Dataset opportunity
Solutionf — 工业运营数据集机会
Solutionf 持有的中等工业运营数据集，可用于工业监控和预测。
Score
66.9
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 = 2025 年为 366.4 亿美元，复合年增长率为 16.92%。
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
广泛使用测试台和模拟技术用于氢能和混合动力推进
source ↗
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
出行
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待明确
Buyer persona
工业人工智能集成商
Solutionf 持有一个宝贵的时间序列数据集，该数据集源自其在出行领域的工业运营，涵盖 business_records、industrial_data 和 iot_data。这些高度技术性的遥测和运营数据集合特别适合用于 AI 驱动的工业监控用例，例如预测性维护和实时流程优化。
全球工业分析市场（利用此类数据）在 2025 年的估值为366.4 亿美元，预计将以16.92% 的复合年增长率增长。[1] 尽管存在潜在的访问复杂性——例如其在 GCK 集团内的地位、与 OEM 客户的知识产权共享限制以及对领域专业知识的需求——但该数据的稀有性和已证实的市场增长使其成为复杂 AI 买家的引人注目的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：GCK 集团的子公司，可能会集中数据策略；与汽车和航空航天 OEM 客户可能存在知识产权共享限制；需要领域专业知识的高度技术性工业和遥测数据 · 公司：GCK（Green Corp Konnection）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 Solutionf 拥有来自先进热能、电动和氢能发动机的稀有专有时间序列性能数据集。该资产直接服务于蓬勃发展的工业分析市场，该市场预计到 2025 年将达到 366.4 亿美元，使人工智能集成商能够构建复杂的工业监控和预测性维护模型。随着各行业竞相实现脱碳，来自测试台和真实原型车的这种独特数据对于优化下一代推进系统至关重要。
See dimension details ↓- Dataset Specificity78
主导的“industrial_data”，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 Demand90
人工智能买家需求旺盛，这得益于工业分析市场的快速增长，预计该市场将以 16.92% 的复合年增长率扩张，因为公司越来越多地寻求数据以实现实时优化。[1]
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 Feasibility15
中等难度，GCK（Green Corp Konnection）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. - 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 Independence50
GCK（Green Corp Konnection）的子公司
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 Surplus92
盈余=高 — 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 — Solution F 是一个理想的目标：它是一家专注于高性能发动机工程的成熟中小企业，作为其核心业务的副产品，它从自己的测试台生成大量专有数据，并且没有迹象表明会将其作为产品出售。问题：该公司于 2022 年被 GCK 集团收购，这可能会使数据所有权讨论复杂化。[2, 8]；他们在竞争性赛车运动和国防部的工作表明，数据可能高度敏感并受严格保密协议的约束。
- Deep Qualification80
✓ 通过 — Solution F 是一家工程服务公司，专注于为 OEM 客户定制动力总成设计和测试。虽然它从自己的研发和测试台生成非常有价值的时间序列数据，但从客户项目中生成的数据很可能是客户拥有的，这使得数据访问变得复杂。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
持有者从先进的测试台生成精确的发动机性能和耐久性时间序列数据，为训练和验证预测性维护算法提供了一个受控的高保真源。
IoT / sensor data
该数据集包括从原型车辆和飞机捕获的真实世界物联网性能数据，提供了对下一代推进系统在受控实验室环境之外如何运行的宝贵见解。
business_records
该集合通过研发记录得到丰富，详细介绍了氢燃料电池的集成和优化，为开发高增长脱碳领域内的专业人工智能应用提供了关键的领域知识。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Solutionf 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 = $36.64B in 2025, CAGR 16.92% (source: Mordor Intelligence). [1]. Investment score 66.9/100 (confidence 0.49). Recommended action: Partnership (group-level).
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