Dataset opportunity
Tillen — 工业运营数据集机会
Tillen 持有的中等工业运营数据集，可用于工业监控和预测。
Score
67.8
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)
全球工业分析市场在 2025 年的估值为 366.4 亿美元，预计到 2031 年将达到 973.8 亿美元，复合年增长率为 16.92%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-25
Tillen delivers Fit-for-Purpose Lifting Tools for Offshore Wind
windpowernl.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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- ✨Signal
提供结构验证和载荷测试服务，生成技术性能数据
source ↗
Profile
Dataset profile
Type
工业运营数据集
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 — 许可权待澄清
Buyer persona
工业人工智能集成商
Tillen 持有一个重要的工业运营数据集，主要由其工业项目中的时间序列数据组成。这包括详细的业务记录、实时事件流和广泛的工业数据，使其非常适合开发和训练工业监控人工智能模型。数据捕获了运营绩效、设备行为和流程工作流随时间的变化。
全球工业分析市场在 2025 年的估值为 366.4 亿美元，预计到 2031 年将达到 973.8 亿美元，复合年增长率为 16.92%。[2] 这种显著的增长凸显了此类数据集的巨大价值。虽然访问需要处理客户保密协议和孤立的软件系统，但这种真实运营数据的稀缺性和深度为旨在引领这一高增长市场的买家提供了显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：工程数据可能受特定项目的客户保密协议约束；技术数据集可能存储在孤立的 CAD 和结构分析软件中；定制设计的知识产权所有权需要根据客户合同进行验证 · 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 Tillen 拥有来自真实工业资产测试和运营监控的专有时间序列数据。这种高稀缺性数据集非常适合训练和验证用于工业监控、预测性维护和异常检测的人工智能模型。对于人工智能集成商而言，通过利用已被证明能在复杂的陆上和海上环境中最大限度地减少停机时间的数据，这是为预计到 2031 年将达到 973.8 亿美元的工业分析市场构建差异化解决方案的关键机会。
See dimension details ↓- Dataset Specificity78
主导的“工业数据”，行业为工业，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 Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求非常高，这得益于工业分析市场 16.92% 的强劲复合年增长率预测。[2]
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 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 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 Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 个数据胃口信号（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，1 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 — Tillen 是一个绝佳的目标，因为它是一家中小型工程公司，为工业客户设计和制造定制重型起重和搬运设备，在其核心的非数据业务中产生有价值的运营数据。
- Deep Qualification70
⚠ 需要审查 — Tillen 是一家工程服务公司，为特定客户项目设计和制造定制重型起重解决方案。产生的数据（设计、运营指标）是这些服务的副产品，并且很可能归客户所有，这在定制工程合同中是标准做法。由于缺乏公开的法律文件，数据转售权未知。[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.
Industrial data
这些时间序列数据捕获了结构验证和认证测试的结果，为训练预测资产完整性和负载下性能的模型提供了高保真信号。
business_records
这些文件代表了被测资产的底层工程原理和定制设计，提供了丰富时间序列数据的基本元数据，以实现更准确的模型训练。
Event streams
这些时间序列数据反映了陆上和海上设施等不同环境中的实时运营绩效，直接支持专注于最大限度地减少停机时间和优化流程的人工智能应用。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Tillen Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial Analytics market was valued at $36.64 billion in 2025, projected to reach $97.38 billion by 2031, at a CAGR of 16.92% (source: Mordor Intelligence). [2]. Investment score 67.8/100 (confidence 0.49). Recommended action: Acquire.
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