Dataset opportunity
Codeomedical — 维护日志数据集机会
Codeomedical 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
合作（集团层面）
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)
医疗保健领域全球预测性维护市场预计到 2026 年将达到 14 亿美元，复合年增长率为 23.8%（2026-2036 年）。
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
维护日志数据集
Modality
时间序列
Sector
医疗保健
Volume
中等
Freshness
定期
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
Codeomedical 持有源自其广泛的医疗设备翻新和经纪业务的宝贵时间序列维护日志数据集。该数据集包含详细的技术日志、业务记录和工业数据，为训练预测性维护人工智能模型以在设备发生故障前进行预测提供了坚实的基础。
医疗保健领域全球预测性维护市场的增长凸显了其商业价值，该市场预计到 2026 年将达到14 亿美元，复合年增长率（CAGR）为 23.8%。[1] 虽然访问需要克服某些复杂性——例如敏感医院标识符的匿名化以及为第三方品牌数据获取法律许可——但这些日志的稀有性和直接适用性为旨在进入这个高增长市场的 AI 买家提供了显著的竞争优势。[1] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据是物理翻新和经纪业务的副产品；技术日志可能包含需要匿名化的敏感医院标识符；第三方品牌维护历史的所有权需要法律许可。· 公司：Codeo Group 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Codeomedical 拥有专有数据集，详细记录了 GE、Philips 和 Siemens 等主要品牌高价值医疗设备的完整生命周期。数据结合了详细的维护日志、特定的硬件故障点以及历史资产估值记录。这是工业人工智能供应商开发预测性维护解决方案以占领医疗保健 AI 市场份额的关键资产，该市场预计到 2026 年将达到 14 亿美元。
See dimension details ↓- 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. - Dataset Specificity78
主导的“维护日志”，医疗保健行业，2 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 Rarity70
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 Freshness46
定期
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
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
AI 买家需求异常高，这得益于医疗保健领域预测性维护市场的快速扩张，该市场正以 23.8% 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 Feasibility15
中等难度，Codeo Group 的子公司
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 Independence50
Codeo Group 的子公司
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…). - ICP Audit58
⚠ 审查 — Codeo Medical 是一个糟糕的目标，因为其核心业务是销售服务（维护、翻新设备转售）和 CMMS/GMAO 软件平台，而不是从其自身主要运营中生成专有数据。问题：该公司的主要业务不是产生数据的副产品；相反，它提供服务和软件来管理其客户的数据。[4, 5, 1；该公司是一家工具供应商，提供名为 Greendesk 的 CMMS（GMAO）软件供客户跟踪自己的维护操作。[13, 17] 这意味着；该公司的商业模式在 ICP 中明确列为“糟糕”目标：它销售用于分析/BI 的服务和软件，即“销售智能”；虽然他们在自己的车间进行维护和维修，但生成的数据（维护日志）是其销售服务的一部分，而不是休眠的副产品
- Deep Qualification80
✓ 通过 — Codeomedical 的核心业务是医疗设备的翻新、销售和维护，使其成为维护日志的合理数据持有者；然而，由于缺乏可用的法律文件，数据所有权和许可权尚未确定。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Maintenance logs
Codeomedical 从其对关键医院设备的维护服务中生成详细的时间序列维修和状况报告，为故障预测模型提供所需的真实数据。
business_records
该公司持有二手医疗设备买卖的历史交易数据，为资产估值和总拥有成本模型提供了独特的财务基准。
Industrial data
来自公司翻新中心的数据直接揭示了主要制造商特定硬件型号的寿命和常见故障点。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Codeomedical Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the healthcare domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance in Healthcare market estimated to reach $1.4 billion in 2026, with a CAGR of 23.8% (2026-2036). [1]. Investment score 47.5/100 (confidence 0.49). Recommended action: Partnership (group-level).
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