Sound familiar?
The hard part isn't the decision. It's getting to it.
Every project means re-researching the same states.
Utility territories, incentive programs and environmental records differ everywhere. You rebuild the picture for each client.
Brownfields get cut because they're hard to vet.
Former industrial sites often have the power, rail and zoning your client needs. Verifying their history eats the timeline.
One missed fact can sink a recommendation.
A deed restriction or open enforcement case found late costs you credibility with the client.
What changes
From chasing records to making the call.
Today
- Long lists narrowed by hand, one portal at a time
- Brownfield sites dropped for lack of time to vet them
- Findings that are hard to trace back to a source
- Research repeated from project to project
With Brownfield AI
- Client criteria applied across regions in minutes
- Former industrial sites vetted, not skipped
- Every finding linked to the record behind it
- Deliverables your client can check for themselves
Ask it like you'd ask a colleague
Questions site selectors answer in minutes.
Every answer comes back with the public record it came from, so you can check it, cite it and share it.
Screening“Which sites have 100+ acres, 50 MW and Class I rail within 5 miles?”
Environmental“Are there open enforcement actions at any shortlisted site?”
Incentives“Which states offer brownfield tax credits for this project type?”
Zoning“Which parcels are already zoned for heavy industrial?”
Water“What's the available water capacity at each finalist?”
Risk“What would a Phase I likely flag at site 4?”
How site selectors use Brownfield AI