Dataset opportunity
Nearnorthcustoms — Regulatory Records Dataset Opportunity
Moderate regulatory records dataset held by Nearnorthcustoms, usable for Regulatory RAG and Compliance Copilots.
Score
64.1
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
49%
Action
Partnership (group-level)
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market
Global Trade Management Software market = $2.7 billion in 2025, CAGR 12.0% (source: FMI)
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-07-17
2026 air cargo rates could rise 15% due to Iran war impacts
freightwaves.com ↗ - 📰press2026-07-17
Tariffs, Iran war prompt ocean shippers to scrap tradition: Los Angeles port head
supplychaindive.com ↗ - 📰press2026-07-16
4 ways tariffs and geopolitics are impacting commodity markets
supplychaindive.com ↗ - 📰press2026-07-16
US tags Brazil imports with 25% tariff
supplychaindive.com ↗ - 📰press2026-07-15
Osprey brand owner says high supply chain costs are outpacing IEEPA tariff refunds
supplychaindive.com ↗
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- ✨Signal
Focus on Trade Consulting and Compliance Audit data
source ↗
Profile
Dataset profile
Type
Regulatory Records Dataset
Modality
Text
Sector
mobility
Volume
Moderate
Freshness
Periodic
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify · PII/regulated
Buyer persona
RegTech & compliance-AI vendors
Nearnorthcustoms possesses a high-value Regulatory Records Dataset in Text modality, comprising extensive customs filings, transactional logs, and geo-data from its operations as a customs broker. This granular historical data, covering interactions with regulatory bodies like CBSA/CBP, is exceptionally well-suited for training a Regulatory RAG system, enabling it to accurately interpret and retrieve information on complex, real-world trade compliance scenarios.
This data is a strategic asset within the global Trade Management Software market, which was valued at $2.7 billion in 2025 and is projected to grow at a 12.0% CAGR. While access requires navigating group-level approvals from Livingston International and the careful handling of sensitive commercial trade information, the rarity and depth of this operational data are critical for building a competitive AI tool. The high growth of the market underscores the significant return on investment for securing such proprietary data. ⚠ Diligence (valuable data, access to negotiate): Acquired by Livingston International in 2016; data access likely requires group-level approval.; Data involves sensitive commercial trade information and regulatory filings (CBSA/CBP).; Ownership is mixed between client-specific transaction data and the broker's operational logs. · corporate: subsidiary of Livingston International.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Nearnorthcustoms owns a rare, proprietary dataset of historical trade compliance and regulatory enforcement actions. This is a high-value asset for RegTech and compliance-AI vendors building sophisticated Regulatory RAG systems to navigate complex global trade. In a Global Trade Management software market projected to reach $2.7 billion by 2025, this unique data provides the ground truth needed to train models that can anticipate audit risks, automate import/export documentation, and optimize duty recovery strategies.
See dimension details ↓- Dataset Specificity90
dominant 'regulatory', sector mobility, 3 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
periodic
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
fit for Regulatory RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI buyer demand is high, driven by the need for specialized regulatory data to capitalize on the Trade Management Software market's strong growth (12.0% CAGR).
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/regulated
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
high difficulty, subsidiary of Livingston International
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 evidence types, 3 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
ownership=mixed, licensing=rights_unclear
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
subsidiary of Livingston International
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 data-appetite signals (1 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high, 5 recent external signals — proprietary data beyond what's already monetised
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit100
✓ good target — Near North Customs is a perfect target as it's an established SME customs broker whose core business of facilitating cross-border trade generates a valuable by-product of regulatory and logistics data, which it does not appear to be monetizing as a product.
- Deep Qualification90
⚠ needs review — The target holds a plausible and valuable dataset, but as a subsidiary of Livingston International, data strategy is dictated at the group level, which is already actively pursuing AI initiatives and data monetization, making the data not 'dormant'. [licensing restricted]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
This evidence confirms the existence of granular transactional data detailing product-level import/export activities, which is essential for training AI on HS code classification and valuation.
Regulatory records
The dataset contains unique textual records of historical trade compliance events, including regulatory audits and duty recovery patterns, which is critical for building predictive risk models.
Geospatial data
This indicates the presence of logistics and freight forwarding data, valuable for supply chain optimization platforms seeking to model carrier performance and cross-border transit times.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Nearnorthcustoms Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global Trade Management Software market = $2.7 billion in 2025, CAGR 12.0% (source: FMI). Investment score 64.1/100 (confidence 0.49). Recommended action: Partnership (group-level).
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