Dataset opportunity
Clevon — 移动遥测数据集机会
Clevon 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
70.5
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
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
全球车辆预测性维护市场在 2024 年的估值为 46.6 亿美元，预计复合年增长率为 17.5%（2025-2034 年）。[1]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-12
AI in warehousing: Akash Gupta’s vision for the future
therobotreport.com ↗ - 📰press2026-06-12
Gatik to bring autonomous freight to PepsiCo’s North American supply chain
therobotreport.com ↗ - 📰press2026-06-12
Canada Post to end door-to-door delivery for 620K addresses by 2027
freightwaves.com ↗ - 📰press2026-06-12
b2wise fin prêt pour bousculer le marché des APS
supplychainmagazine.fr ↗ - 📰press2026-06-12
Stef s’agrandit à Reichstett pour les glaces de Mars Wrigley
supplychainmagazine.fr ↗
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
受限
Legal
公司所有 — GDPR 敏感（PII 审查）
Buyer persona
工业人工智能与维护优化供应商
Clevon 拥有来自其 CLEVON 1 自动驾驶配送车辆的宝贵移动遥测数据集。该数据集主要包含时间序列数据，包括 `iot_data`、`event_streams` 和 `image_collection`，这些数据捕获了专有车辆传感器详细的运行历史。这些丰富、高保真的数据非常适合开发和训练预测性维护人工智能模型，以预测组件故障并优化车辆正常运行时间。
该数据服务于全球车辆预测性维护市场，该市场在 2024 年的估值为46.6 亿美元，预计将以 17.5% 的复合年增长率增长。[1] 尽管存在访问复杂性——例如图像中的个人身份信息 (PII) 需要匿名化，近期收购导致数据治理不断演变，以及数据与专有CLEVON 1硬件的关联——但该数据集的稀有性和直接的现实世界适用性使其成为一项优质资产。对于人工智能买家而言，它提供了一个独特的机会，可以利用专门的物联网数据源，在自动驾驶物流领域获得显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据包含来自公共道路摄像头的 PII（面部、车牌），需要匿名化；被美国公司 indiGOtech 近期收购可能导致数据治理集中化；运营数据与专有硬件 (CLEVON 1) 传感器相关 · 公司：indiGOtech 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 Clevon 拥有一个稀有的、专有的数据集，其中包含商业运营的自动驾驶电动汽车车队的纵向遥测数据。这些数据在真实世界的公共道路上运行了三年多，是工业人工智能供应商构建下一代预测性维护解决方案的关键资产。在年增长率超过 17% 的车辆预测性维护市场中，这些独特的运营数据为开发和验证更准确的故障预测模型提供了强大的竞争优势。
See dimension details ↓- Dataset Specificity90
占主导地位的 'iot_data'，行业为移动，3 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 Rarity82
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 Value84
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. - Buyer Demand88
全球汽车预测性维护市场严重依赖移动遥测数据，预计将从 2023 年的 220 亿美元增长到 2032 年的 1000 亿美元，这反映了非常强劲的复合年增长率 (CAGR)。
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 Feasibility15
中等难度，indiGOtech 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 License62
所有权=已拥有，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
indiGOtech 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，5 个近期外部信号 — 已货币化的专有数据之外
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 Audit75
⚠ 审查 — Clevon 的核心业务是开发和提供自动驾驶汽车技术和服务，该公司最近被收购；它不是休眠数据的持有者，而是人工智能/机器人解决方案的供应商。问题：公司的核心产品是人工智能/机器人技术，而不是其他业务的副产品；该公司被美国科技公司 indiGO Technologies 收购，现在将把其技术整合到新的电动汽车中，用于配送和拼车服务；该公司的网站明确指出
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该数据集包含车辆在公共道路上商业运营期间三年多的连续时间序列遥测数据，为训练故障预测算法提供了丰富的历史基础。
Image collection
这些遥测数据来自一支现代电动汽车车队，其系统已在实际应用中得到验证，确保了数据的相关性，可应对当今的维护挑战。
Event streams
数据源自一个受监督的车队，这些车辆同时运行，提供了训练强大人工智能模型所需的规模，这些模型可以跨多个资产和运行条件进行泛化。
Marketplace
Dataset details
Geographic coverage
Global
Time range
3+ years historical, rolling real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for internal use in developing and deploying predictive maintenance models.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This proprietary, high-fidelity telemetry dataset from Clevon's autonomous delivery vehicles is rare and highly valuable for predictive maintenance AI. The strong market demand for vehicle predictive maintenance, projected to grow significantly, supports a premium valuation.
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Clevon Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global predictive maintenance for vehicles market was estimated at USD 4.66 billion in 2024, with a projected CAGR of 17.5% (2025-2034). [1]. Investment score 70.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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