Dataset opportunity
Probot — 工业传感器数据集机会
Probot 持有的海量工业传感器数据集，可用于预测性维护和异常检测。
Score
45
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
69%
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.
- 🧑💻Hiring a data role
雇佣全栈软件开发人员进行机器人和应用程序开发
source ↗
Profile
Dataset profile
Type
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
大量
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
混合所有权 — 清晰可授权
Buyer persona
工业人工智能与维护优化供应商
Probot 持有一个重要的工业传感器数据集，该数据集由其定制机器人单元和移动平台生成的时间序列数据组成。此集合包含详细的操作、物联网和开发者级别的数据，是训练预测性维护模型以预测设备故障和优化维护计划的丰富来源。该数据的价值源于其来自多样化工业应用的真实世界起源。
全球预测性维护市场是衡量此数据价值的关键指标，预计到 2025 年市场规模将达到 136.5 亿美元，并以 24.30% 的复合年增长率 (CAGR) 增长。[6] 这一显著的市场规模和增长突显了对此类数据集的强劲需求。[6] 尽管由于客户数据所有权、专有研发和知识产权共享限制，访问需要协商，但此操作数据的稀有性和特异性为开发高性能人工智能解决方案提供了独特的机会。⚠ 注意（有价值的数据，可协商访问）：定制机器人单元的操作数据可能归工业客户合同所有；移动平台（如 'Dolly'）的研发数据很可能是专有的；研究合作（例如 VTT）的数据可能存在知识产权共享限制。· 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 Probot 拥有其专业工业机器人和自动化系统生成的专有时间序列数据。该数据集直接满足了高增长的预测性维护市场需求，该市场预计到 2025 年将达到 136.5 亿美元。对于工业人工智能供应商而言，这种稀有的传感器数据是训练优化运营、预测设备故障和减少停机时间的算法的关键原材料，使其成为及时且具有战略意义的资产。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，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 Volume82
8 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
人工智能买家需求受预测性维护市场快速增长的驱动，该市场预计将以 24.30% 的复合年增长率扩张，从而产生了对高质量工业传感器数据的强烈需求。[6]
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 Strength95
5 种证据类型，8 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License58
所有权=混合，许可=清晰
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 Surplus70
盈余=中等，5 个近期外部信号 — 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 Audit50
⚠ 审查 — 该公司的核心业务是销售机器人集成服务和定制自动化解决方案，而不是经营以数据为副产品生成数据的业务。问题：公司的核心业务是销售服务和智能（机器人/自动化/人工智能/XR 解决方案），这属于明确的排除标准；他们是系统集成商和技术供应商，而不是数据持有者；他们系统生成的数据将归其客户所有，而不是 Probot；该公司的
- Deep Qualification80
✓ 通过 — Probot 是一家以服务为中心的公司，构建定制机器人解决方案，而不是数据销售商。其系统生成的操作数据极有可能被视为“工业传感器数据集”，但所有权复杂，可能归定制构建的客户所有，或与欧盟研究项目的合作伙伴共享。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>X Square Robots' system combines foundation models, robotics hardware, a data pipeline system, and real-world deployments.</p> <p>The post <a href="https://www.therobotreport.com/x-square-robot-brings-valuation-2-8b-four-consecutive-funding-rounds/">X Square Robot brings its valuation to $2.8B with four consecutive funding rounds</a> appeared first on <a href="https://www.therobotreport.com">The Robot Report</a>.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/t8Wa9YjidkCerVvz9WTjZTpRNu3FjUh6pXy4fI-WaAM/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9JTUdfMzc1MmR1cGUuanBn.webp" /></div></figure><p>Executives at Automate discussed the future of robotics, from bipedal prototypes and increased automation demand to growing accessibility for manufacturers of all sizes.</p>”
- “<p>morph launched a physically intelligent soft robotics platform that designs and manufactures what it calls “soft robotic cells.” </p> <p>The post <a href="https://www.therobotreport.com/soft-robotic-cells-from-morph-embed-physical-ai-into-hardware/">Soft, robotic cells from morph embed physical AI into hardware</a> appeared first on <a href="https://www.therobotreport.com">The Robot Report</a>.</p>”
Developer portal
面向公众的技术文章和职业故事证实了 Probot 的内部软件开发和机器人专业知识，这表明其数据生成环境成熟且文档齐全。
IoT / sensor data
提及内部物联网解决方案和轨迹分析的研发，证实了从移动机器人技术生成时间序列数据，这是训练预测模型的基础。
Knowledge base / docs
详细的设计文档和机器人单元模拟的存在提供了宝贵的上下文数据，有助于理解传感器读数背后的物理和操作参数。
Industrial data
工业应用的具体示例，包括测量自动化和力控制研究，证明了从操作压力下的自动化机器人单元收集的真实世界传感器数据。
Image collection
来自工业单元的视觉数据，包括用于焊接和材料分拣的单元，提供了一个有价值的多模态组成部分，可以与传感器数据相关联以提高故障检测精度。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Continuous
Delivery
API
Formats
Time Series, IoT, Developer-level
License
One-time license for training predictive maintenance models and internal analytics. Usage restrictions may apply to redistribution or resale.
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 industrial sensor time-series data from custom robotic systems, directly feeding the high-growth predictive maintenance market. The substantial volume and real-time freshness further enhance its appeal for AI model training.
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
Probot Industrial Sensor — a Large industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $13.65 billion in 2025, CAGR 24.30% (source: Fortune Business Insights). Investment score 45.0/100 (confidence 0.69). Recommended action: Acquire.
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