Dataset opportunity
Erea Ingenierie — 监管记录数据集机会
Erea Ingenierie 持有的中等规模监管记录数据集，可用于监管 RAG 和合规性 Copilots。
Score
70.8
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 RegTech 市场规模在 2025 年估值为 243 亿美元，预计从 2026 年到 2033 年的复合年增长率为 21.1%。
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
监管记录数据集
Modality
文本
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待澄清
Buyer persona
RegTech 和合规性 AI 供应商
Erea Ingenierie 持有专门的监管记录数据集，数据类型为文本，包含丰富的 `industrial_data`（工业数据）、`iot_data`（物联网数据）和 `regulatory`（监管）文档。这一精心策划的集合为开发和微调监管 RAG 模型提供了高度相关、真实的基石，使其能够准确地处理工业领域特定的复杂合规查询。
该数据的商业价值体现在全球RegTech市场的巨大增长上，该市场在 2025 年的估值为243 亿美元，预计将以 21.1% 的复合年增长率扩张。尽管存在访问复杂性，例如客户合同中关于原始数据的条款以及对技术元数据的需求，但该数据集的稀有性和专业性使其成为寻求自动化和引领工业合规市场的 AI 买家极其有价值的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：原始测量数据的所有权可能受特定客户合同条款的约束；声学和环境数据集高度专业化，需要技术元数据进行 AI 训练。· corporate: independent。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
公开证据证实 Erea Ingenierie 拥有其核心工业工程业务产生的专有环境研究和监管记录。这个基于文本的数据集是RegTech和合规性 AI 供应商寻求训练复杂的监管检索增强生成（RAG）模型的宝贵资产。在全球 RegTech 市场预计每年增长超过 21% 的情况下，这种稀有的真实世界数据为构建和验证下一代工业领域合规解决方案提供了独特的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的“监管”，工业领域，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 Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于监管 RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI 买家需求极高，这得益于 RegTech 市场 21.1% 的快速复合年增长率，因为工业公司越来越需要复杂的 AI 来自动化和管理监管合规性。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 Feasibility44
低难度，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 License70
所有权=公司所有，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 数据胃口信号（0 类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
盈余=中等 — 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 — 这家法国环境和可再生能源工程咨询公司在其核心咨询业务的副产品中生成监管和影响研究，使其成为一个拥有沉睡数据的理想目标。
- Deep Qualification90
⚠ 需要审查 — 目标是一家工程咨询公司，为客户提供监管和环境研究；这种服务模式意味着产生的数据归委托客户所有，因此在法律上限制转售。[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.
IoT / sensor data
这些证据表明持有者拥有来自声学测量和其他现场环境传感器的时序数据，对于需要验证工业噪音合规性或构建预测模型的公司来说很有价值。
Industrial data
持有者在其主要可再生能源项目工作中生成运营时序数据，这是开发用于风能和太阳能领域资产绩效和预测性维护的 AI 的公司所寻求的数据集。
Regulatory records
这证实了专有的基于文本的环境研究和报告的存在，这些报告是任何为复杂的能源、农业和基础设施领域构建合规性模型的 AI 供应商的基本训练数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Erea Ingenierie Regulatory Records — a Moderate regulatory records dataset (Text modality) in the industrial domain. Primary AI use-case: Regulatory RAG. Market signal: Global RegTech market size was valued at $24.3 billion in 2025, projected to grow at a CAGR of 21.1% from 2026 to 2033 (source: Grand View Research).. Investment score 70.8/100 (confidence 0.49). Recommended action: Acquire.
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