What data center documents does Primer support?

Primer processes offering memoranda, lease abstracts, power capacity reports, tenant schedules, colocation agreements, and interconnection data. If a human can read it, Primer can extract it.

Does Primer understand data center-specific metrics?

Yes. Primer extracts critical DC metrics including MW capacity, PUE ratings, rack counts, power redundancy levels (N+1, 2N), fiber connectivity, and utility rate structures.

How does Primer handle complex colocation leases?

Primer maps cabinet, cage, and suite-level lease terms including power allocations, cross-connect fees, and escalation schedules to your underwriting model.

Can it process hyperscaler build-to-suit documentation?

Yes. Primer handles hyperscaler BTS agreements, power delivery schedules, milestone-based financing, and complex lease structures common in large-scale deployments.

Data Centers

Underwrite data centers in minutes.

Primer extracts power capacity, lease terms, and tenant data into your exact model format.

Teams save 10+ hours per week on underwriting.

See it with your OMs How it works

Documents We Process

Offering Memoranda Colocation Agreements Power Reports Tenant Schedules Financials

Trusted by teams at

Ashburn VA-7 - Power Schedule

Capacity Summary

Metric

Value

Status

Critical MW

48.5 MW

●

Contracted

42.3 MW

●

Avg $/kW

$145/mo

●

PUE

1.25

●

Occupancy

87.2%

WALT

8.3 yrs

Redundancy

N+1

Power verified

More deals.

Same bandwidth.

Data center teams using Primer review 3x more opportunities with the same headcount.

Your Current Workflow

Data center deals per week

Hours extracting power/lease data per deal

Based on data center teams using Primer

With Primer

Additional deals reviewed

+28 per month

Deals you'd otherwise triage out

Hours back for analysis

76 per month

Book a demo

We'll use your actual OMs and model.

From OM to Model in Minutes

Upload your deal package. Get your model back, filled.

Drop Your Deal Package

DC docs we process

OMs Colocation Power Reports Financials

AI Extracts & Reconciles

What Primer does

Power Data Flags Conflicts Cites Sources

Your Model, Filled

Output format

Your Template (.xlsx) CSVs

Every value cited

Verify in seconds, not hours

All docs at once

OM + colocation + power report → one run

Live in 48 hours

One-time model mapping

Data center documents we process

If a human can read it, Primer can extract it.

Offering Memoranda

Power capacity, tenant schedules, lease terms, expansion rights, and market positioning.

Colocation Agreements

Cabinet/cage/suite leases, power allocations, cross-connect fees, and escalation schedules.

Power Capacity Reports

Critical load, redundancy levels (N+1, 2N), utility agreements, and UPS/generator specs.

Tenant Schedules

Power commitments per tenant, contract terms, renewal options, and credit profiles.

Operating Financials

Revenue by customer, power costs, PUE trends, maintenance expenses, and NOI.

Hyperscaler BTS Docs

Build-to-suit agreements, power delivery schedules, and milestone-based financing terms.

Why data center underwriting is different

Unique metrics and complex lease structures require specialized extraction.

Power-based economics

Data centers price by the kilowatt, not the square foot. Primer extracts MW capacity, $/kW rates, and power escalations that drive your underwriting model.

Complex tenant structures

From retail colocation to hyperscaler build-to-suits, tenant agreements vary wildly. Primer maps cabinet-level to campus-level leases into standardized formats.

Infrastructure dependencies

Power redundancy, fiber connectivity, cooling capacity, and utility agreements all impact value. Primer captures these technical specifications alongside financial data.

AI demand is accelerating

Hyperscaler and AI compute demand is driving unprecedented deal flow. Teams that can analyze more deals faster will capture the best opportunities.

Data center metrics we extract

Critical Power

$/kW

Rate Per kW

PUE

Efficiency Rating

N+1

Redundancy Level

WALT

Lease Term

Cross-connects

Interconnection

Expansion

Growth Capacity

Fiber

Carrier Density

Common

Questions.

How accurate is the extraction?

We maintain 98%+ accuracy by combining AI with deterministic validation rules. The system flags low-confidence fields for human review, so bad data never reaches your model.

98%+ Accuracy

Power Data 99.2% Match

Colocation Terms 98.5% Match

Tenant Schedule 97.9% Match

Does it work with my Excel model?

Yes. We map to YOUR existing Excel template during a one-time setup. Data flows directly into your format.

What DC docs work?

If a human can read it, Primer can extract it.

OMs

Colocation

Power Reports

Financials

How long to get started?

We can get your team live within 48 hours. One-time mapping of your Excel model, and you're ready to process deals.

Share your model

We map it (24h)

Go live

Partnered with

the industry's best.

"Borderline deals used to get deprioritized. Now we send them to Primer. We've put in offers on deals we probably would've passed on."

Doug Steverson

Chief Operating Officer at Boardwalk Storage

"Primer turns a 2-4 hour manual task into something that's done automatically. We get more BOVs out the door and ultimately win more listings."

Tom de Jong

Executive Vice President - Colliers

See Primer with your OMs

We'll show you your actual docs → your model.

Book a demo