Know every data center before your competitors.
Overview
CT Intelligent Prospecting
A vertical intelligence platform that tracks US data center construction, maps procurement timelines to your product catalog, and generates qualified leads — so your sales team is first to the table.
The Problem
Three Critical Gaps
Your sales team is flying blind.
Late Discovery
By the time your team finds a project in the news, the GC has already shortlisted suppliers. Utility interconnection requests — the earliest signal — happen 12-18 months before construction. Nobody is tracking them.
Scattered Intelligence
Project data lives in county permits, zoning filings, SEC reports, earnings calls, and trade press. No single source connects them. Your reps spend hours Googling instead of selling.
No Product-Project Mapping
Even when a project is found, nobody calculates: “A 200MW campus needs ~40 generators, 120 PDUs, and 800 tons of cooling.” The equipment gap between project data and your catalog stays unbridged.
The Solution
Four layers of intelligence.
Data Acquisition
Scrape permits, utility filings, SEC reports, and trade press. Integrate paid APIs for comprehensive coverage across 2,000+ jurisdictions.
AI Processing
Claude API parses unstructured announcements into structured records: location, MW capacity, owner, GC, MEP subs, timeline, and project stage.
Product Matching
Estimate equipment BOMs by MW capacity. Map each project's needs to customer catalogs. Prioritize by timing, geography, and competitive landscape.
Sales Activation
Find decision-makers at GCs and MEP subs. Generate personalized outreach. Push qualified leads into Salesforce with full context attached.
Product Preview
Dashboard Overview
Real-time pipeline intelligence at a glance.
Recent Projects
Google Midlothian Campus
Pre-ConMicrosoft Boydton Expansion
ActiveStargate — Abilene Phase 1
PlanningMeta DeKalb County DC
Pre-ConProject Detail
Google Midlothian Campus
Deep-dive into a single project with contacts, equipment matching, and AI-generated briefs.
Project Timeline
Key Contacts
Equipment Match
92% catalog match| Equipment | Qty | Est. Value |
|---|---|---|
| Backup Generators (2MW) | x40 units | $18.4M |
| Medium-Voltage Switchgear | x24 units | $7.2M |
| Precision Cooling Units | x160 units | $12.8M |
| UPS Systems (500kVA) | x32 units | $4.1M |
| Power Distribution Units | x480 units | $3.6M |
AI Prospect Brief
Google's Midlothian campus is their 3rd Texas facility, driven by AI compute demand for Gemini training clusters. Turner is the GC, with Comfort Systems USA handling MEP. Procurement window for electrical equipment opens Q2 2026 — 14 weeks out. Turner has historically sourced switchgear from Eaton and Schneider; a competitive bid with 8-week lead time could displace. Recommend targeting Rachel Martinez (VP Procurement) with a site-specific proposal referencing your work on the Mayes County, OK Google campus.
Market Context
Industry Landscape
A $104B opportunity accelerating.
Top General Contractors — Active DC Projects
| General Contractor | Active Projects |
|---|---|
| Turner | 18 |
| Whiting-Turner | 15 |
| DPR | 12 |
| McCarthy | 10 |
| Mortenson | 9 |
| Michels | 7 |
US Concentration by Region
Key Drivers: Google, Microsoft, Amazon, Meta, and Oracle/OpenAI (Stargate) are all expanding US data center footprints to support AI workloads.
Why CT Intelligent Prospecting
Competitive Advantages
Earliest Signal Capture
Utility interconnection requests surface 12-18 months before construction starts. We monitor public utility commission filings — the earliest possible indicator — so your team engages before competitors even know a project exists.
Product-to-Project Intelligence
No other platform maps “200MW campus” to “40 generators + 120 PDUs + 800 tons cooling” and then matches those needs against your specific catalog. This is the bridge between construction intelligence and manufacturing sales.
AI-Native from Day 1
Claude API handles unstructured-to-structured conversion, BOM estimation, prospect briefs, and personalized outreach — no regex, no manual tagging. The intelligence layer improves with every project processed.
Technology
Technology Stack
Modern, scalable architecture built for data-intensive intelligence.
Implementation
Roadmap
- •Python scraper for DC news feeds (Construction Dive, DCK)
- •Claude pipeline: announcements → structured JSON
- •PostgreSQL schema with core project model
- •React dashboard: map + table + basic filters
- •Manual product mapping for 1-2 pilot customers
- •Integrate Shovels.ai / ConstructConnect API
- •Contact enrichment via PDL / Hunter.io
- •Automated project stage classification
- •Equipment BOM estimation by MW capacity
- •Email alerts for customer-matched projects
- •AI-generated prospect briefs per project
- •Outreach sequence builder with personalization
- •Salesforce integration for qualified lead push
- •Analytics: pipeline value, win rates, coverage gaps
- •Multi-customer support & catalog management
Get Started
Let's build CT
Intelligent Prospecting.
The data center boom isn't slowing down. The question is whether our customers find these projects first — or their competitors do.
CT Intelligent Prospecting — Data Center Intelligence | Customertimes