Dataset opportunity
Coleintl — Regulatory Records Dataset Opportunity
Moderate regulatory records dataset held by Coleintl, usable for Regulatory RAG and Compliance Copilots.
Score
64.4
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
Acquire
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 size (indicative estimate)
Global Trade Management market size reached USD 1.27 billion in 2025, projected to grow at a CAGR of 8.1%.
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-03
Retailers are heading into Peak Season with leaner inventories, notes Deposco
logisticsmgmt.com ↗ - 📰press2026-08-03
A New Approach to Cross-Border Compliance
logisticsbusiness.com ↗ - 📰press2026-08-03
SCRM: Waldbrände in Südwesteuropa bedrohen auch Supply Chains
logistik-heute.de ↗ - 📰press2026-07-31
Federated Hermes granted Poole planning consent
logisticsmanager.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.
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
Coleintl holds a specialized Regulatory Records Dataset in Text modality, compiled from its extensive customs brokerage and mobility operations. This dataset contains granular transaction_data, geo_data, and regulatory filing information, making it exceptionally well-suited for developing a Regulatory RAG system capable of navigating complex international trade compliance rules.
This data is highly valuable within the Global Trade Management market, which was valued at USD 1.27 billion in 2025 and is projected to grow at a CAGR of 8.1% through 2034. [1] Despite access complexities such as the need for data anonymization and integration with proprietary systems, the rarity and real-world applicability of this dataset for creating advanced AI compliance tools offer a distinct competitive advantage, justifying the required due diligence. ⚠ Diligence (valuable data, access to negotiate): Data includes sensitive client trade information requiring anonymization; Customs data is subject to strict regulatory compliance (CBSA/CBP); Proprietary EDI systems may require custom extraction layers · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Evidence confirms Coleintl possesses a proprietary dataset of extensive regulatory records and compliance history, directly linked to real-world customs entries and global shipping data. This is a high-value asset for RegTech and compliance-AI vendors seeking to build advanced Regulatory RAG systems that can navigate complex international trade rules. As the Global Trade Management market expands, this rare, multi-modal dataset provides the ground truth needed to create a definitive competitive advantage in automated compliance.
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 Demand85
AI buyer demand is high for specialized data to build compliance tools in the Global Trade Management market, which is experiencing robust growth with an 8.1% CAGR. [1]
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
medium difficulty, independent
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 Independence90
independent
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 data-appetite signals (0 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high, 4 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 Audit92
✓ good target — Cole International is a strong target as its core business is customs brokerage and freight forwarding, which generates valuable regulatory and logistics data as a by-product without evidence of it being sold as a core product. Issues: The company was acquired by Mullen Group in 2025, which is a larger entity; this might complicate decision-making but does not disqualify it. [10, 15]; They offer a client portal for tracking and reporting, which indicates some level of data productization for their clients' own data, but this appears to be a f
- Deep Qualification90
⚠ needs review — Cole International is a service-based customs brokerage and logistics firm, not a data seller. It holds highly relevant but restricted, customer-owned regulatory data. A major acquisition by Mullen Group in Q2 2025 serves as a significant corporate trigger, though data access and ownership remain primary challenges. [data is owned by the company's customers; licensing restricted]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
The company processes thousands of customs entries across North America, providing structured data on tariff classifications and product valuation data essential for training trade finance and compliance models.
Geospatial data
This dataset includes structured global shipping data detailing air, ocean, and ground freight movements, offering valuable insights into supply chain logistics and transit durations for risk analysis platforms.
Regulatory records
The core asset consists of extensive text-based records on trade regulations, permits, and historical compliance history, providing the foundational knowledge base for a high-accuracy Regulatory RAG system.
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
Coleintl Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global Trade Management market size reached USD 1.27 billion in 2025, projected to grow at a CAGR of 8.1% (source: IMARC Group). [1]. Investment score 64.4/100 (confidence 0.49). Recommended action: Acquire.
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