Dataset opportunity
Figure — 工业传感器数据集机会
由 Figure 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
73.7
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
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在 2025 年的估值为 156.0 亿美元，预计在 2026-2034 年期间的复合年增长率为 21.01%。[2]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-29
BMW Group deploys Figure 03 humanoid after tests with previous version
therobotreport.com ↗
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 — 许可权待澄清
Buyer persona
工业人工智能与维护优化供应商
Figure AI 拥有一个重要的工业传感器数据集，主要包含其先进人形机器人运营产生的时间序列数据。该集合通过 `image_collection`、`industrial_data` 和 `iot_data` 证明，提供了关于机器人性能、组件应力和运营环境的高保真度、真实世界输入。这些详细的时间数据集非常适合训练复杂的预测性维护模型，从而能够在组件发生故障之前进行预测。
随着预测性维护市场的快速扩张，该数据的战略价值得到增强，该市场在 2025 年的估值为156.0 亿美元，预计将以21.01% 的复合年增长率增长。[2] 虽然由于其在训练 Figure 专有的 Helix AI 和与宝马、OpenAI 等合作伙伴的潜在排他性条款中的关键作用，访问权限很复杂，但这种机器人运动数据的稀有性和丰富性使其成为任何旨在引领工业自动化的 AI 买家的高价值资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据对其自身的 Helix AI 模型训练具有高度战略意义；与宝马和 OpenAI 的合作可能包含数据排他性条款；关于机器人运动和视觉数据集存在高度知识产权敏感性 · 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 Figure 持有由其人形机器人在领先的汽车制造环境中生成的工业传感器数据的专有数据集。这些稀有的真实世界数据对于开发下一代预测性维护和异常检测模型的工业 AI 供应商至关重要。在一个年增长率超过 21% 的市场中，这种来自先进机器人技术的时间序列和视觉数据的独特组合为训练算法以优化工厂运营和防止停机提供了关键资产。
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 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 Demand95
买家需求极高，这得益于预测性维护市场的快速增长，该市场正以 21.01% 的复合年增长率扩张，并需要高质量的真实世界传感器数据来训练有效的 AI 模型。[2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 License70
所有权=已拥有，许可=权利不明确
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，1 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 Audit75
✓ 良好目标 — Figure AI 是一个绝佳的目标，因为其核心业务是销售/部署运营中的人形机器人，这些机器人作为副产品产生了大量有价值的专有传感器数据，而这些数据目前并未出售。问题：该公司是一家资金雄厚、估值高昂（估值 390 亿美元）的企业，而非中小企业，这可能会影响互动方式。[1, 10]；由于与 Brookfield、Microsoft 等主要投资者存在深度合作关系，数据所有权和使用权可能很复杂。
- Deep Qualification80
⚠ 需要审查 — Figure AI 的核心业务是开发和部署人形机器人，这使得运营传感器数据成为训练其专有 Helix AI 的高度战略性副产品，而非直接销售。[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据证实存在来自核心机器人组件（如伺服电机和触觉传感器）的高频时间序列数据，这是构建预测性维护模型的基础。
Image collection
该数据集包括车载摄像头图像，提供了关键的视觉上下文，支持用于根本原因分析和环境感知的多模态 AI 应用。
Industrial data
这证实了该数据集包含部署在实时汽车工厂中的机器人产生的极具价值的运营数据，为针对工业自动化的模型提供了无与伦比的真实世界训练场。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series
License
One-time license for use in predictive maintenance and anomaly detection model development.
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 advanced humanoid robotics, essential for high-demand predictive maintenance applications. The rapidly growing market, with a CAGR of 21.01%, amplifies its strategic importance.
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Figure 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 was valued at $15.60 Billion in 2025, projected to grow at a CAGR of 21.01% (2026-2034). [2]. Investment score 73.7/100 (confidence 0.49). Recommended action: Acquire.
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