Dataset opportunity
Sas Berthet — 法规记录数据集机会
Sas Berthet 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
73.8
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)
全球环境、健康和安全市场规模在 2024 年估值为 79 亿美元，复合年增长率为 7.6%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-09-11
« Le prix du broutard se stabilise »
lafranceagricole.fr ↗
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.
- ✨Signal
投资于现代高科技车队和用于土方工程的技术精度
source ↗
Profile
Dataset profile
Type
法规记录数据集
Modality
文本
Sector
工业
Volume
中等
Freshness
实时
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
Sas Berthet 拥有宝贵的法规记录数据集，数据模态为文本，包含地理数据、物联网数据和特定的法规合规文件。这些数据整合了工业设备的遥测信息、CAD/BIM 格式的地理空间数据以及重要的拆除/石棉合规记录，使其非常适合开发能够应对复杂工业合规查询的法规 RAG 模型。[1, 15]
该数据集面向全球环境、健康和安全 (EHS) 市场，该市场在 2024 年的估值为79 亿美元，预计将以7.6% 的复合年增长率增长。[1] 尽管存在数据访问复杂性，例如数据被孤立在第三方遥测平台中或需要从 CAD/BIM 文件中提取，但人工智能驱动的合规自动化的高增长和强劲市场需求使其成为一项极具价值的资产。[1] ⚠ 尽职调查（有价值的数据，可协商访问）：运营数据可能孤立在第三方遥测平台中（例如，Caterpillar、Volvo）；地理空间和测量数据可能存储在需要提取的 CAD/BIM 格式中；拆除和石棉数据涉及法规合规记录 · 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持有者拥有一个稀有的、专有的法规日志和可追溯性数据数据集，用于危险的工业运营。对于构建法规 RAG 模型以服务于复杂的环境、健康和安全 (EHS) 市场（该市场估值为79 亿美元，年增长率为 7.6%）的 RegTech 和合规 AI 供应商来说，这是一项高价值资产。该数据集为训练自动化合规和风险管理的 AI 提供了独特的、真实的现实基础，适用于高风险环境。
See dimension details ↓- Dataset Specificity90
主导的“法规”，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 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
人工智能买家需求旺盛，这得益于在复合年增长率为 7.6% 的工业 EHS 市场中对自动化合规和风险管理的需求。[1]
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 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 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 Orientation39
1 个数据需求信号（1 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
盈余=中等，1 个近期外部信号 — 超出已货币化范围的专有数据
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 — 这家家族经营的法国牲畜出口商非常合适，因为其核心业务是牛的实物贸易，产生了大量运营、物流和法规数据作为副产品，但没有任何迹象表明这些数据已被货币化。问题：最初的提示提到了“法规记录数据集”，这似乎是一个假设；该公司的业务是牲畜贸易，以及法规数据；虽然 Kompass 目录列出了该公司，但它们没有提供具体的员工人数或收入数据，尽管其“家族企业”的描述强烈暗示了这一点。
- Deep Qualification100
⚠ 需要审查 — 该机会基于一个关键错误；目标公司 (sas-berthet.com) 是一家牲畜贸易商，并不像假设那样在拆除或建筑行业运营。[数据集类型与实际活动不符：目标公司 SAS Berthet 是一家牲畜出口商，在拆除或石棉清除方面没有任何运营活动，而这些活动将是所述数据集的来源。[8, 10, 16]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
持有者从其重型工业设备车队中生成连续的时间序列数据，为关联物理运营与法规事件或开发预测性维护模型提供了有价值的次要信号。
Geospatial data
这些证据指向来自土方工程和场地开发项目的表格地理空间数据，这对于空间验证场地合规性和绘制受管制活动的地点至关重要。
Regulatory records
该数据集包含高风险工业活动（如石棉清除）的专有文本法规日志和可追溯性记录，为训练自动化合规和风险监控的 AI 提供了重要的地面实况数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Sas Berthet Regulatory Records — a Moderate regulatory records dataset (Text modality) in the industrial domain. Primary AI use-case: Regulatory RAG. Market signal: Global Environment, Health and Safety Market size was valued at $7.9 billion in 2024, CAGR 7.6% (source: Environment, Health and Safety Market Report 2025-2029). Investment score 73.8/100 (confidence 0.49). Recommended action: Acquire.
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