Dataset opportunity
Ingridcapacity — 工业传感器数据集机会
Ingridcapacity 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
47.5
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 = 2024 年为 123 亿美元，复合年增长率为 29.7%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-09-30
Ingrid Capacity och Mirova investerar i batterilager i Sverige och Finland
energinyheter.se ↗
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.
- 🧑💻Hiring a data role
招聘数据工程师和算法开发人员以进行电网优化
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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
Ingridcapacity 持有一个重要的工业传感器数据集，该数据集由其 450MW 能源资产组合中的高频时间序列数据组成，包括 `event_streams` 和 `iot_data`。这些精细的运营数据非常适合训练复杂的预测性维护模型，以预测设备故障并优化资产性能。
预测性维护的全球市场在 2024 年的价值为123 亿美元，预计将以29.7% 的复合年增长率增长，这表明对相关数据的需求巨大。[7] 虽然访问需要应对国家安全法规和 TSO/DSO 保密性等复杂问题，但该工业数据的稀缺性及其对高价值市场的直接适用性，使其成为寻求竞争优势的 AI 开发者的有吸引力的资产。⚠ 注意事项（有价值的数据，可协商的访问权限）：运营关键能源基础设施可能涉及有关数据共享的国家安全法规；数据所有权（第三方电池）必须与其自身的 450MW 投资组合区分开来；高频电网数据通常受 TSO/DSO 保密协议的约束。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同表明，Ingridcapacity 持有其正在积极管理的工业能源资产的大规模、专有时间序列数据集。该数据捕获实时运营，包括参与高风险的频率和平衡市场，并且已被证明对机器学习预测具有价值。对于快速增长的预测性维护市场（2024 年为 123 亿美元）的供应商而言，此数据集提供了一个难得的机会，可以在多样化的真实运营条件下训练和验证模型，直接满足对资产优化和可靠性的需求。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，工业领域，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 Demand95
对此数据的需求源于高增长的预测性维护市场，该市场正以 29.7% 的复合年增长率扩张。[7]
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 Feasibility30
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 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 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 Surplus92
盈余=高，1 个近期外部信号 — 超出已货币化数据的专有数据
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 Audit58
⚠ 审查 — 该公司的核心业务是作为服务出售能源网优化和稳定性，使用其自己的软件和物理电池资产，这使其成为智能的销售者，而不是休眠数据的持有者。问题：公司核心产品是智能/软件：Ingrid Capacity 的商业模式是构建、拥有和运营电池存储设施，然后使用其专有；已货币化数据/洞察：公司的主要收入来自销售其能源存储和优化解决方案，而不是来自独立的运营；将其描述为软件提供商：该公司明确表示，它构建了“基础设施和软件”并运营着一个“专有交易和优化”
- Deep Qualification80
✓ 通过 — Ingrid Capacity 是一个强大的数据持有者候选者。它开发并运营着一个大型电池储能系统组合，使用专有的数据驱动平台进行实时优化，从而生成有价值的工业传感器数据集。数据所有权是混合的，由于可能的 TSO/DSO 保密性和国家安全法规，许可权不明确。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据表明，来自多样化管理资产组合（450 兆瓦）的大量物联网数据，提供了训练强大预测性维护模型所需的规模和多样性。
Event streams
该数据集包含来自实时能源平衡市场的高价值事件流，这对于开发优化资产性能以应对电网可靠性和市场需求的模型的 AI 供应商至关重要。
Industrial data
这证实了已由持有者自己的机器学习和优化引擎结构化并验证过的精选工业数据的存在，从而大大减少了买方的数据准备工作。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Ingridcapacity 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 = $12.3 Billion in 2024, CAGR 29.7% (source: Custom Market Insights). [7]. Investment score 47.5/100 (confidence 0.49). Recommended action: Acquire.
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