AI-Powered Company Intelligence · Case study
Company research without the spreadsheet archaeology.
UK company research using Firecrawl, Companies House data, director networks and AI-ready extraction.
The product in motion
One system.
Every screen.
UK company research using Firecrawl, Companies House data, director networks and AI-ready extraction.
Desktop and mobile presentation · The product story stays clear at every size.
The problem
Company research without the spreadsheet archaeology.
Useful UK company intelligence was scattered across filings, websites and director relationships, forcing researchers to rebuild the same evidence trail repeatedly.
The job was to connect the public promise, user journey and operational reality rather than treating the website as an isolated layer.
Clarity
Make a complicated service understandable.
People needed to see the value and next action without learning the whole system.
Continuity
Carry the promise through the journey.
Marketing, product and operations needed the same priorities and language.
Delivery
Build for the team behind the product.
The system needed to remain usable, maintainable and ready for change.
The approach
Understand the whole system.
Then make it feel simple.
“Turn fragmented public records into a research trail people can follow.”
- 01
Map the real job
Start with users, goals, constraints and the work behind the interface.
- 02
Shape the story
Give each audience a clear route from question to next step.
- 03
Build the joined-up product
Connect content, data, interfaces and integrations.
- 04
Ship for continued use
Make the product responsive, maintainable and ready to evolve.
The complete system
More than a marketing website.
The public promise and working product use the same priorities and visual logic.
Company search and Director search and Saved work
- Company search
- Director search
- Saved work
Filings and Web evidence and Connected entities
- Filings
- Web evidence
- Connected entities
Structured records and Provenance and AI output
- Structured records
- Provenance
- AI output
Customer journey
From first need to useful outcome.
- 01Search
Start with a company or director.
- 02Inspect
Review filings, web evidence and key facts.
- 03Connect
Explore related officers and organisations.
- 04Use
Carry structured evidence into the next task.
What shipped
A complete experience built around the work it needs to do.
- Oneusable layer over fragmented public data
- Linkedcompany and director exploration
- Structuredrecords with source provenance
- Readyfor human and AI-assisted research
Need something equally joined up?
The website is only one part of the product.
I can help connect positioning, customer journey, software and infrastructure into one system.