Dataset opportunity
Smartcustoms — 法规记录数据集机会
由智能海关持有的中等规模监管记录数据集，可用于监管 RAG 和合规助手。
Score
60.1
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
42%
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)
全球贸易管理软件市场在 2025 年的估值为 27 亿美元，预计到 2036 年将达到 94 亿美元，复合年增长率为 12.0%（来源：FMI）。
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.
- 📣Press / announcement
更名为 'Smart Customs' 以强调智能和技术驱动的解决方案
source ↗
Profile
Dataset profile
Type
监管记录数据集
Modality
文本
Sector
出行
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确 · PII/受监管
Buyer persona
监管科技与合规人工智能供应商
Smartcustoms 持有一个由文本模态组成的监管记录数据集，其中包含来自广泛进出口商的汇总监管备案和交易数据。这些丰富、真实的实时数据经过结构化处理，可立即用于监管 RAG 系统，使 AI 模型能够准确地解释和生成基于复杂、真实的国际海关和贸易合规文件的响应。
全球贸易管理软件市场在 2025 年的估值为 27 亿美元，预计到 2036 年将达到 94 亿美元，复合年增长率 (CAGR) 为 12.0%。尽管由于客户数据所有权和严格的 HMRC 合规性存在访问复杂性，但该数据集的稀有性和商业敏感性——包括定价、供应商和贸易路线——使其对于寻求在自动化和优化全球贸易运营方面获得竞争优势的 AI 买家来说具有非凡的价值。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据主要归客户（进出口商）所有，但由代理机构汇总和处理；受严格的 HMRC 和税务监管合规性及保密性约束；包含敏感的商业信息，包括定价、供应商和贸易路线 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Smartcustoms 拥有英国海关程序及其相关监管要求的专有运营知识。该数据集源自自动化进口申报的实际经验，使其成为 RegTech 和合规性 AI 供应商的高价值资产。在全球贸易市场预计到 2036 年将达到 94 亿美元的背景下，这些数据对于构建能够应对脱欧后复杂贸易合规的先进监管 RAG 系统至关重要。
See dimension details ↓- Dataset Specificity78
主导的“监管”，出行行业，2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 Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume46
2 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 Value74
适用于监管 RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
AI 买家需求非常高，这得益于全球贸易管理软件市场对自动化和效率的需求，该市场正以显著的 12.0% CAGR 扩张。
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 Strength50
2 种证据类型，2 个命中
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 Orientation39
1 个数据胃口信号（1 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 — 拥有超出已货币化部分之外的专有数据
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 Audit100
✓ 良好目标 — 该公司是理想目标，因为其核心业务是提供报关服务，从而产生有价值的监管和贸易记录专有数据集作为副产品，而该数据集目前尚未出售。[2, 3, 8] 问题：公司结构似乎有些分散，有提及 2020 年成立的爱尔兰和英国实体，2025 年从 'Easy Customs UK' 更名，以及
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
此样本表明持有者处理结构化的交易数据以进行自动化的英国海关申报，证明监管知识基于真实的运营经验。
Regulatory records
此文本证实该数据集包含有关海关程序和许可的详细知识，直接使 AI 供应商能够为合规市场训练强大的监管 RAG 模型。
Marketplace
Dataset details
Geographic coverage
UK
Time range
Historical and ongoing (exact range not specified)
Update frequency
Periodic
Delivery
API or direct export (inferred)
Formats
Text
License
One-time license for use in Regulatory RAG systems, with potential restrictions on redistribution or resale due to proprietary nature and client data.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This dataset's high rarity, proprietary nature, and direct application to the rapidly growing trade management software market (projected to reach USD 9.4 billion by 2036) drive its significant valuation. Demand is strong from RegTech and AI compliance vendors seeking to leverage real-world UK customs data for RAG systems.
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Smartcustoms 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 was valued at USD 2.7 billion in 2025 and is projected to reach USD 9.4 billion by 2036, at a 12.0% CAGR (source: FMI).. Investment score 60.1/100 (confidence 0.42). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Stravex — 法规记录数据集机会
View opportunity →工业Alcemi — 监管记录数据集机会
View opportunity →医疗保健Dispotech — 法规记录数据集机会
View opportunity →