Dataset opportunity
Crosscall — 维护日志数据集机会
Crosscall 持有的中等维护日志数据集，可用于预测性维护和异常检测。
Score
69.6
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)
全球预测性维护市场 = 2024 年为 106 亿美元，复合年增长率为 35.1%。
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
维护日志数据集
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 — GDPR 敏感（PII 审查）
Buyer persona
工业人工智能与维护优化供应商
Crosscall 持有一个有价值的维护日志数据集，该数据集结构为时间序列数据，汇集了其工业环境中加固设备的 `event_streams`、`iot_data` 和详细的 `maintenance_logs`。该数据的粒度捕捉了真实的运行压力和故障模式，使其非常适合训练高价值预测性维护用例的 AI 模型，从而能够在硬件发生故障之前进行预测。
这些数据直接面向全球预测性维护市场，该市场在 2024 年的价值为106 亿美元，预计将以惊人的 35.1% 的复合年增长率增长。虽然访问需要通过数据匿名化来应对 GDPR 并与企业客户协商共享所有权，但该市场的极速增长使此数据集成为一项稀有且备受追捧的资产。AI 买家获得可观投资回报的潜力证明了许可这些独特的工业数据所需的尽职调查是值得的。⚠ 尽职调查（有价值的数据，可协商访问）：遥测数据涉及最终用户隐私（GDPR），需要匿名化；专业车队的数据所有权可能与企业客户共享；以硬件为中心的文化可能需要对数据许可价值进行教育。· 企业：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 Crosscall 持有专有的多年数据集，详细说明了在恶劣的真实条件下运行的工业加固设备的硬件故障模式。这些数据直接服务于蓬勃发展的预测性维护市场，该市场预计将在 2024 年达到 106 亿美元。对于工业人工智能供应商而言，此数据集提供了关键的地面实况——结合了详细的维修日志和真实传感器数据——用于训练和验证预测设备故障的下一代算法，这是优化工业运营的关键需求。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，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
人工智能买家需求极高，这得益于一个快速增长的市场，预计该市场将以 35.1% 的复合年增长率扩张，因为公司越来越多地采用人工智能和物联网来最大限度地减少昂贵的设备停机时间。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
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 License62
所有权=公司所有，许可=GDPR 敏感
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 Surplus70
盈余=中等 — 超出已货币化的专有数据
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 — Crosscall 是一个理想的目标，因为它制造和销售加固硬件，并且拥有重要的售后服务部门，该部门会产生维护和维修日志作为休眠的、非核心的数据副产品。问题：在直接联系之前，维护日志的实际数量、丰富性和格式均未确认；关于确切的员工人数存在冲突信息，数字从 12 到 219 不等，尽管大多数可靠来源指向约 200 人。
- Deep Qualification80
✓ 通过 — Crosscall 是一家加固设备制造商，其广泛的 5 年保修和售后服务可能会生成有价值的维护和故障日志数据集。然而，数据所有权是混合的，并且受 GDPR 约束，因为它涉及最终用户和企业客户的数据，需要仔细协商。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该数据集包含来自极端温度下使用的设备的物联网传感器数据的时间序列，提供了理解硬件故障环境触发因素所需的关键真实性能背景。
Maintenance logs
这是对数千台设备的维护日志和维修数据的专有集合，直接详细说明了五年保修期内的硬件故障模式和组件寿命。
Event streams
该数据集包括来自私有网络上任务关键型通信的事件流，提供了对高风险环境中组件故障之前的运行压力和使用模式的独特见解。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Crosscall Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $10.6B in 2024, CAGR 35.1% (source: MarketsandMarkets™). Investment score 69.6/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Enertysur — 维护日志数据集机会
View opportunity →industrialIlos — 维护日志数据集机会
View opportunity →其他Lion Storage — 传感器遥测数据集机会
View opportunity →