Dataset opportunity
Alcemi — 工业传感器数据集机会
Alcemi 持有的中等规模工业传感器数据集，可用于预测性维护和异常检测。
Score
73.2
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)
全球预测性维护市场 = 2025 年为 136.5 亿美元，复合年增长率为 24.30%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-12
CIP déploie la plus puissante batterie d’Europe, au Royaume-Uni
greenunivers.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
工业传感器数据集
Modality
时间序列
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
工业人工智能与维护优化供应商
Alcemi 拥有宝贵的工业传感器数据集，该数据集由其英国能源基础设施的时间序列数据组成，包括 `geo_data`、`industrial_data` 和 `iot_data`。这些丰富、多模态的运营数据直接适用于训练复杂的预测性维护模型，使 AI 买家能够预测设备故障并优化资产性能。
全球预测性维护市场的价值凸显了其商业价值，该市场在 2025 年的估值为136.5 亿美元，预计将以 24.30% 的复合年增长率增长。[1] 尽管存在数据所有权与 Copenhagen Infrastructure Partners 等合作伙伴共享以及与 National Grid 签订保密协议等访问复杂性，但该特定地点工业数据的稀缺性和真实性使其成为在高增长市场中获得竞争优势的高级资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能与 Copenhagen Infrastructure Partners (CIP) 等投资伙伴共享；电网交互数据可能受 National Grid 保密协议的约束；运营数据与英国各地的特定物理基础设施站点相关 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据表明 Alcemi 拥有其大型电池储能系统的高频传感器数据的专有且高价值的数据集。这些时间序列数据直接用于开发复杂的预测性维护算法，这是针对工业领域的人工智能供应商的关键需求。随着全球预测性维护市场预计到 2025 年将达到 136.5 亿美元 [1]，这一独特的数据集提供了构建和验证优化电网规模资产性能并防止代价高昂的故障的模型所需的原材料。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，行业工业，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
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家对这种数据类型的需求异常高，这得益于预测性维护市场的快速扩张，该市场正以 24.30% 的复合年增长率增长。[1]
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 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 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 Orientation56
2 个数据需求信号（2 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，1 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 — Alcemi 是一家能源存储开发商，负责建造和运营大型电池设施，使其成为一个有力的目标，因为其资产的运营传感器数据是一种有价值的副产品，而不是其核心产品。问题：该公司的主要资产（电池储能设施）正在逐步推出，第一个主要项目预计将于 10 月份投入运营
- Deep Qualification80
✓ 通过 — Alcemi 是一家大型电池储能项目开发商，这使得工业传感器数据集的存在具有合理性，但由于主要的投资和开发合作伙伴关系，数据所有权很复杂。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该数据集包含高频物联网传感器读数，详细说明了电池储能系统的运行状况，包括充电状态和温度，这对于训练故障预测模型至关重要。
Industrial data
它包括工业时间序列数据，捕获了系统的实时性能以及对电网频率波动的响应，提供了对资产在真实运行压力下行为的独特见解。
Geospatial data
持有者还拥有关于地理空间和技术因素的专有表格数据，用于选址，为网络扩展和资本配置模型提供战略见解。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Alcemi Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market = $13.65 billion in 2025, CAGR 24.30% (source: Fortune Business Insights). [1]. Investment score 73.2/100 (confidence 0.49). Recommended action: Acquire.
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