Marketplace/Asset #2322UNDER NDA

AI data asset · anonymous listing

#2322

GranularNetSuiteQuickBooksMicrosoft 365
AI Data Asset Score10 interested parties
75/100
Potential data value
Assessment available after diligence
Licensing readiness
READY
Preferred structure
Time-limited pilot, renewable on outcome
Data room

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

Data overviewListed 2026-01-04
Industry
Agriculture
Region
United States
Company size
10–50 employees
Years operating
9+
Historical data
4 years
Estimated records
1.4M+ records
ERP
NetSuite
CRM
HubSpot
Approx. employees
38
Data types4 categories
  • Schedules
  • Procurement
  • Fulfilment
  • Financial Records
Workflow familiesDepth: excellent
  • Input planning and purchase
  • Harvest sequencing
  • Grading and pack-out decisions
  • Contract fulfilment

Cross-system connectivity

Granular → NetSuite → QuickBooks

Score composition75 / 100

Volume

1.4M+ records in scope.

85

weight 12

Historical depth

4 continuous years of operating history.

69

weight 12

Workflow complexity

Multi-step decisions with real exception handling.

90

weight 12

Cross-system connectivity

Records join across 4 systems on shared keys.

52

weight 11

Uniqueness

Agriculture operational reasoning is scarce in open corpora.

88

weight 10

Data quality

Structured fields are strong; free-text completeness varies by year.

70

weight 9

Outcome labels

Outcomes are recoverable from downstream records.

55

weight 9

Industry value

Active buyer demand for agriculture agents.

92

weight 8

AI-agent relevance

Tool-using, multi-system workflows suit agent training and evaluation.

64

weight 8

Licensing readiness

Marketing co-op agreements may apply.

88

weight 5

Privacy / de-identification complexity

Buyer contract terms.

84

weight 4

Why this asset scored 75

This agriculture asset covers 4 years of input planning and purchase and related decisions across Granular, NetSuite, QuickBooks. Scarcity is the strongest factor: this class of operational reasoning is largely absent from public corpora. The score is held back by de-identification work on party identifiers and uneven free-text completeness in earlier years.

Potential AI applications
  • Vertical AI agents
  • Supply-chain agents
  • Scheduling
Data rights & provenanceNot a legal determination

Ownership

Company-generated operational records in owned tenants.

READY

Source systems

Granular, NetSuite, QuickBooks, Microsoft 365.

READY

Third-party data

Agronomy service provider records.

REVIEW REQUIRED

Customer / client data

Buyer contract terms.

READY

Employee data

Approver identities appear in workflow audit trails.

REVIEW REQUIRED

Potential PII

Names and work contact details appear in free text.

READY

Contract restrictions

Marketing co-op agreements may apply.

REVIEW REQUIRED

Licensing permissions

Pending rights review.

NOT VERIFIED

Retention period

4 years retained; no scheduled destruction.

READY

Geographic restrictions

United States operations only.

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
MODERATE
Workflow complexity
HIGH
Cross-system connectivity
LOW
Industry uniqueness
HIGH
Data quality
MODERATE
Outcome labels
LOW
PII risk
LOW
De-identification difficulty
LOW
Licensing readiness
READY
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.