Marketplace/Asset #1047LISTED

AI data asset · anonymous listing

#1047

ProcoreQuickBooksSalesforceMicrosoft 365
AI Data Asset Score9 interested parties
87/100
Potential data value
Assessment available after diligence
Licensing readiness
REVIEW REQUIRED
Preferred structure
Non-exclusive, annual license with usage reporting
Data room

Seller identity is never disclosed at this stage. Introduction requires buyer qualification, seller approval and executed confidentiality.

Data overviewListed 2026-07-14
Industry
Commercial Construction
Region
United States
Company size
100–500 employees
Years operating
12+
Historical data
8 years
Estimated records
35,000+ project records
ERP
QuickBooks
CRM
Salesforce
Approx. employees
340
Data types10 categories
  • Project Management
  • Estimates
  • Change Orders
  • RFIs
  • Invoices
  • Schedules
  • Procurement
  • Customer Relationships
  • Project Outcomes
  • Financial Records
Workflow familiesDepth: excellent
  • Bid-to-award estimating
  • Change-order review and approval
  • RFI routing and resolution
  • Subcontractor procurement
  • Progress billing

Cross-system connectivity

Procore → Salesforce → QuickBooks → Microsoft 365

Score composition87 / 100

Volume

35,000+ project records across eight fiscal years.

88

weight 12

Historical depth

Continuous history since 2018 with no system migration gaps.

92

weight 12

Workflow complexity

Multi-party approval chains with real exception handling.

94

weight 12

Cross-system connectivity

Records join cleanly across four systems on project and vendor keys.

90

weight 11

Uniqueness

Commercial construction operations are largely absent from open corpora.

91

weight 10

Data quality

Field completeness is strong; free-text notes are inconsistent pre-2020.

82

weight 9

Outcome labels

Won/lost bids, margin variance and schedule slip are all recoverable.

89

weight 9

Industry value

High buyer demand for construction vertical agents.

90

weight 8

AI-agent relevance

Long-horizon, tool-using workflows map directly to agent evaluation.

93

weight 8

Licensing readiness

Owner-master agreements require review for downstream AI use.

62

weight 5

Privacy / de-identification complexity

Client and subcontractor identifiers require de-identification.

70

weight 4

Why this asset scored 87

This asset scores in the top decile because it pairs unusual historical depth with genuine cross-system connectivity: the same project can be traced from estimate through change order, procurement and final invoice. Outcome labels are recoverable, which makes the asset suitable for evaluation as well as training. The score is held below 90 by licensing readiness — owner master agreements have not yet been reviewed for downstream AI use — and by moderate de-identification effort on client and subcontractor identifiers.

Potential AI applications
  • Construction AI agents
  • Project management agents
  • Estimating
  • Cost forecasting
  • Change-order analysis
  • Procurement automation
  • Scheduling
  • Financial workflow agents
Data rights & provenanceNot a legal determination

Ownership

Company-generated operational records held in owned tenants.

READY

Source systems

Procore, QuickBooks, Salesforce, Microsoft 365.

READY

Third-party data

Subcontractor submittals present in RFI threads.

REVIEW REQUIRED

Customer / client data

Owner entities named in contract documents.

REVIEW REQUIRED

Employee data

Approver identities appear in workflow audit trails.

REVIEW REQUIRED

Potential PII

Names and work emails in comment threads.

REVIEW REQUIRED

Contract restrictions

Owner master agreements not yet reviewed.

NOT VERIFIED

Licensing permissions

Pending rights review.

NOT VERIFIED

Retention period

Eight years retained; no scheduled destruction.

READY

Geographic restrictions

US-only operations; no cross-border transfer issues identified.

READY

Intended AI use

Seller prefers training plus evaluation, no resale.

REVIEW REQUIRED

De-identification requirements

Entity and person pseudonymisation required pre-sample.

REVIEW REQUIRED

Status indicators reflect seller-reported information and SentryRights screening only. No asset is represented as legally licensable until rights and privacy diligence is completed with the seller and, where applicable, its counsel.

Demo data — illustrative sample listings, not live marketplace records

Data readiness
Volume
HIGH
Historical depth
HIGH
Workflow complexity
HIGH
Cross-system connectivity
HIGH
Industry uniqueness
HIGH
Data quality
HIGH
Outcome labels
HIGH
PII risk
MODERATE
De-identification difficulty
MODERATE
Licensing readiness
REVIEW REQUIRED
Introduction process
  1. 1

    Buyer submits request

    Identity, funding stage and entity are verified before the request moves.

  2. 2

    Buyer provides intended use

    Specific model, application and downstream distribution limits stated in writing.

  3. 3

    Platform reviews buyer

    SentryRights qualifies the buyer and screens the intended use against seller preferences.

  4. 4

    Seller receives request

    Seller sees the buyer profile and intended use while remaining anonymous.

  5. 5

    Seller approves or declines

    No identity is disclosed without an explicit seller approval.

  6. 6

    NDA / confidentiality

    Mutual confidentiality executed through the platform.

  7. 7

    Identity revealed

    Counterparties are introduced only at this point.

  8. 8

    Data diligence begins

    Rights review, privacy review and de-identification are coordinated by SentryRights.