Dataset opportunity
Cylib — 工业运营数据集机会
Cylib 持有的中等工业运营数据集，可用于工业监控和预测。
Score
71.4
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
53%
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 = 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.
- 📝Published article
外部生命周期评估（LCA）验证碳足迹
source ↗
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
定期
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
Cylib 持有专有的工业运营数据集，该数据集由其试点和工业规模电池回收工厂的时间序列数据组成。这些数据捕获了独特的、受知识产权保护的化学过程，使其在开发和训练工业监控人工智能模型方面具有极高的价值。该数据集还包括来自 SIB:DE 联盟的下一代钠离子电池的研发数据，提供了对尖端工艺的稀有见解。
全球工业分析市场是该数据价值的核心驱动力，2025 年市场价值为 366.4 亿美元，预计将以 16.92% 的复合年增长率增长。[15] 尽管由于其与专有化学工艺和受知识产权保护的方法相关而存在访问复杂性，但该数据集的稀有性及其与这个高增长市场的直接适用性使其成为寻求竞争优势的人工智能开发者的战略资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据与专有化学工艺和受知识产权保护的回收方法相关；来自试点和工业规模工厂的工业工艺数据；来自 SIB:DE 联盟的下一代钠离子电池的研发数据。· 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 Cylib 拥有来自经过验证的、生态高效的电池回收工业流程的专有时间序列数据。该数据集是工业人工智能集成商开发工业监控和流程优化模型的稀有资产，使他们能够进入快速增长的工业分析市场。凭借已证明的 >90% 的回收效率和已验证的减少碳足迹，这些数据为构建优化可持续制造和循环经济运营的人工智能提供了独特的信号。
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 Volume64
5 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness62
API/开放（当前）
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显著增长，预计该市场将以 16.92% 的复合年增长率扩张。[15]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility62
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility4
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 Strength68
3 种证据类型，5 个命中
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 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 Audit92
✓ 良好目标 — Cylib 是一个良好目标，因为它拥有一个真实的工业运营（电池回收），该运营会产生有价值的材料和工艺数据作为副产品，并且它不将数据或软件作为其核心产品进行销售。问题：该公司正在快速扩张，并获得了大量风险投资支持，包括来自保时捷和博世等主要汽车制造商的投资，这可能会使；预计工业规模运营将于 2026 年第四季度开始，因此目前的运营数据量来自其试点生产线，并将大幅增长。
- Deep Qualification80
✓ 通过 — Cylib 是一个强大的数据持有者候选者。其核心业务是回收电池以销售回收的原材料，使其试点和工业工厂的运营数据成为有价值的副产品。由于研发联盟，所有权可能混合，并且数据转售的许可权未确定，因为无法获得 B2B 合同。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Developer portal
这些证据表明数据创建背后有一个深入的、拥有 25 个合作伙伴的工业生态系统，让买家对其可信的来源和实际应用充满信心。
Industrial data
这些证据证实了来自一项实现超过90% 回收效率的新型工业流程的专有时间序列数据的存在，这是构建下一代可持续制造运营模型的关键资产。
Regulatory records
这些证据提供了外部验证，证明碳足迹减少了 80%，这是买家构建必须满足严格可持续性和合规性目标的 AI 解决方案的关键证明点。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Cylib 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 = $36.64 billion in 2025, CAGR 16.92% (source: Mordor Intelligence). Investment score 71.4/100 (confidence 0.53). Recommended action: Acquire.
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