Dataset opportunity
Roadnighttaylor — 监管记录数据集机会
Roadnighttaylor 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
67.8
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
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)
全球智能电网市场 = 2024 年为 738 亿美元，复合年增长率为 16.9%（来源：MarketsandMarkets）
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
其他
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确
Buyer persona
RegTech 和合规性 AI 供应商
Roadnighttaylor 拥有一个专门的监管记录数据集，数据类型为文本，包含经过丰富化的配电网运营商 (DNO) 信息、专有电网模型以及来自现场可行性研究的证据。这种地理数据、工业数据和监管记录的独特组合，为训练监管 RAG 系统提供了一个高保真源，使其能够准确回答关于能源电网连接和合规性的复杂查询。
此数据直接服务于全球智能电网市场，该市场在 2024 年的估值为738 亿美元，预计将以16.9% 的复合年增长率增长。[3] 尽管由于专有模型和客户特定数据存在访问复杂性，但该数据集的稀有性和深度对于寻求在由电网现代化和监管需求驱动的市场中获得竞争优势的 AI 买家来说是无价的。[3, 17, 18] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：专有电网模型已集成到其 Stoplight 软件和咨询服务中；数据包含经过丰富化的 DNO（配电网运营商）信息，可能存在特定的使用限制；大部分数据来自为私人客户进行的现场可行性研究。· 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 Roadnighttaylor 拥有英国电网连接记录的专有数据集，包括详细的可行性研究和监管影响分析。这些独特的数据对于构建面向快速增长的智能电网市场的工具的RegTech 和合规性 AI 供应商至关重要，该市场预计到 2024 年将达到 738 亿美元。该数据集直接支持监管 RAG 用例，提供对复杂且拥挤的英国电网连接过程的预测性洞察。这些情报对于降低当前数百万美元能源基础设施投资的风险至关重要。
See dimension details ↓- Dataset Specificity74
主导的“监管”，行业其他，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 Freshness62
API/开放（当前）
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适合监管 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，这得益于智能电网市场**16.9% 的复合年增长率**，该市场需要专门的监管和运营数据来实现自动化、合规性和电网现代化。[3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility40
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility4
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 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 License36
所有权=混合，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 个数据胃口信号（0 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 — 超出已货币化部分的专有数据
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 — 这是一个理想的目标，因为它是一家专业的 SME 咨询公司，其核心业务是销售关于电网连接的人工专业知识，而不是数据，并且作为其运营工作的副产品，它生成了一个非常有价值且小众的关于电网容量、申请成功率和监管流程的数据集。
- Deep Qualification80
✓ 通过 — 该目标是一家专业咨询公司，而不是数据持有者。其核心业务是提供专业的服务来处理电网连接，而生成的数据（可行性研究、尽职调查）是客户特定工作的副产品，导致混合所有权和不明确的许可权。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>Chaque semaine, GreenUnivers sélectionne les principaux événements professionnels de la transition énergétique. Des rendez-vous qui ont lieu en France et ailleurs dans les secteurs des énergies renouvelables, de l’hydrogène, de la rénovation ou encore de la mobilité électrique. Août 23 Cigre 2026, Palais des Congrès, Paris 26 La Ref, les Rencontres des entrepreneurs de France, […]</p> <p>L’article <a href="https://www.greenunivers.com/2026/07/lagenda-de-la-transition-energetique-280-424554/">L’agenda de la transition énergétique</a> est apparu en premier sur <a href="https://www”
- “<figure><div><img src="https://imgproxy.divecdn.com/K2MKXLUlsz_t_rd3A38S7bDzNYNgxX3p33kjpPaZqqc/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9NaWtlX0JyYXVuLmpwZw==.webp" /></div></figure><p>AES, American Electric Power, CenterPoint Energy, Duke Energy and NiSource could be affected under a “more consumer-oriented utility commission policy,” Paul Patterson, a Glenrock Associates equity analyst, told Utility Dive.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/qm1qZzxk0uL26r2AN2y6m7oA3IGpS7WR2L8og_BcbJ8/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9MQV9maXJlcy5qcGc=.webp" /></div></figure><p>Regulators approved 64% of the dollar value of revenue increase requests over the past five years, suggesting today’s rate cases will continue to raise bills, according to a recent report from the Lawrence Berkeley National Laboratory.</p>”
Developer portal
持有者为能源开发商和投资者维护一个专门的在线门户，表明有一个结构化的文档和工具存储库供商业客户使用。
Geospatial data
该公司拥有一个复杂的电网智能工具，可生成电网限制的专有热力图，为选址和风险评估提供高价值的地理空间数据。
Industrial data
持有者专门的工程师生成详细的可行性研究和连接性评估，证明了基于真实电网分析的高价值技术报告的创建。
Regulatory records
该公司策划了一个专有的文本数据集，跟踪国家电网连接队列，包括对成功率和监管影响的独特分析。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Roadnighttaylor Regulatory Records — a Moderate regulatory records dataset (Text modality) in the other domain. Primary AI use-case: Regulatory RAG. Market signal: Global Smart Grid Market = $73.8 billion in 2024, CAGR 16.9% (source: MarketsandMarkets). Investment score 67.8/100 (confidence 0.56). Recommended action: Acquire.
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