Dataset opportunity
Spedition Pohl — 法规记录数据集机会
Spedition Pohl 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
77.9
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
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 RegTech 市场在 2025 年的估值为 190.6 亿美元，预计到 2034 年将达到 1052.3 亿美元，复合年增长率为 20.00%。
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
高（专有）
Accessibility
受限
Legal
公司所有 — 可干净许可 · PII/受监管
Buyer persona
RegTech & 合规 AI 供应商
Spedition Pohl 拥有宝贵的法规记录数据集，其数据模态为文本，源自其核心物流业务。这些数据来自运输管理系统 (TMS) 和仓库管理系统 (WMS)，包含工业交易记录、物联网数据和法规证明，非常适合训练法规 RAG 模型以解读和导航复杂的合规环境。[11, 15]
全球RegTech市场在 2025 年的估值为190.6 亿美元，预计到 2034 年将以 20.00% 的复合年增长率增长，这表明对合规相关数据的巨大需求。[1] 虽然访问需要谨慎协商，因为数据存储在运营系统中，并且可能包含搬家服务中的 B2C PII，但该数据集独特地包含了结构化的二氧化碳和效率数据（以绿色物流认证为证），使其成为人工智能买家在快速增长的法规和可持续性报告领域中一个稀有且备受追捧的资产。[1, 14] ⚠ 尽职调查（有价值的数据，可协商访问）：数据可能存储在运输管理系统 (TMS) 和仓库管理系统 (WMS) 中；搬家服务（Umzug）涉及 B2C PII，但核心物流数据是工业数据；绿色物流认证表明存在结构化的二氧化碳和效率数据集。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Spedition Pohl 拥有专有的法规文件，包括其经认证的德国物流业务产生的特定ISO 认证。这种高稀有度的文本数据是 RegTech 供应商构建AI 合规工具（特别是法规 RAG 应用）的主要资产。在预计到 2034 年将超过 1000 亿美元的 RegTech 市场中，该数据集提供了在复杂的、真实的物流和环境标准上训练模型的地面实况。
See dimension details ↓- Legal Accessibility16
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
低难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Dataset Specificity100
主导的“法规”，行业 mobility，4 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 Rarity94
专有领域数据
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 Value94
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 Demand90
人工智能买家需求异常高，这得益于在复杂的监管环境中对自动化合规解决方案的迫切需求，这反映在 RegTech 市场预计的 20.00% 复合年增长率中。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - 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 License92
所有权=公司所有，许可=干净
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 Orientation56
2 个数据需求信号（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 — 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 Audit100
✓ 良好目标 — Spedition Pohl 是一个理想的目标；它是一家可联系的、家族拥有的德国物流中小企业，其核心业务是运输和仓储，而不是出售其作为副产品产生的有价值的运营和法规数据。
- Deep Qualification80
⚠ 需要审查 — Spedition Pohl 是一家物流服务提供商，使其成为数据持有者，但根据德国货运代理标准条款 (ADSp)，数据在法律上属于其客户，并且其隐私政策限制数据使用仅限于服务提供。 [数据归其客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
这些证据表明持有者拥有详细说明其认证物流服务的表格数据，这对于审计供应链交易和验证运营合规性非常宝贵。
IoT / sensor data
该公司从其网络化物流解决方案中生成时间序列数据，提供了对实时供应链移动和资产跟踪的见解。
Industrial data
这指向了专注于货物流优化的时间序列数据，这对于建模流程效率和识别运营瓶颈至关重要。
Regulatory records
这些基于文本的证据直接证实了专有法规文件的存在，例如ISO 认证，这些文件是训练和验证人工智能合规模型的关键地面实况。
Marketplace
Dataset details
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
Spedition Pohl Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global RegTech market was valued at USD 19.06 billion in 2025 and is projected to reach USD 105.23 billion by 2034, at a CAGR of 20.00% (source: Fortune Business Insights). [1]. Investment score 77.9/100 (confidence 0.56). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Alliancedesenergies — 监管记录数据集机会
View opportunity →出行Bookertrans — 维护日志数据集机会
View opportunity →mobilityTrunkrs — 移动遥测数据集机会
View opportunity →