Dataset opportunity
Coleintl — 法规记录数据集机会
由 Coleintl 持有的中等规模法规记录数据集，可用于法规 RAG 和合规 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
收购
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)
全球贸易管理市场规模在 2025 年达到 12.7 亿美元，预计复合年增长率为 8.1%。
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
法规记录数据集
Modality
文本
Sector
mobility
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待澄清 · PII/受监管
Buyer persona
RegTech 和合规 AI 供应商
Coleintl 持有专门的法规记录数据集，数据模式为文本，该数据集是从其广泛的报关和移动业务中汇编而成的。该数据集包含详细的交易数据、地理数据和法规备案信息，使其非常适合开发能够驾驭复杂的国际贸易合规规则的法规 RAG 系统。
该数据在全球贸易管理市场中具有极高的价值，该市场在 2025 年的估值为 12.7 亿美元，预计到 2034 年的复合年增长率将达到 8.1%。[1] 尽管存在数据匿名化和与专有系统集成等访问复杂性，但该数据集在创建先进的 AI 合规工具方面的稀有性和实际应用性提供了独特的竞争优势，证明了所需尽职调查的合理性。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据包含敏感的客户贸易信息，需要匿名化；海关数据受严格的法规合规性约束（CBSA/CBP）；专有 EDI 系统可能需要自定义提取层 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Coleintl 拥有包含广泛法规记录和合规历史的专有数据集，直接关联到真实的海关申报和全球运输数据。对于寻求构建能够驾驭复杂的国际贸易规则的先进法规 RAG 系统的 RegTech 和合规 AI 供应商来说，这是一个高价值资产。随着全球贸易管理市场的扩张，这个稀有的、多模态的数据集提供了创建自动化合规领域决定性竞争优势所需的真实基础。
See dimension details ↓- Dataset Specificity90
主导的“法规”，行业 mobility，3 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
定期
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适合法规 RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
AI 买家对专业数据构建全球贸易管理市场中的合规工具的需求很高，该市场正在经历强劲增长，复合年增长率为 8.1%。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
所有权=混合，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 个数据需求信号（0 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高，4 个近期外部信号 — 专有数据超出已货币化的部分
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
✓ 良好目标 — Cole International 是一个强有力的目标，因为其核心业务是报关和货运代理，这会产生有价值的法规和物流数据作为副产品，但没有证据表明它被作为核心产品出售。问题：该公司于 2025 年被 Mullen Group 收购，后者是一家规模更大的实体；这可能会使决策复杂化，但并不排除它。[10, 15]；他们提供客户门户进行跟踪和报告，这表明在某种程度上对其客户自己的数据进行了产品化，但这似乎是...
- Deep Qualification90
⚠ 需要审查 — Cole International 是一家服务型报关和物流公司，而非数据销售商。它持有高度相关但受限的、客户拥有的法规数据。Mullen Group 在 2025 年第二季度进行的重大收购是一个重要的公司触发因素，尽管数据访问和所有权仍然是主要挑战。[数据归公司客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “A new Deposco report shows brands cut inventory by 10.6 days during the second quarter while parcel inflation reached 12.8%.”
- “<p>As international trade accelerates, transparent pricing and automated compliance are becoming essential to maintaining customer trust, writes Peter MacLeod. Digital marketplaces have removed many of the traditional barriers to trading across borders, enabling sellers to reach customers in dozens of markets with comparatively little effort. But according to global trade compliance software company Avalara, the […]</p> <p>The post <a href="https://logisticsbusiness.com/transport-distribution/a-new-approach-to-cross-border-compliance/">A New Approach to Cross-Border Compliance</a> appear”
- “SCRM: Waldbrände in Südwesteuropa bedrohen auch Supply Chains”
Transaction data
该公司处理北美数千份海关申报，提供关于关税分类和产品估值数据的结构化数据，这对于培训贸易融资和合规模型至关重要。
Geospatial data
该数据集包含详细的全球运输数据，包括空运、海运和陆运货运，为供应链物流和运输时长提供了宝贵的见解，可用于风险分析平台。
Regulatory records
核心资产包括关于贸易法规、许可证和历史合规历史的广泛文本记录，为高精度法规 RAG 系统提供了基础知识库。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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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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