Dataset opportunity
Protorque — 移动遥测数据集机会
Protorque 持有的中等移动遥测数据集，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)
全球汽车预测性维护市场 = 2023 年为 220 亿美元，复合年增长率为 18.6%。
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.
Profile
Dataset profile
Type
移动遥测数据集
Modality
时间序列
Sector
移动
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 许可干净
Buyer persona
工业人工智能与维护优化供应商
Protorque 持有一个庞大的移动遥测数据集，其中包含高性能汽车组件的时间序列数据。这些数据源自内部业务记录、工业数据和物联网传感器，捕获了高性能机械应力和流体动力学的详细指标，使其非常适合训练预测性维护模型以预测组件故障。
全球汽车预测性维护市场在 2023 年的估值为220 亿美元，预计将以18.6% 的复合年增长率增长，这表明巨大的商业价值。[1] 虽然访问需要协商，因为该数据集与专业赛车队共同生产，并且是 Boninfante Friction 的核心资产，但该数据的稀有性和深度为开发先进的 AI 解决方案提供了显著的竞争优势。⚠ 注意（有价值的数据，可协商访问）：自 2020 年起成为 Boninfante Friction 的子公司；数据涉及高性能机械应力和流体动力学；部分数据可能与专业赛车队共同生产 · 公司：Boninfante Friction 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 Protorque 拥有独特的专有数据集，其中包含来自扭矩转换器运行的详细遥测数据，包括实际性能和高应力测试条件。这些时间序列数据的集合是工业人工智能供应商开发复杂车辆传动系统预测性维护模型的理想训练数据。在全球汽车预测性维护市场价值超过 220 亿美元且快速增长的情况下，该数据集为构建关键、高磨损汽车组件的高度准确模型提供了难得的机会。
See dimension details ↓- Buyer Demand90
人工智能买家需求极高，这得益于该特定数据类型的市场快速扩张，复合年增长率为 18.6%。[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 Feasibility15
中等难度，Boninfante Friction 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. - Dataset Specificity78
占主导地位的“iot_data”，行业为移动，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 次证据命中
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
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - 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 Independence50
Boninfante Friction 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…). - Dormant Data Surplus92
盈余=高，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 Audit58
⚠ 审查 — Protorque 的核心业务是直接向消费者制造和销售高性能扭矩转换器，而不是通过其他服务产生数据。问题：初步线索具有误导性；Protorque.com 是汽车零部件（扭矩转换器）的制造商，而不是移动/遥测公司；该公司的商业模式围绕销售实体产品，拥有电子商务网站和“扭矩转换器推荐引擎”来帮助客户；虽然他们使用“数据采集与测试”来开发和定制其产品，但这些数据用于内部研发和帮助客户选择产品；有一家独立的、不相关的公司名为 ProTorque Energy，为石油和天然气行业提供服务并使用遥测技术进行运营，这可能
- Deep Qualification80
✓ 通过 — Protorque 是高性能扭矩转换器的制造商，拥有来自研发和赛车的合理遥测数据，但由于团队合作，数据所有权可能混合，并且此特定数据的许可权未公开定义。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据表明收集了运行遥测数据，捕获了实际扭矩转换器性能变量，这对于训练人工智能模型以诊断和预测组件退化非常有价值。
Industrial data
这代表了来自受控应力测试环境的时间序列数据，提供了对组件在极端条件下的行为的关键见解，并能够对特定的故障模式进行建模。
business_records
这些证据指向一个专有的配置数据数据库，该数据库将组件规格映射到运行环境，使人工智能买家能够情境化遥测数据并构建更丰富的特征集。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Protorque Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Automotive Predictive Maintenance market = $22 billion in 2023, CAGR 18.6% (source: market.us). [1]. Investment score 47.5/100 (confidence 0.49). Recommended action: Partnership (group-level).
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