Dataset opportunity
Atec — 维护日志数据集机会
Atec 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
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
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在 2024 年的估值为 123 亿美元，预计到 2033 年将达到 688 亿美元，复合年增长率为 29.7%（来源：Custom Market Insights）。[6]
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
定期
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 受限
Buyer persona
工业人工智能与维护优化供应商
Atec 持有一个宝贵的时间序列数据集，其中包含来自高风险环境的工业维护日志和监管证据。这些数据结构化，可直接应用于预测性维护模型，使算法能够通过分析来自英国国防部和波音等来源的历史运营和 MRO（维护、修理和运营）数据来预测设备故障。
全球预测性维护市场在 2024 年的估值为123 亿美元，预计将以29.7% 的复合年增长率增长，显示出巨大的商业价值。[6] 尽管由于国防部门的安全许可（ITAR/EAR）、原始设备制造商（OEM）专有限制和遗留数据格式，访问此数据集很复杂，但其稀有性和直接适用于高增长市场使其成为任何旨在工业人工智能领域获得竞争优势的 AI 买家的战略资产。⚠ 尽职调查（有价值的数据，可协商访问）：国防部门数据（英国国防部、波音）涉及高安全许可和出口管制（ITAR/EAR）。；MRO 数据可能受 OEM 专有限制的约束。；过时数据高度专业化，可能以遗留格式存储。· 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 Atec 拥有一个工业维护、修理和大修（MRO）日志的专有数据集，其历史跨越二十多年。这种高稀有度的时间序列数据是预测性维护模型的关键燃料，该市场预计将从 2033 年的 123 亿美元增长到超过 680 亿美元。对于工业人工智能供应商而言，此数据集代表了一个难得的机会，可以获取高质量的真实世界训练数据，以构建和完善管理设备过时和优化系统生命周期的解决方案。
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 条证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
定期
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
人工智能买家需求异常高，这得益于预测性维护市场的快速扩张，该市场正以 29.7% 的复合年增长率增长。[6]
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 Strength62
3 种证据类型，3 条命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License32
所有权=混合，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 Orientation22
0 数据需求信号（0 类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高 — 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 Audit58
⚠ 审查 — 这是一个糟糕的目标；其核心业务是销售资产管理软件，而不是执行产生数据的运营服务。问题：公司的核心产品是‘智能资产管理软件’，这是一种销售智能/软件的形式，属于明确的排除标准；该公司是一家 SaaS/软件供应商；维护数据由其客户生成并属于其客户，而不是 Atec 本身；该公司将自己描述为‘软件公司’，而不是拥有数据溢出的运营业务。[https://www.atec.solutions]；该公司拥有 48 名员工，证实其为中小企业。[1]
- Deep Qualification90
⚠ 需要审查 — 该目标是 MRO 和过时管理领域的服务提供商，服务于关键行业；它不销售数据。‘维护日志数据集’是其服务的一个合理副产品，但数据归其客户（例如英国国防部）所有，并受到 ITAR/EAR 等法规的严格限制，使得访问和商业化极其复杂。[数据归公司客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Maintenance logs
证据表明存在详细的维护、修理和大修（MRO）日志，这是训练人工智能模型以根据OEM规范预测组件故障的抢手资产。
Industrial data
这证实了该数据集包含二十多年的历史工业数据，专注于过时管理，提供了建模和延长资产生命周期所需的长期运营历史。
Regulatory records
该数据源自AS9100 D认证环境，表明其是在航空航天领域常见的严格质量和文件标准下收集的，这增强了其在训练任务关键型人工智能方面的可靠性。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Over two decades
Update frequency
Periodic
Delivery
API or secure file transfer
Formats
JSON, CSV
License
One-time license for predictive maintenance use cases, subject to ITAR/EAR compliance and potential security clearances.
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 high rarity, proprietary nature, and direct application in the rapidly growing predictive maintenance market (valued at $12.3B in 2024, projected to exceed $68B by 2033) drive its significant value. Demand is high from industrial AI vendors seeking to forecast equipment failure.
Detailed schema & sample available on access request.
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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
Atec 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 was valued at USD 13.65 billion in 2025, projected to reach USD 97.37 billion by 2034, with a 24.30% CAGR (source: Fortune Business Insights).. Investment score 45.0/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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