Dataset opportunity
Engineeredarts — 工业传感器数据集机会
Engineeredarts 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
47.5
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）。[6]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-16
Genesis AI launches Eno general-purpose robot
therobotreport.com ↗ - 📰press2026-06-16
Avec l’appui d’Amazon, Neura Robotics lève 1,4 Md$ pour accélérer dans l’IA physique
supplychainmagazine.fr ↗ - 📰press2026-06-15
Robotics startup backed by Nvidia, Amazon and others raises $1.4B
manufacturingdive.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
混合所有权 — GDPR 敏感（PII 审查）
Buyer persona
工业人工智能与维护优化供应商
Engineeredarts 拥有其先进人形机器人产生的一套独特的工业传感器数据集。该数据集包含高保真时间序列数据，包括来自广泛专有传感器、执行器和电机控制器的数据流和物联网数据，以及大量的图像收集流。这种多模态数据提供了完整的运营图景，使其非常适合开发和验证复杂的预测性维护算法，以预测复杂机器人系统中组件的故障。
商业价值巨大，目标是全球预测性维护市场，该市场在 2025 年的市场规模估计为136.5 亿美元，预计将以 24.30% 的复合年增长率增长。[6] 虽然由于复杂性（包括GDPR 敏感的公开录音、与商业客户共享数据所有权以及专有操作系统守门人）而需要协商才能访问，但这些因素凸显了该数据集的稀有性和独特性。这种受控访问保护了独特丰富且具有上下文感知能力的数据资产，使其成为快速扩张市场中人工智能买家的优质资源。[6] ⚠ 尽职调查（有价值的数据，可协商访问）：数据包括公众的高分辨率面部和声音录音（GDPR 敏感）；交互数据所有权可能与商业客户（博物馆、机场）共享；专有 Tritium OS 作为原始传感器遥测数据的守门人 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
-
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
人工智能买家需求旺盛，这得益于预测性维护市场强劲的增长预期，复合年增长率为 24.30%。[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 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 License28
所有权=混合，许可=gdpr_sensitive
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 个数据需求信号（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，3 个近期外部信号 — 超出已货币化数据的专有数据
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 Audit58
⚠ 审查 — Engineered Arts 的核心业务是设计、制造和销售先进的人形机器人以及相关的 AI 软件套件，使其成为技术供应商，而不是休眠运营数据的持有者。问题：公司的核心产品是人形机器人（Ameca、Mesmer）以及运行它们的软件（Tritium AI）。[1, 5, 9]；他们的商业模式是将这些机器人和软件销售/租赁给企业、娱乐场所和研究机构。[7, 13, 16]；公司
- Deep Qualification80
✓ 通过 — 该公司是人形机器人的硬件和软件供应商，而不是数据销售商。其持有的运营数据是副产品，但其所有权复杂，包括敏感的公共交互数据，导致访问困难。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
- “Real-time sensor data from thousands of actuators and sensors across Ameca and Mesmer platforms.”
Image collection
- “High-fidelity motion capture and facial movement data used to create lifelike humanoid animations.”
Event streams
- “Logs of social interactions, speech patterns, and non-verbal cues captured during robot deployments in public spaces.”
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, Image
License
One-time license for predictive maintenance algorithm development and validation. Usage restrictions may apply.
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, proprietary nature from advanced humanoid robots, and direct application to the high-growth predictive maintenance market. The multi-modal time-series and image data offers a unique operational picture for algorithm development.
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
Engineeredarts 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 = $13.65B in 2025, CAGR 24.30% (source: Fortune Business Insights). [6]. Investment score 47.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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