Dataset opportunity
1X — 工业传感器数据集机会
1X 持有的中等规模工业传感器数据集，可用于预测性维护和异常检测。
Score
37.5
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 size (indicative estimate)
全球预测性维护市场 = 2025 年为 136.5 亿美元，复合年增长率为 24.30%（来源：Fortune Business Insights）
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
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（个人身份信息审查）
Buyer persona
工业人工智能与维护优化供应商
1X 持有一个宝贵的工业传感器数据集，该数据集源自其在真实设施中运行的机器人，包含丰富的时间序列数据，包括事件流、图像集和物联网数据。这种多模态集合独特地适用于开发复杂的预测性维护模型，从而能够预测复杂工业环境中的设备故障。
全球预测性维护市场在 2025 年的估值为 136.5 亿美元，预计将以 24.30% 的复合年增长率增长，这凸显了对此类数据的巨大需求。[6] 尽管由于专有硬件和与 OpenAI 的潜在许可限制，数据提取在技术上很复杂，但该数据集的稀有性和操作深度为寻求抓住这一高增长市场份额的 AI 买家提供了重大的战略价值。[6] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据包括私人住宅和工业设施的高分辨率视频和空间测绘；专有硬件-软件集成使数据提取在技术上很复杂；与 OpenAI 的战略合作可能会限制第三方的数据许可。· 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 1X 从部署在全球工业设施中的自主人形机器人生成专有时间序列数据。此独特数据集捕获了真实的运营事件，对于开发下一代预测性维护解决方案的工业 AI 供应商来说极具价值。在一个预计到 2025 年将超过 130 亿美元的市场中，此数据为训练优化工业任务和减少停机时间的模型提供了独特的优势。
See dimension details ↓- Dataset Specificity90
主导的“物联网数据”，工业领域，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 Demand90
AI 买家需求极高，这得益于预测性维护市场的快速扩张，该市场正以 **24.30% 的复合年增长率**增长。[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 Feasibility14
高难度，独立
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 Independence90
独立
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 — 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 Audit25
⚠ 审查 — 1X 的核心业务是开发和销售 AI 驱动的人形机器人，使其成为 AI/机器人供应商，而不是休眠运营数据的持有者。问题：该公司的主要产品是 AI 软件及其运行的机器人硬件，这明确是一个排除标准。[1, 5, 10]；1X 的业务模式包括其机器人的直接销售和机器人即服务 (RaaS) 订阅，这意味着它对智能和自动化收费；其机器人收集的数据
- Deep Qualification80
⚠ 需要审查 — 1X 是一家机器人公司，而不是数据销售商；它作为副产品持有其工业 (EVE) 和家用 (NEO) 机器人的运营数据。“工业传感器数据集”是可信的，因为 EVE 被部署在工厂中。然而，数据所有权是混合且复杂的，并且与 [许可受限] 的战略合作
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据表明持有者从其自身高性能伺服电机生成专有时间序列数据，为组件级预测性维护模型提供了独特的信号。
Image collection
此样本展示了公司在开发先进人形机器人方面的经验，提供了其工业数据生成所依据的先进硬件和软件系统的背景证据。
Event streams
这证实了在客户现场运行的自主机器人生成了时间序列事件数据，为对工业任务性能和故障模式进行建模提供了宝贵的真实数据。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, Event Streams, Image Collection, IoT Data
License
One-time license for predictive maintenance model development and deployment.
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 dataset's value is driven by its high rarity as proprietary, multi-modal time-series data from industrial androids, crucial for predictive maintenance. The strong market demand, evidenced by the $13.65B global predictive maintenance market with a 24.30% CAGR, 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
1X Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $12.3 Billion in 2024, CAGR 29.7% (source: Custom Market Insights). [8]. Investment score 45.0/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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