Dataset opportunity
Protorque — 工业运营数据集机会
Protorque 持有的中等工业运营数据集，可用于工业监控和预测。
Score
48
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)
全球工业分析市场 = 2022 年为 352 亿美元，复合年增长率 >12%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-09-22
Protorque koppelingen en V-snaren
aandrijftechniek.nl ↗
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.
- 📣Press / announcement
被 Boninfante Friction 收购以整合传动系统技术和数据
source ↗
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
移动出行
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权
Buyer persona
工业人工智能集成商
Protorque 拥有一个宝贵的工业运营数据集，由时间序列数据组成，内部业务记录、工业数据和物联网数据流均可证明。该数据集包含其运营中高度专业化的机械工程和流体动力学规范，使其直接适用于复杂的工业监控人工智能模型，旨在提高移动行业的预测性维护、性能调优和运营效率。
工业分析的全球市场在 2022 年的价值为352 亿美元，预计将以超过 12% 的复合年增长率扩张。虽然由于 Protorque 是 Boninfante Friction 的子公司以及一些专有的测功机测试日志可能未数字化，因此访问需要进行谈判，但该数据的固有稀有性和专业性质使其成为这个快速增长市场中买家的高价值资产。⚠ 尽职调查（有价值的数据，可协商访问）：自 2020 年起成为 Boninfante Friction 的子公司；数据包括高度专业化的机械工程和流体动力学规范；专有的测功机测试日志可能存储在内部且未数字化以供销售 · 公司：收购 Boninfante Friction。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Protorque 拥有一个稀有的专有数据集，该数据集捕获了工业组件在极端压力下的性能，结合了受控测试和真实世界遥测。这种独特的时间序列数据组合深受工业人工智能集成商的追捧，用于构建和验证复杂的工业监控和预测性维护模型。在全球工业分析市场年增长率超过 12% 的背景下，该数据集为开发下一代传动系统效率和可靠性的人工智能解决方案提供了独特的竞争优势。
See dimension details ↓- Dataset Specificity78
主导的“工业数据”，移动出行行业，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 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 Demand85
人工智能买家需求旺盛，这得益于工业分析解决方案的强劲市场增长，预计复合年增长率超过 12%。
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 Feasibility15
中等难度，收购 Boninfante Friction
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 License92
所有权=公司所有，许可=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence45
收购 Boninfante Friction
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 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，1 个近期外部信号 — 超出已货币化的专有数据
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 Audit67
⚠ 审查 — 该公司不是一个好的目标，因为其核心业务是制造和销售产品（高性能扭矩转换器），而不是提供数据作为副产品的服务。问题：初始 URL (protorque.net) 指向一家英国的动力传输零件分销商，这与美国高性能零件制造商是不同的实体；该公司的业务是销售实体产品，而不是提供产生休眠数据运营服务；有第三家公司 Pro-Torque (ptenergy.com) 为石油和天然气行业提供服务，本应是合适的，但这是一个独立的实体。
- Deep Qualification90
✓ 通过 — Protorque 是高性能汽车扭矩转换器的制造商。其内部研发，包括大量数据采集和测功机测试，作为其核心业务的副产品，生成了一个有价值的公司拥有的工业运营数据集。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
该数据集包含来自最先进的测功机测试的高保真时间序列数据，为校准预测组件在特定负载下性能的人工智能模型提供了受控的、细粒度的基线。
IoT / sensor data
持有者拥有来自专业赛车环境的独特真实世界遥测数据，提供了关于传动系统应力和效率的宝贵数据，用于训练在不可预测的高性能条件下的鲁棒算法。
business_records
该集合包括关键机械组件的专有设计文档，提供了重要的结构背景，丰富了用于高级故障分析和数字孪生应用的时间序列数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Protorque Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial Analytics market = $35.2 Billion in 2022, CAGR >12% (source: Global Market Insights, Inc.). Investment score 48.0/100 (confidence 0.49). Recommended action: Partnership (group-level).
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