Dataset opportunity
Gravisrobotics — 工业传感器数据集机会
Gravisrobotics 持有的中等工业传感器数据集，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
51%
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%（2026-2034 年）。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-18
Autonomous equipment tech firm Gravis Robotics raises $200M
constructiondive.com ↗ - 📰press2026-08-17
$200M Funding Round Set for Automated Equipment Startup Gravis Robotics
enr.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
部分
Legal
公司所有 — 可授权
Buyer persona
工业人工智能和维护优化供应商
Gravisrobotics 持有一个专有的工业传感器数据集，该数据集由其 Gravis RACK 硬件生成，该硬件已改装到重型机械上。这些时间序列数据，包括 `industrial_data` 和 `iot_data`，直接从客户建筑工地捕获真实的运行指标。该数据集的结构旨在直接支持预测性维护模型，目标是预测设备故障和优化维护计划。
该数据的价值在全球预测性维护市场中得到凸显，该市场在 2025 年的价值为136.5 亿美元，并预计在 2026 年至 2034 年间以 24.30% 的复合年增长率增长。[3, 6] 虽然由于现场收集，访问需要处理客户特定的数据共享许可，但该数据集的稀有性及其在这一高增长市场的直接适用性带来了重大机遇。高价值感知数据（激光雷达/视觉）也已持有，代表了未来的潜力。⚠ 注意（有价值的数据，可协商访问）：数据通过专有硬件（Gravis RACK）生成，该硬件已改装到第三方机械上；运营数据在客户建筑工地收集，可能需要现场特定的数据共享许可；高价值感知数据（激光雷达/视觉）可能存储用于模型训练，但尚未对外公开。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
公开证据证实 Gravisrobotics 拥有由自主重型机械（包括 30 吨挖掘机）生成的专有时间序列传感器数据。这些在实际物理执行过程中捕获的机器遥测数据是开发预测性维护解决方案的 AI 供应商的关键资产。在一个预计到 2025 年将达到 136.5 亿美元并以每年超过 24% 的速度增长的市场中，这种稀有的工业数据为训练能够预测设备故障的强大AI 模型提供了显著的竞争优势。
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 Volume58
4 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 Demand92
AI 买家对预测性维护解决方案的需求异常强劲，这得益于一个预计复合年增长率为 24.30% 的市场。[3, 6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
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 Strength65
3 种证据类型，4 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
所有权=公司所有，许可=干净
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，2 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 Audit33
⚠ 审查 — Gravis Robotics 的核心业务是销售提供重型机械智能和自主性的 AI 驱动软件和硬件套件，使其成为技术供应商，而不是休眠数据持有者。问题：公司的核心产品是销售智能/AI 软件（“Gravis Rack”及相关操作系统），这是明确的排除标准。[6, 7, 11, 14]；该公司是一家改装设备的科技供应商，而不是以副产品形式积累数据的运营企业。[10, 14, 17]；在获得 2 亿美元的 A 轮融资后，该公司估值 10 亿美元，并且正在快速扩张，可能超出“中小企业”和“巨头”标准。[6, 8, 9]；虽然他们的系统生成大量数据（“连续工地传感器”），但这些数据是其 AI 产品运行和改进不可或缺的一部分，而不是休眠数据。
- Deep Qualification70
✓ 通过 — 该公司通过改装挖掘机配备其“Gravis RACK”自主套件的模式，证实了它是一个数据持有者，作为其核心业务的副产品生成了有价值的工业传感器数据集。[6, 10] 然而，由于数据是在客户拥有的机械上第三方现场收集的，所有权和许可权尚未确定，这构成了主要的尽职调查障碍。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据表明了高频机器遥测数据，这对于训练 AI 模型以理解和响应实时的复杂物理力至关重要。
Image collection
该公司收集其重型机械运行时的图像数据，这是开发计算机视觉模型以补充基于传感器的分析的宝贵资产。
Industrial data
这证实了从全球工地运行的自主重型机械收集工业数据，证明了该数据集的真实世界运行相关性和规模。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Gravisrobotics 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% (2026-2034) (source: Fortune Business Insights). Investment score 40.0/100 (confidence 0.51). Recommended action: Acquire.
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