Dataset opportunity
Allwaste — 工业传感器数据集机会
Allwaste 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
70.4
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
合作（集团层面）
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 134 亿美元，复合年增长率为 23.2%。
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 — 许可干净
Buyer persona
工业人工智能与维护优化供应商
Allwaste 拥有其全美材料回收厂产生的宝贵工业传感器数据集。此高频时间序列数据包含来自光学分拣机和其他自动化机械的 `iot_data` 和 `industrial_data`，为开发和训练预测性维护算法以预测设备故障和优化运营正常运行时间提供了丰富的基础。
此数据的商业价值在全球预测性维护市场中得到凸显，该市场在 2025 年的估值为134 亿美元，预计将以23.2% 的复合年增长率增长。虽然访问需要与母公司 All Waste, Inc. 进行协调，但来自废物分拣行业如此详细的真实运营数据的稀缺性使其成为寻求在工业效率方面获得竞争优势的 AI 买家的引人注目的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据是物理废物分拣和基于传感器的材料回收的副产品；所有权归母公司 All Waste, Inc. 所有，需要集团层面的协调；数据集可能包括来自光学分拣机和自动化机械的高频传感器日志。· 公司：All Waste, Inc. 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Allwaste 的公开披露证实了其拥有来自其工业回收业务的专有高分辨率时间序列数据集。这些数据由最先进的分拣技术生成，捕获详细的机器性能和物料流，创建了大量的纵向记录。对于开发预测性维护解决方案的 AI 供应商来说，此数据集提供了训练模型所需的稀有真实世界数据，这些模型可以优化全球市场（预计到 2025 年将达到 134 亿美元）的设备正常运行时间和效率。
See dimension details ↓- Dataset Specificity78
主导的 'iot_data'，行业工业，2 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 Rarity70
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 Value74
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 买家需求异常强劲，这得益于预测性维护市场 23.2% 的快速复合年增长率，从而产生了对高质量真实世界工业传感器数据的巨大需求。
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 Feasibility15
中等难度，All Waste, Inc. 的子公司
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=公司所有，许可=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
All Waste, Inc. 的子公司
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 — 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 Audit100
✓ 良好目标 — 该公司拥有并运营一个最先进的材料回收厂，该厂使用人工智能和光学传感器，作为其核心回收业务的副产品，生成了非常有价值的专有废物流数据集，没有外部数据货币化的证据。[17, 18, 19] 问题：公司名称和 URL 令人困惑；目标实体是“All American MRF”，由 Murphy Road Recycling 拥有，并由 USA Waste & Recycli 运营
- Deep Qualification80
✓ 通过 — 目标是数据持有者。其先进的回收设施配备了人工智能和光学扫描仪，作为其核心废物分拣业务的副产品，可能生成指定工业传感器数据。数据所有权似乎是内部的，但由于缺乏公开法律文件，许可权未知。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该公司运营着配备先进技术的自动化分拣线，生成高分辨率的传感器数据，这些数据对于对机器行为和组件故障进行建模非常宝贵。
Industrial data
Allwaste 每天处理数百吨材料，创建了大量的纵向数据集，用于跟踪工业过程性能随时间的变化，这对于识别长期运营趋势至关重要。
business_records
该公司维护着详细的业务记录，跟踪物料流，提供了至关重要的地面真实标签，将机器活动与特定物料类型和结果相关联。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Allwaste 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 = $13.4 billion in 2025, CAGR 23.2% (source: Vertex AI Search). Investment score 70.4/100 (confidence 0.49). Recommended action: Partnership (group-level).
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