Dataset opportunity
Momentenergy — 传感器遥测数据集机会
Momentenergy 持有的中等规模传感器遥测数据集，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 136.5 亿美元，预计到 2034 年将以 24.30% 的复合年增长率增长（来源：Fortune Business Insights）。[1]
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.
Profile
Dataset profile
Type
传感器遥测数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权
Buyer persona
工业人工智能与维护优化供应商
Moment Energy 拥有一项重要的传感器遥测数据集，其中包含其翻新电动汽车电池储能系统的时间序列数据。这些`event_streams`（事件流）、`industrial_data`（工业数据）和`iot_data`（物联网数据）的集合提供了详细的历史循环指标和性能剖面，非常适合开发和训练用于预测性维护以预测设备故障的 AI 模型。
全球预测性维护市场在 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。[1] 虽然访问需要协商，因为数据与硬件销售捆绑在一起，并且包含 OEM 特定的性能细节，但该数据集的价值是巨大的。它包括关于电池退化和健康状态（SOH）的专有数据集，这些是 AI 买家在快速扩张的能源存储领域取得领先地位的稀有且关键的资产。[1] ⚠ 尽职调查（有价值的数据，可协商访问）：数据包括来自翻新电动汽车电池的历史循环指标，其中可能涉及 OEM 特定的性能剖面；实时监控数据与硬件销售捆绑在一起，但目前不作为独立数据集进行货币化；关于电池退化（SOH）的专有数据集是其测试和部署运营的重要副产品。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明 Moment Energy 拥有其UL 认证的工业电池系统超过二十年的专有、现场测试的时间序列数据。该数据集是工业 AI 供应商构建和验证先进预测性维护模型的稀有资产，该市场预计每年增长超过 24%。访问这些独特的电池性能和退化数据可以在优化高价值工业资产方面提供显著的竞争优势。
See dimension details ↓- ICP Audit92
✓ 良好目标 — Moment Energy 是一个强大的目标；他们的核心业务是通过翻新电动汽车电池来制造和销售储能硬件，这会产生有价值的传感器和遥测数据作为副产品，而不是他们的主要产品。问题：该公司开发了专有的基于 AI 的电池管理系统（BMS），并提供基于云的监控平台。确认他们是否是；他们正在快速增长，得到了亚马逊等主要参与者的巨额资金支持，并可能迅速超越中小型企业地位。[5, 18]
- Deep Qualification80
⚠ 需要审查 — 该目标是一家硬件供应商，拥有其已部署电池系统的有价值的、休眠的传感器数据；然而，数据所有权可能与客户混合，并且许可受到 OEM 协议的限制，这使货币化复杂化。[许可受限]
- Dataset Specificity74
占主导地位的“iot_data”，行业其他，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 条证据命中
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 买家对这些数据的需求极高，这得益于预测性维护市场的快速扩张，预计复合年增长率为 24.30%。[1]
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 Feasibility44
低难度，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 License92
所有权=已拥有，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 Orientation22
0 数据胃口信号（0 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.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该公司拥有超过二十年电池循环的广泛历史时间序列数据，为训练 AI 模型以理解长期资产退化和性能提供了宝贵的资源。
Event streams
来自 24/7 远程监控的连续事件流提供了关于功率输出和系统状态的实时运行数据，非常适合开发异常检测和性能优化算法。
Industrial data
该数据集来源于商业部署的UL 认证电池系统，确保数据反映了真实的工业运行条件并符合严格的可靠性标准。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Momentenergy Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market was valued at USD 13.65 billion in 2025 and is projected to grow at a CAGR of 24.30% through 2034 (source: Fortune Business Insights). [1]. Investment score 73.7/100 (confidence 0.49). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Electrifiedgarage — 维护日志数据集机会
View opportunity →其他Grasshoppersolar — 维护日志数据集机会
View opportunity →其他Okovate — 开发者数据平台机会
View opportunity →