Dataset opportunity
Neura Robotics — 工业传感器数据集机会
Neura Robotics 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
40
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 136.5 亿美元，预计到 2034 年的复合年增长率为 24.30%（来源：Fortune Business Insights）。[5]
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.
- 🤝Data partnership
与 NVIDIA 在 GR00T 项目上合作开发人形机器人基础模型
source ↗
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 — 许可权待明确
Buyer persona
工业人工智能与维护优化供应商
Neura Robotics 拥有宝贵的工业传感器数据集，该数据集源自其认知机器人，包含丰富的时间序列数据、`image_collection`、`industrial_data` 和 `iot_data`。此多模态数据集提供了机器人操作的全面日志，非常适合开发和训练复杂的预测性维护模型，以预测设备故障并优化维护计划。
该数据的商业价值巨大，运营于全球预测性维护市场，该市场在 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。[5] 尽管存在数据访问复杂性，例如数据在 Neura OS 内的专有性质以及知识产权保护，但该数据集的稀有性和操作深度使其成为寻求在该快速扩张市场中获得竞争优势的 AI 买家高度追捧的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：集成到 Neura OS 中的专有传感器数据；认知交互日志的高科技知识产权保护；数据可能与 NVIDIA 等战略合作伙伴共享以进行模型训练 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据共同证明 Neura Robotics 拥有其先进机器人系统产生的专有工业传感器数据流。这包括来自力矩传感器和自动驾驶汽车的丰富时间序列信号，直接服务于预测性维护的主要 AI 用例。对于工业 AI 供应商而言，这一稀有数据集是构建和验证复杂模型以捕获快速增长的维护优化市场中重要份额的关键资产，该市场预计将以24.30% 的复合年增长率增长。这些数据为下一代工业自动化的真实运行状态提供了独特的视角。
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 Demand90
AI 买家需求极高，这得益于对专有运营数据的需求，以利用预测性维护市场预计的 24.30% 的复合年增长率。[5]
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 License36
所有权=混合，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 Orientation39
1 个数据胃口信号（1 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 Audit33
⚠ 审查 — Neura Robotics 的核心业务是销售“物理人工智能”和“认知机器人”，这些是智能的产品，因此不适合，因为它已在市场上销售。问题：公司的核心产品是“认知”机器人和名为 Neuraverse 的“物理人工智能平台”，它们是作为产品销售的智能形式。[1, 6, 10,; 该公司不是中小企业；它拥有超过 1,100 名员工，并已筹集高达 14 亿美元的资金，是一家大型、资金充足的企业。[1, 2, 7]
- Deep Qualification90
⚠ 需要审查 — 目标公司销售的是“物理人工智能”平台，而不仅仅是机器人；通过其“Neuraverse”共享的数据和智能是其业务模式的核心。数据所有权可能在 Neura 及其客户之间混合，并且由于人机交互，数据高度敏感。“工业传感器数据 [将数据/智能作为核心产品销售；业务模式 = 数据销售商]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该证据表明，来自集成力矩和 3D 视觉传感器的高保真时间序列数据流，对于训练先进机器人组件的细致预测性维护算法至关重要。
Image collection
这表明人形机器人捕获的环境和任务特定图像数据的集合，为工业工作流程中的视觉异常检测提供了丰富的上下文信息。
Industrial data
这证实了来自自动驾驶汽车的复杂时间序列数据的生成，包括用于建模组件磨损和优化车队维护计划的空间和导航信号。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, Image, Industrial Data, IoT Data
License
One-time license for use in developing and training predictive maintenance models. Specific usage restrictions 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 proprietary, high-rarity industrial sensor dataset from Neura Robotics offers unique multimodal time-series data for predictive maintenance. Its value is amplified by the strong growth and demand within the global predictive maintenance market.
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
Neura Robotics 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 USD 14.2 billion in 2025 and is projected to grow at a CAGR of 27.9% (2026-2033) (source: Grand View Research). [1]. Investment score 47.5/100 (confidence 0.49). Recommended action: Acquire.
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