Dataset opportunity
Naarea — 法规记录数据集机会
Naarea 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
48
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
数据共享协议
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)
全球监管科技中的人工智能市场 = 2026 年为 227.2 亿美元，复合年增长率为 22.80%（2026-2035 年）。
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
法规记录数据集
Modality
文本
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 受限
Buyer persona
监管科技与合规人工智能供应商
Naarea 持有文本模态的法规记录数据集，其中包含丰富的工业数据、物联网数据和法规证明。这些数据源自其先进的熔盐反应堆（MSR）技术以及与 Dassault Systèmes 的数字孪生合作伙伴关系，使其结构独特，并为应对复杂的合规要求而优化的法规 RAG 用例做好准备。
全球监管科技中的人工智能市场预计将在 2026 年达到227.2 亿美元，复合年增长率为22.80%。[13] 尽管由于高度管制的核能行业和国家安全限制导致访问复杂，但该数据集的稀有性和战略价值为寻求在工业合规方面获得竞争优势的人工智能买家提供了重大机会。⚠ 尽职调查（有价值的数据，可协商的访问权限）：高度管制的核能行业；与熔盐反应堆（MSR）技术相关的战略数据；通过与 Dassault Systèmes 的数字孪生合作伙伴关系生成的数据；数据共享的国家安全和安全限制 · 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 Naarea 持有专有且广泛的法规文件，包括其创新的XAMR微型反应堆的安全性和测试结果。这些高度专业化的文本数据是监管科技和合规人工智能供应商构建复杂的法规 RAG 系统的主要资产。在全球监管科技人工智能市场预计到 2026 年将超过 220 亿美元之际，该数据集提供了捕捉快速增长行业重要份额所需的独特、高风险的培训材料。
See dimension details ↓- ICP Audit67
⚠ 审查 — Naarea 的核心业务是开发和销售其专有微型核反应堆的能源，而不是销售数据，但该公司处于司法管理之下，使其成为一个不可行的目标。问题：截至 2025 年底/2026 年初，公司处于司法恢复/清算程序中。[9, 10, 14, 18]；核心业务模式是销售能源即服务，而不是反应堆本身或任何副产品数据。[1, 3, 10]；公司主要产品是其反应堆产生的能源/热量；生成的所有数据（研发、模拟、法规）都是该核心智能产品的组成部分。
- 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
高需求由监管科技人工智能市场的快速增长（复合年增长率 22.80%）驱动，因为组织越来越需要专业的 AI 工具来管理复杂的全球法规。[13]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility24
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 Feasibility14
高难度，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 License66
所有权=公司所有，许可=受限
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 数据需求信号（0 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. - Deep Qualification80
✓ 通过 — Naarea 是第四代熔盐反应堆（MSR）的开发商，其商业模式是销售能源即服务，而不是反应堆本身。它是宝贵的研发、模拟（来自其与 Dassault Systèmes 的数字孪生）和法规数据的持有者。然而，该公司于 2025 年底进入破产管理程序，并在 2026 年初的强制收购失败，导致其数据访问极其复杂且运营未来不确定。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这表明存在来自 XAMR 反应堆虚拟孪生的时间序列数据，对于开发复杂工业资产预测性维护或运营模拟模型的 AI 供应商来说很有价值。
Industrial data
这证实了拥有关于熔盐和材料行为的专有时间序列数据，这是任何对先进核技术进行建模或研究的组织的宝贵资产。
Regulatory records
这证实了拥有大量专有的法规文件和测试结果，对于训练法规 RAG 模型以应对核行业复杂的合规环境至关重要。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Naarea Regulatory Records — a Moderate regulatory records dataset (Text modality) in the industrial domain. Primary AI use-case: Regulatory RAG. Market signal: Global AI in Regulatory Technology market = $22.72 billion in 2026, CAGR 22.80% (2026-2035) (source: ICT industry specialist Shivani Zoting). Investment score 48.0/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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