Dataset opportunity
Jbs Tech — 维护日志数据集机会
Jbs Tech 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
67.3
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在 2025 年的价值为 136.5 亿美元，预计复合年增长率为 24.30%（来源：Fortune Business Insights）
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
工业
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待澄清
Buyer persona
工业人工智能与维护优化供应商
JBS Tech 持有一个宝贵的维护日志数据集，以时间序列模式呈现，源自其客户现场的工业机器。数据包括 PLC 和视觉系统输出、`image_collection` 证据以及详细的`maintenance_logs`，使其成为开发和训练预测性维护算法以预测设备故障的优质资产。
全球预测性维护市场在 2025 年的估值为136.5 亿美元，预计将以惊人的 24.30% 的复合年增长率增长。[4] 这种高增长预示着买家需求对支持 AI 解决方案的数据存在强烈需求。尽管存在数据所有权澄清和与专有软件接口等访问复杂性，但该数据集的稀有性及其真实的运营性质使其成为面向工业领域的 AI 开发人员高度宝贵且抢手的资源。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据由第三方客户现场运行的机器生成；需要澄清机器制造商（JBS）和运营商之间的数据所有权；提取需要与专有 PLC 和视觉系统软件接口 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明，工业技术公司 Jbs Tech 作为其核心业务（设计、制造和维护工业机器）的直接结果，生成专有维护日志。这些时间序列数据是训练复杂的预测性维护算法的原材料。在一个预计年增长率超过 24% 的市场中，该数据集为 AI 供应商提供了一个关键资产，以构建更准确的模型，减少最终客户的运营停机时间，并通过卓越的优化能力来抢占市场份额。
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 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 Demand90
AI 买家需求极高，这得益于预测性维护市场的快速扩张，该市场正以 24.30% 的复合年增长率增长。[4]
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 License36
所有权=混合，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 Orientation50
2 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 Surplus70
盈余=中等，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 Audit100
✓ 良好目标 — JBS Tech 是一家荷兰中小型企业，专注于工业自动化、机器人和机器维护，使其成为一个强有力的候选者，很可能在其核心运营业务的副产品中生成有价值的、休眠的维护日志数据。问题：初步搜索结果显示几家名称相似但无关的公司，需要仔细筛选以专注于荷兰的正确实体；该公司为他人制造和维护系统；需要确认
- Deep Qualification90
⚠ 需要审查 — JBS Tech 是一家机器制造商和服务提供商。维护数据是在客户现场生成的，因此很可能归客户所有，JBS 无法直接出售或许可。[数据归公司客户所有]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>A la veille de l’entrée en vigueur au 1er juillet à l’échelle de l’UE de droits de douane forfaitaires de 3€ sur les petits colis de moins de 150 €, le gouvernement a annoncé ce matin la suspension de la taxe nationale sur ces même petits colis, instaurée le 1er mars 2026. En se donnant […]</p> <p>L'article <a href="https://supplychainmagazine.fr/nl/2026/la-taxe-petit-colis-a-la-francaise-sefface-devant-celle-de-lue/">La taxe petits colis à la française s’efface devant celle de l’UE</a> est apparu en premier sur <a href="https://supplychainmagazine.fr">Supply Chain Magazine</a>.</p>”
- “<p>L’utilisation de l’IA a franchi une nouvelle étape chez le pionnier français du drive alimentaire Chronodrive, filiale depuis 2012 du groupe Auchan. Après avoir choisi l’an dernier la plateforme de l’éditeur Bamboo Rose pour fiabiliser ses prévisions de ventes promotionnelles, c’est le déploiement de celle de Relex Solutions pour optimiser ses réapprovisionnements en fruits et […]</p> <p>L'article <a href="https://supplychainmagazine.fr/nl/2026/chronodrive-accelere-dans-les-previsions-ia-avec-relex/">Chronodrive améliore ses prévisions via l’IA avec Relex Fresh</a> est apparu en”
- “<p>Après quasi 12 ans chez Zebra Technologies, dont il dirigeait depuis 2022 les ventes Europe du Sud & Afrique, Frédéric Bismuth a rejoint l’éditeur-intégrateur Solutys Group comme directeur général de sa nouvelle Business Unit Traçabilité. Sa création fait écho à l’acquisition l’été dernier par Solutys de ses confrères Nedap France et Rayonnance, deux acteurs de […]</p> <p>L'article <a href="https://supplychainmagazine.fr/nl/2026/solutys-recrute-frederic-bismuth-pour-diriger-sa-bu-tracabilite/">Solutys recrute Frédéric Bismuth pour diriger sa BU Traçabilité</a> est appa”
Industrial data
公开声明证实了持有者从事工业机器的设计、制造和维护业务，直接生成了 AI 供应商开发流程优化解决方案所必需的时间序列数据。
Image collection
该公司使用机器视觉技术识别组件，这表明存在次要但有价值的图像数据来源，可用于专注于质量控制或自动化检查的 AI 模型。
Maintenance logs
这些证据明确证实了该公司的服务包括机器维护和维修，确认了训练和验证预测性 AI 模型所需的专有日志的运营来源。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Periodic
Update frequency
Periodic
Delivery
API
Formats
JSON, CSV
License
One-time license for internal use in predictive maintenance model development and training.
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 value is driven by its high rarity as proprietary industrial maintenance logs, crucial for training predictive maintenance AI. Strong market demand is evidenced by the projected 24.30% CAGR of the global predictive maintenance market.
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Jbs Tech 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 $13.65 billion in 2025, projected to grow at a CAGR of 24.30% (source: Fortune Business Insights). Investment score 67.3/100 (confidence 0.49). Recommended action: Acquire.
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