A dataset built for the task
Agreed records, stable identifiers, consistent units and relevant attributes. For example: product specifications, pricing observations, research findings or operational records.
← Our offering
IRONBAY DATA / 01
Custom data products
The information you need. In a form you can use.
Give your AI systems and business teams a consistent foundation for a specific decision. We turn specialist sources and business information into structured, documented data products shaped around your workflow.
01 / TANGIBLE DELIVERABLES
What you receive.
A defined deliverable that your analysts can inspect, your teams can use and your systems can interpret. Coverage, fields and delivery are agreed around the task.
HOW IT WORKS
From separate sources to one usable data product.
Select the sources and fields needed for the decision.
Product specifications
Supplier pricing
Internal records
Align identifiers, units and definitions. Flag gaps for review.
A consistent record
IdentifierP-42
Pressure / bar40
Price / EUR128.00
SourceS-01
Consistent fields · Documented meaning
Deliver the same documented facts to your teams and AI workflows.
FOR YOUR TEAMS
Comparison report + exportsFOR YOUR AI
Structured records + field definitionsDefinitions and source evidence
A field dictionary, inclusion criteria, observation dates and source references. Missing values and uncertainties are visible, so users know what each record can support.
A report your team can work with
A client workspace with a report tailored to the brief, relevant filters and agreed table or chart views. CSV, Excel and PDF outputs support analysis and internal circulation.
A clear handover
A walkthrough of coverage, quality checks and intended use. Structured files provide a starting point for your AI workflow; database or API delivery can be scoped to your environment.
02 / FROM BRIEF TO USE
A comparable product dataset for a distributor.
- The brief
- Sales needs to compare suitable components across suppliers. Finance needs prices on a consistent basis. An AI quotation assistant needs the same specifications and evidence.
- The delivery
- A product table with supplier IDs, pressure ratings, materials, unit prices, currencies, price dates and source references. A comparison report highlights missing specifications and pricing conditions for review.
- In the workflow
- Sales prepares a shortlist, finance checks the commercial assumptions, and the AI assistant retrieves the relevant records with their source context. A specialist approves the final selection.
DELIVERABLE PREVIEWIB / 01
COMPONENT COMPARISON
Same fields. A clear basis.
| Product | Pressure | Price | Source |
|---|---|---|---|
| P-42 | 40 bar | €128.00 | S-01 |
| P-67 | 60 bar | €164.00 | S-02 |
| P-81 | Review | €139.00 | S-03 |
- Price observation
- 01.11.2026
- Supporting files
- Field dictionary · Source register
Missing specification flagged for review.
03 / ACROSS YOUR BUSINESS
For the teams making decisions. And the systems behind them.
The brief determines the product. These examples show how the same approach supports different teams and the AI tools they work with.
Executive & strategy
Compare opportunities on the same basis.
Receive a market evidence pack with agreed segments, coverage, indicators and source dates. Strategy teams can compare expansion scenarios, while an AI research assistant draws on the same defined facts.
Finance & procurement
Bring clarity to cost comparisons.
Receive a structured view of supplier quotes, units, currencies, terms and validity dates. Finance can review assumptions consistently, and an internal assistant can retrieve the evidence behind a comparison.
Sales & revenue
Prepare a better-informed shortlist.
Receive product, account or opportunity records organised around your qualification criteria. Sales teams inspect fit and gaps; AI assistants use the documented fields to prepare research and briefing drafts.
Marketing & insights
Build a defensible market view.
Receive a category and competitor dataset with consistent attributes, positioning evidence and observation dates. Analysts explore segments, and AI tools use the same context to support campaign planning.
For your people
A readable report, filters and exportable tables make the information useful in planning, analysis and day-to-day decisions. Definitions and source notes travel with the data.
For your AI systems
Stable IDs, explicit field meanings and source references give your retrieval and agentic workflows usable inputs. The data product supplies the context; your application defines how it is used.
04 / A FOCUSED FIRST ENGAGEMENT
Start with one question your team needs to answer.
- 01
Choose the decision, users and required coverage.
- 02
Agree a small sample, field definitions and acceptance criteria.
- 03
Deliver the prepared product, then define any ongoing updates.
PRACTICAL QUESTIONS
Before we begin.
Can you combine our data with external information?
Yes. An engagement can combine your authorised internal records with agreed external sources. We define identifiers, source coverage and access before preparation so the resulting records have a clear meaning.
Does every project need an AI integration?
No. A report and structured exports can be the complete deliverable. The same data can support an AI integration when the use case and delivery requirements are defined.
Is this a one-off dataset or a maintained service?
Either can be agreed. A first project can deliver a prepared dataset. If recurring updates add value, we define a maintained service with a specific scope and refresh cadence.