The commercial construction bidding process hasn't changed in 30 years. GCs still send thousands of emails. Subs still manage them in their inboxes. Suppliers still buy stale lead lists.
There's a better way. We're building it.
A GC sends 10,000 bid invites a month.
Then spends tens of thousands of dollars making follow-up calls to find out who's actually going to bid.
There's a real-time dashboard for that now.
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A GC sends 10,000 bid invites a month.
Each one lands in a Sub's inbox alongside hundreds of others. No context. Thin info. No easy way to decide.
Then the GC wonders why they're not getting responses.
Better data in = better responses out.
Every other major industry has a real-time data layer.
Finance has Bloomberg. Real estate has CoStar. Freight has project44.
Commercial construction's bidding phase is still running on email and gut feel.
That changes.
Suppliers spend billions every year buying lead lists that are weeks out of date.
Meanwhile, the actual source of truth — who's actively bidding a job right now — sits locked inside a GC's spreadsheet.
That gap is the business.
AI in construction doesn't have to mean robots or holograms.
It can just mean: a Sub forwards a bid invite, and within minutes has a go/no-go recommendation, key dates extracted, and their estimating calendar updated.
Practical AI wins.
Subcontractors bid less than 15% of the invitations they receive.
That's not laziness. That's signal. The ITB doesn't give them enough information to say yes with confidence.
Fix the information gap, and you fix the bid rate.
@ICON Secures More Than $200 Million In Series B Funding Led By @NorwestVP Venture Partners to Support Rapid Growth And Demand For 3D-Printed #Construction | @APNews@PRNewswire
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