Dataset opportunity
Smeag — 监管记录数据集机会
Smeag 持有的中等规模监管记录数据集，可用于监管 RAG 和合规 Copilots。
Score
73.9
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
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)
全球数字采矿市场预计将从 2026 年的 113 亿美元增长到 2033 年的 236 亿美元，复合年增长率为 11.2%。
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
监管记录数据集
Modality
文本
Sector
工业
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 许可干净
Buyer persona
RegTech 和合规 AI 供应商
Smeag 持有文本模态的监管记录数据集，包含其运营的详细地理数据、工业记录和监管备案。该集合包括高度专业化的地质和矿物学数据、专有的3D矿床模型以及地下测绘，使其特别适合用于旨在导航采矿业复杂法律和环境框架的监管 RAG 系统。
全球数字采矿市场预计将从 2026 年的 113 亿美元增长到 2033 年的 236 亿美元，复合年增长率为 11.2%。[7] 尽管由于其专有性质以及与萨克森州特定采矿许可证的关联，访问此数据集很复杂，但这一独特且有价值的数据通过实现快速采用数字解决方案进行运营规划和合规的市场中的人工智能驱动效率，提供了显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：高度专业化的地质和矿物学数据集；专有的 3D 矿床模型和地下测绘；与萨克森州特定采矿许可证相关的数据 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了 Smeag 拥有一个稀有的、多模态的数据集，该数据集基于活跃的德国采矿许可证。它结合了专有的地质勘测、详细的 3D 矿床模型以及规范它们的关键监管记录。对于 RegTech 和合规 AI 供应商来说，这是用于训练针对全球数字采矿市场的监管 RAG 应用程序的地面实况来源，该市场预计到 2033 年将翻一番以上，达到 236 亿美元。
See dimension details ↓- Dataset Specificity90
主导的“监管”，工业部门，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
人工智能买家需求旺盛，这得益于数字采矿市场的强劲增长（复合年增长率 11.2%），因为工业公司寻求专业数据来训练监管和运营人工智能模型。[7]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
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 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 Audit92
✓ 良好目标 — Smeag 是一家德国金融服务公司，其处理外国增值税退税的核心业务产生了一个有价值的、休眠的监管和交易数据数据集，使其成为理想的目标。问题：由于存在多个其他名为“SMEAG”的实体，网络搜索结果很嘈杂；目标是位于 smeag.de 的德国有限公司；公司规模未在其网站或公开记录中明确说明，但其业务模式和网络存在强烈表明它是一家中小企业。
- Deep Qualification90
✓ 通过 — SME AG 是一家矿产开发公司，拥有萨克森州一个重要矿床的权利。它是一个主要的**数据持有者**，作为其核心业务的副产品，拥有广泛的地质、矿物学和监管数据。最近一次失败的收购使该公司重新进入投资者市场，创造了一个明确的触发因素。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
该数据集包括来自地下钻探项目的高分辨率表格数据，提供商品交易商和勘探技术公司寻求的详细矿物学分析。
Industrial data
这包含用于生成矿床3D模型的时间序列数据，是数字孪生和资源估算平台的基础要素。
Regulatory records
这些文本数据包括支持勘探和采矿许可证的法律和技术文件，对于构建资源行业监管合规模型的公司来说是一项关键资产。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Smeag Regulatory Records — a Moderate regulatory records dataset (Text modality) in the industrial domain. Primary AI use-case: Regulatory RAG. Market signal: Global digital mining market projected to grow from $11.3B in 2026 to $23.6B by 2033, CAGR 11.2% (source: Grand View Research). Investment score 73.9/100 (confidence 0.49). Recommended action: Acquire.
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