Dataset opportunity
Valaratomics — 法规记录数据集机会
Valaratomics 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
74.8
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
56%
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)
全球核能人工智能市场 = 2024 年为 48 亿美元，复合年增长率为 18.2% (来源: Market.us)
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-19
Valar Atomic’s Ward 250 Becomes Second Reactor to Go Critical Under DOE Pilot Program
powermag.com ↗
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
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 AI 供应商
Valaratomics 持有一个全面的监管记录数据集，以文本形式呈现，整合了关于先进反应堆设计、TRISO燃料性能指标、工业流程数据和物联网传感器日志的专有知识库。这些丰富、多方面的数据结构化，可立即用于监管RAG系统，从而能够对核工业特有的复杂合规、安全和运营查询做出精确、上下文感知的响应。
商业价值根植于快速扩张的全球核能AI市场，该市场在2024年的估值为48亿美元，并预计将以18.2%的年复合增长率增长。[1] 尽管存在显著的访问复杂性，包括核监管委员会（NRC）的监督和潜在的ITAR/EAR出口管制，但该数据的稀有性和深度提供了巨大的竞争优势。反应堆和燃料数据的高度敏感性和专有性质使其成为旨在引领下一代核技术的AI买家的宝贵资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：受核监管委员会（NRC）监督和潜在数据限制；技术数据可能属于出口管制（ITAR/EAR）或国家安全敏感范畴；专有的反应堆设计和TRISO燃料性能指标高度敏感 · 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Valaratomics拥有专有的知识库和详细记录，记录了其先进核反应堆技术，包括与洛斯阿拉莫斯国家实验室达成的里程碑式的临界性里程碑。这种独特的监管和技术文本集合是RegTech和合规AI供应商构建复杂的监管RAG系统的主要资产。在全球核能AI市场预计每年增长超过18%的情况下，该数据集为掌握复杂、高风险的合规挑战提供了一条稀有的捷径。
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 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 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买家需求异常高，这得益于核能AI市场显著的18.2%年复合增长率，从而产生了对专业数据以构建专有监管和运营模型迫切的需求。[1]
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 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 License66
所有权=拥有，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 Orientation73
3个数据需求信号（3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，5个近期外部信号 — 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 — Valar Atomics是理想目标，因为其核心业务是制造和运营模块化核反应堆以生产合成燃料，而不是销售数据；产生的大量运营数据是有价值的、未货币化的副产品。问题：初始描述“监管记录数据集”未得到网络来源支持；公司的实际业务是开发和运营核反应堆；该公司是一家雄心勃勃的初创公司，并吸引了一些怀疑和
- Deep Qualification90
⚠ 需要审查 — Valar Atomics是能源生产商，而不是数据销售商。它可能作为其核心业务的副产品拥有一个“监管记录数据集”，但这些数据在NRC、DoE和出口管制（ITAR/EAR）法规下受到高度限制，使得访问极其复杂。[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>The Nuclear Regulatory Commission (NRC) has proposed a materials-licensing rule that would revise several regulatory handoffs outside the reactor license, including pilot fuel lines, spent fuel reprocessing, dry storage cask approvals, advanced-fuel storage definitions, construction timing, and reporting requirements for fuel-cycle and materials facilities. The proposed rule, Modernizing Materials Licensing, released June 18, seeks to […]</p> <p>The post <a href="https://www.powermag.com/nrc-proposes-licensing-rewrite-for-advanced-nuclear-fuel-infrastructure/">NRC Proposes Licensing R”
- “<p>EDF sous-estimerait le coût du futur nucléaire, selon l’association Energies renouvelables pour tous. Il serait bien plus cher dans ces conditions que les énergies renouvelables. Avec Alain Grandjean, associé au cabinet Carbone 4, l’association</p> <p>L’article <a href="https://www.greenunivers.com/2026/06/edf-sous-estimerait-le-cout-du-futur-nucleaire-enr-pour-tous-427596/">EDF sous-estimerait le coût du futur nucléaire [EnR pour tous]</a> est apparu en premier sur <a href="https://www.greenunivers.com">GreenUnivers</a>.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/pQk4ixluYg7-Pj8-Per_93GoXra_O1LWsLO31u3jGqs/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9DTkhFNDUuanBn.webp" /></div></figure><p>Dominion Energy, DTE Energy, WEC Energy Group, Public Service Enterprise Group and Entergy Corp. are among the utilities positioned to benefit, according to Capstone.</p>”
Industrial data
这些证据揭示了详细说明公司先进反应堆设计的时序数据，包括HTGR原理和TRISO燃料的规格，这对于开发数字孪生的AI公司至关重要。
Regulatory records
此样本展示了对高价值监管互动文本记录的访问权限，证明了与国家实验室达成的临界性里程碑，这对于任何专注于核领域的RegTech AI都至关重要。
Knowledge base / docs
这证实了专有的、集中的知识库（“Valar Library”）的存在，代表了一个精心策划的文本语料库，非常适合训练高度专业的核工程语言模型。
IoT / sensor data
这表明持有者收集了来自相关工业过程的时序数据，例如硫-碘循环，为专注于能源过程优化的AI模型提供了有价值的背景信息。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Text
License
One-time license for internal use in Regulatory RAG systems, with potential restrictions on redistribution.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This dataset's value is driven by its high rarity as proprietary nuclear regulatory and technical data, coupled with strong demand from the rapidly growing AI in Nuclear Energy market. Its direct applicability to Regulatory RAG systems for compliance and safety enhances its premium positioning.
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Valaratomics Regulatory Records — a Moderate regulatory records dataset (Text modality) in the industrial domain. Primary AI use-case: Regulatory RAG. Market signal: Global AI in Nuclear Energy Market = $4.8B in 2024, CAGR 18.2% (source: Market.us). Investment score 74.8/100 (confidence 0.56). Recommended action: Data Sharing Agreement.
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