Dataset opportunity
Labellebatterie — 检验报告数据集机会
Labellebatterie 持有的中等检验报告数据集，可用于文档智能和缺陷检测。
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
42%
Action
数据共享协议
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)
全球电动汽车电池二手寿命分析市场预计到 2030 年将达到 34.6 亿美元，复合年增长率为 28.1%。
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
检验报告数据集
Modality
文档
Sector
出行
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（PII 审查）
Buyer persona
文档 AI / IDP 供应商
Labellebatterie 持有文档模态的检验报告数据集，以 `inspection_records` 和原始 `iot_data` 为证。这些报告详细说明了电动汽车电池的健康状况和性能，非常适合用于文档智能用例，以从非结构化证书中提取结构化信息。该数据集的价值通过专有的诊断层得到增强，该层将原始 OEM 数据转化为标准化、可操作的见解。
这些数据直接服务于电动汽车电池二手寿命分析市场，预计到 2030 年将增长到34.6 亿美元，复合年增长率为 28.1%。 [6] 虽然访问权限受限于 GDPR 敏感的 VIN 和遥测数据，但核心资产是聚合的多品牌纵向退化数据。 [6] 这些独特、专有的信息代表了一个巨大的沉睡资产，尽管存在访问障碍，但为训练预测模型提供了巨大的价值。 [6] ⚠ 尽职调查（有价值的数据，可协商访问）：数据集包含与用户关联的 VIN 和车辆遥测数据（GDPR 敏感）；专有的诊断层位于原始 OEM 数据和最终证书之间；聚合的多品牌纵向退化数据是主要的沉睡资产 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明 Labellebatterie 拥有一个稀有、专有的数千份独立电池诊断报告数据集，这些报告与车辆本身的真实物联网数据独特配对。这个集合是文档 AI 供应商的宝库，使他们能够训练和验证模型，以自动化从复杂的技术文档中提取关键电池健康指标。在一个快速增长的电动汽车二手寿命市场中，该市场预计到 2030 年将达到近 35 亿美元，该数据集为在出行领域大规模自动化电池健康评估提供了关键的竞争优势。
See dimension details ↓- Dataset Specificity78
主导的“inspection_records”，出行领域，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 Volume46
2 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
适用于文档智能
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI 买家需求旺盛，这得益于电动汽车电池二手寿命分析市场的指数级增长（复合年增长率 28.1%）以及训练预测电池健康模型所需的专有数据的关键需求。 [6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
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 Feasibility30
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 Strength50
2 种证据类型，2 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
所有权=公司所有，许可=gdpr_敏感
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 Orientation73
3 个数据胃口信号（3 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 Audit67
⚠ 审查 — 该公司的核心业务是销售电池健康证书和分析，这是一种销售智能的形式，因此不适合。问题：该公司，现称为 Moba，专门开发算法并销售电池健康证书作为其主要服务。 [2, 4, 7]；他们的产品是供用户测试其电动汽车电池的套件和应用程序，作为回报，他们会收到一份证书（一份“健康状况”报告）。 [1, 7, 11]；这是一个“销售智能”模式，而不是一家公司作为另一项运营业务的副产品而产生沉睡数据。 [2, 3]；该公司从“La Belle Batterie”更名为“Moba”，以支持国际扩张，这表明其专注于扩展其数据/智能产品。 [2, 10
- Deep Qualification70
✓ 通过 — 该公司是一家数据持有者，作为其诊断服务的副产品生成有价值的电动汽车电池健康证书，但由于未找到法律文件，因此聚合数据集的数据所有权和许可权未知。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这是直接从多个电动汽车品牌收集的真实时间序列数据，为验证 AI 模型和执行高级电池老化分析提供了所需的结构化真实情况。
Inspection reports
持有者拥有数千份专有、独立的诊断报告，代表了任何针对汽车和能源行业的文档智能供应商的高价值、专业培训语料库。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Labellebatterie Inspection Reports — a Moderate inspection reports dataset (Document modality) in the mobility domain. Primary AI use-case: Document Intelligence. Market signal: Global Electric Vehicle Battery Second-Life Analytics Market to reach $3.46 billion by 2030, CAGR 28.1% (source: The Business Research Company). [6]. Investment score 48.0/100 (confidence 0.42). Recommended action: Data Sharing Agreement.
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