Every step leaves a named output.
01
Frame
Research scope and a defined technical uncertainty
02
Design
Hypothesis register, experiment plan, validation metrics
03
Execute
Experiment runs and interim findings
04
Integrate
Specialist matching where the question needs it
05
Govern
Version-controlled documentation and an audit trail
06
Return
Validated findings, and claim-ready records where eligible
The incentive is an outcome of research done properly — not the starting point. See the full approach.
Where we can step in
Services organised by where your project is, not by what we know.
Assess
R&D Pathway Assessment
Is this project worth structuring as R&D? A first, low-commitment review.
How the assessment works →Design
R&D Pathway Design
Define what to test, how to test it, and what the pathway looks like.
How we design a pathway →Document
Research Documentation System
Set up the evidence log and records your project should keep from day one.
What we set up →Deliver
RSP-supported Research Delivery
Research governance, specialist coordination and documentation across the project cycle.
How delivery works →Navigate
Innovation Support Navigation
Understand whether R&DTI, CRC-P, CRC or Linkage pathways may be relevant — and what preparation they require.
See the pathways →Australian Government Registered · RSP000047
See the method, not just the claim
Our case studies are anonymised, so what is left is the part that matters: what was technically uncertain, what was tested, and what record the work produced.
Developing a Research Framework for Intelligent Financial Decision Systems
The Challenge Financial decision-making often depends on fragmented data, established models and professional judgement. The business was conducting risk assessment, client analysis, data integration and process automation across multiple financial and investment workflows. However,…
Read the case study →Building a Data-Driven Product Development Framework for Food Reformulation
The Challenge Food product reformulation rarely involves changing only one characteristic. Reducing or removing an additive may affect texture. Adjusting the formulation to recover texture may reduce microbiological stability. Extending shelf life may then…
Read the case study →Developing a Structured Research Framework for AI Software Innovation
The Challenge Many software and AI projects begin with a clear commercial objective but an uncertain technical path. The company knew the type of platform it wanted to create and the business processes it…
Read the case study →Registration covers nine research fields across four divisions, from artificial intelligence, data science and software engineering to civil, environmental and manufacturing engineering, building and urban planning. See the registered fields. Registration reflects assessed research capability — it does not make any project eligible for anything.
- 3302 Building
- 3304 Urban & Regional Planning
- 4005 Civil Engineering
- 4011 Environmental Engineering
- 4014 Manufacturing Engineering
- 4105 Pollution & Contamination
- 4602 Artificial Intelligence
- 4605 Data Science
- 4612 Software Engineering
Working with a registered RSP also changes how the $20,000 minimum R&D spend threshold applies — how the RSP exception works.
Learn before you commit
Education first — so you can judge the pathway yourself.
AI & Technical Improvement
Where AI and technical projects meet real uncertainty, by industry.
Read AI & technical insights →
R&D Pathway Education
When implementation becomes research — and how to structure it.
Read pathway explainers →
Innovation Support Pathways
R&DTI, RSP, CRC-P, CRC and Linkage, explained without the promises.
Explore support pathways →