Dataset opportunity
Goliathdeveloppement — 数据集机会：维护日志
Goliathdeveloppement 持有的中等规模维护日志数据集，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
42%
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（来源：Fortune Business Insights）。[1]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-19
REV Renewables, Community Choice Aggregators Bring Energy Storage Project Online
powermag.com ↗ - 📰press2026-06-19
Soltec Touts PFE-Compliant Certification for Solar Trackers
powermag.com ↗ - 📰press2026-06-19
Bruxelles lance une place de marché pour le biométhane
greenunivers.com ↗ - 📰press2026-06-18
Trump administration buys out 4 more offshore wind leases for $765M
utilitydive.com ↗ - 📰press2026-06-18
L’Etat veut proposer des contrats long terme d’électricité renouvelable
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.
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
部分
Legal
公司所有 — 可授权
Buyer persona
工业人工智能与维护优化供应商
Goliathdeveloppement 持有的工业运营时间序列 维护日志数据集，包含详细的 `inspection_records` 和 `maintenance_logs`。这种设备事件和干预措施的按时间顺序排列的历史记录直接适用于开发和训练预测性维护人工智能模型，以在设备发生故障之前进行预测。
全球预测性维护市场在 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] 尽管该数据集具有区域规模，并且可能包含非结构化数据（如 PDF 和现场照片），但其真实的运营性质使其成为一项有价值且稀有的资产。这种复杂性是高价值交易的可协商接入点，而市场正显示出如此显著的增长。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据可能为非结构化数据（项目文件、PDF、现场照片）；区域规模较小，限制了数据集的总量 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实了 Goliath Développement 拥有工业维护日志及相关运营记录的专有数据集。这种时间序列数据是构建预测性维护解决方案的 AI 供应商的关键资产，使他们能够训练预测设备故障并优化工业运营的算法。收购此数据集可在全球预测性维护市场中提供直接的竞争优势，该市场价值超过 130 亿美元，并预计将实现爆炸式增长。
See dimension details ↓- Dataset Specificity78
主导的“维护日志”，工业部门，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 Volume46
2 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
买家需求极高，这得益于一个快速扩张的市场，预计将以 24.30% 的复合年增长率增长，因为公司越来越多地采用人工智能来提高运营效率。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
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 Feasibility44
低难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength50
2 种证据类型，2 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
所有权=已拥有，授权=干净
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 个数据需求信号（0 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus42
盈余=低，5 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 Audit58
⚠ 审查 — 该公司是一家综合电气承包商，作为副产品生成运营数据（维护、建筑项目），但提供的 URL 指向一家专注于 CMMS 软件的不同实体。问题：初始提示链接到 'goliathdeveloppement.ca'，这是一家综合电气承包商，而不是软件公司。[1, 2, 4]；指定 URL 上的公司 Goliath Développement Inc. 是一家位于 Napierville 的家族式建筑和电气业务。
- Deep Qualification70
✓ 通过 — 目标是一家区域性综合电气承包商。‘维护日志数据集’是其维修和保养服务的合理副产品，但没有证据表明系统地收集数据，也没有任何迹象表明其出售数据或提供与 AI 相关的服务。数据所有权和商业化。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Maintenance logs
作为综合承包商和电工的服务描述证实了时间序列维护日志的生成，这是训练基于真实设备行为的预测性维护模型的高价值资产。
Inspection reports
该公司作为综合承包商的公开资料表明存在结构化的检查记录，这些记录为丰富维护数据集提供了重要的背景和特征。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Periodic
Update frequency
Periodic
Delivery
CSV export
Formats
CSV, PDF, Images
License
One-time license for AI model training and development for predictive maintenance applications.
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 proprietary, high-rarity time-series dataset of industrial maintenance logs is highly valuable for training predictive maintenance AI models. The rapidly growing global predictive maintenance market, projected to reach USD 13.65 billion by 2025 with a CAGR of 24.30%, drives significant demand for such exclusive operational data.
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
Goliathdeveloppement 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 grow at a CAGR of 24.30% (source: Fortune Business Insights). [1]. Investment score 47.5/100 (confidence 0.42). Recommended action: Acquire.
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