Building the market-intelligence layer industrial sales teams have been missing.
The harder question is not “who could buy?” It is “what is changing, why might it matter and when should we engage?”
Account data is not market timing.
Industrial sellers can spend hours finding accounts and contacts while the evidence of change remains fragmented across public records, company activity and the project ecosystem.
Demand Range starts by connecting that evidence into analyst-led opportunity records. Repeatable software is a later stage—only after paid use, trust and sufficient market coverage justify it.
Trust before automation.
The current offer is a service. The longer-term direction is shaped by what real customer use proves useful.
Analyst-led intelligence
Defined markets, sourced evidence, human qualification and practical briefs.
Repeatable software
Only where recurring work and customer feedback support a trustworthy workflow.
Broader market layer
Category and geographic expansion when the playbook and evidence coverage are ready.
Ireland first. One market at a time.
Each engagement is a focused proving ground: one product category, one territory, across food, beverage, pharma, chemical, water and manufacturing facilities. Coverage depends on an agreed category playbook.
Show the evidence
Make the supporting record accessible and separate it from interpretation.
Make uncertainty visible
Unknowns and review dates matter as much as a prioritisation score.
Protect customer trust
Use outcomes only where the client shares them; never present confidential information as market evidence.
Measure predictions
Review the thesis against outcomes rather than rewarding research volume.
Let use shape software
Build future tooling from proven workflows, not from a premature platform claim.
Build durable memory
Create a market asset that improves through governed feedback—not an activity factory.
Bring a market worth understanding better.
We will tell you whether the current analyst-led approach is a fit.