The operating system for opportunity
From public signal to commercial next step.
A focused workflow that discovers possible projects, builds the evidence, qualifies the fit and gives your team somewhere to act.
DiscoverSearch multiple public signals against your configured market.
ResearchCapture planning history, status, evidence and organisations.
QualifyScore fit and explain why the opportunity matters.
ActRecommend the most useful next commercial step.
ManageClaim ownership, log activity and schedule follow-up.
Interface-led proof
A worked opportunity, not a feature list.
The example reflects a realistic phased hotel-development research journey: a planning reference and project stage are connected to source evidence, organisations, a transparent score and an action.
- Developer, architect, contractor and consultant records where available
- Public URLs preserved alongside the claims they support
- Planning history, current status and material changes
- Dedicated “Research this project” control for deeper investigation
- Paid deep-research output retained for reprocessing without another OpenAI request
OverviewOpportunityOrganisationsEvidenceActivity
Riverside hotel & mixed-use development
Est. value£28m
StagePre-construction
Planning ref.2025/1842
84
Recommended next action
Approach architect before specification review
Approach architect before specification review
Evidence 03 · Planning committee update confirms revised phased delivery. Public source recorded. View source
Deliberate deeper research, when it is worth it.
Not every lead needs the same depth. A user can deliberately trigger “Research this project” for a promising opportunity. The expanded result is preserved so the system can reprocess it later without paying for another OpenAI request.
AI-assisted research is evidence-led but should still be reviewed by a person before commercial decisions are made.