Dataset opportunity
Porath — 法规记录数据集机会
Porath 持有的中等规模法规记录数据集，可用于法规 RAG 和合规助手。
Score
67.5
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
56%
Action
数据共享协议
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
全球海关申报软件市场在 2025 年的估值为 28 亿美元，预计将以 9.1% 的复合年增长率增长（2026-2034 年）（来源：Dataintelo）。
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.
Profile
Dataset profile
Type
法规记录数据集
Modality
文本
Sector
mobility
Volume
中等
Freshness
实时
Rarity
中等
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（PII 审查）
Buyer persona
RegTech 和合规 AI 供应商
Porath 持有一个专有的法规记录数据集，该数据集由海关申报单、事件流和交易数据中的文本模态证据组成。这些丰富、结构化和半结构化的信息是开发和微调法规 RAG 系统的理想资产，使其能够准确回答有关海关合规和国际贸易法规的复杂查询。
全球海关申报软件市场（本数据直接驱动该市场）在 2025 年的估值为28 亿美元，预计将以9.1% 的复合年增长率增长。尽管存在 PII 需要匿名化以及与客户共享数据所有权等访问复杂性，但该聚合数据集的稀有性和深度提供了显著的竞争优势，使得获取该数据集的谈判成为领先的 AI 驱动合规解决方案的值得进行的投资。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据包含需要匿名化的 PII（姓名、地址）；所有权与客户（申报人）共享，需要特定的使用权才能进行聚合；属于海关支持集团的一部分；决策可能在集团层面集中。· 公司：海关支持集团的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Porath 拥有一个高容量的专有数据集，包含16 个国家/地区每年超过400 万份海关申报单。该数据通过在海关分类和关税优化方面的深入实践专业知识得到了独特的丰富，使其成为训练复杂的法规 RAG 模型的首选资产。在全球海关软件市场预计每年增长超过 9% 的情况下，该数据集为寻求自动化合规的 AI 供应商提供了关键优势，尤其是在即将到来的HS 2028 更新创造了对智能解决方案的新需求的情况下。
See dimension details ↓- Dataset Specificity90
占主导地位的“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 Rarity58
专有领域数据（公开数据会降低稀有度）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume58
4 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于法规 RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
AI 买家需求强劲，这得益于在以 9.1% 的强劲复合年增长率增长的海关和贸易合规市场中为解决方案提供支持的专有数据的需求。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility14
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility33
中等难度，海关支持集团的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength74
4 种证据类型，4 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
所有权=混合，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
海关支持集团的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 个数据胃口信号（2 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，5 个近期外部信号 — 超出已货币化数据的专有数据
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 — Porath 是一个理想的目标；它是一家历史悠久的报关行，其核心业务是提供物流和报关服务，由此产生的有价值的专有法规和运输记录数据集似乎未被货币化。问题：该公司于 2022 年被更大的海关支持集团收购，这可能会使谈判复杂化，或者意味着数据现在正在集团层面进行聚合；母集团海关支持拥有 1700 多名员工，因此 Porath 本身可能不再作为完全独立的تنظيم运营。[4]
- Deep Qualification30
⚠ 需要审查 — 虽然目标拥有一个完全连贯的数据集，但该数据集是客户拥有的且受到合同限制，这使得第三方 AI 培训权的谈判异常困难，因为它需要获得其 60,000 多名客户中每一位的同意。[数据由公司客户拥有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Public datasets
这些证据表明持有者对国际贸易的基础公共数据集有深入的了解，证明他们意识到了即将到来的HS 2028 更新等关键市场变化。
Transaction data
持有者处理大量的专有交易数据，每年超过400 万份申报单，为培训和验证合规模型提供了大规模、多司法管辖区的地面实况来源。
Regulatory records
这段文本展示了数据中嵌入的监管专业知识，显示了在海关分类方面的专业知识，这对于构建能够处理复杂、行业特定合规规则的 AI 来说是无价的。
Event streams
持有者从其运营系统中捕获实时事件流，提供国际交易的时间序列视图，非常适合开发专注于绩效管理和预测风险评估的模型。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Porath Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global customs declaration software market was valued at $2.8 billion in 2025, projected to grow at a 9.1% CAGR (2026-2034) (source: Dataintelo).. Investment score 67.5/100 (confidence 0.56). Recommended action: Data Sharing Agreement.
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