Dataset opportunity
Eternal — 传感器遥测数据集机会
Eternal 持有的中等传感器遥测数据集，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
56%
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)
全球农业人工智能市场 = 2025 年为 26 亿美元，复合年增长率为 19.49%。
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
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 — 许可干净
Buyer persona
工业人工智能与维护优化供应商
Eternal 持有其在第三方温室中运行的机器人的专有传感器遥测数据集。此时间序列集合包括原始农业影像、iot_data 和工业生长周期数据，使其非常适合开发和训练预测性维护模型以预测设备故障。
农业人工智能市场在 2025 年的估值为26 亿美元，预计到 2034 年将以惊人的19.49% 的复合年增长率增长。[6] 虽然访问需要处理与种植者之间潜在的数据共享条款，但该数据集的稀有性和丰富性提供了显著价值。原始数据是训练强大的人工智能模型的关键资产，使得协商访问成为目标高增长领域的买家的明智投资。⚠ 尽职调查（有价值的数据，可协商访问）：数据由在第三方温室中运行的专有机器人生成；需要验证与种植者之间潜在的数据共享条款；主要价值在于用于模型训练的原始农业影像和生长周期数据集 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Eternal 运营着一支自主机器人车队，从受控温室环境中生成独特、专有的数据集。该数据结合了计算机视觉影像、IoT 传感器读数和工业性能指标，创建了机器人操作的丰富、多模态视图。对于工业人工智能供应商而言，此数据集是构建和验证预测性维护和性能优化模型的稀有资产。在快速扩张的农业人工智能市场中，该市场预计到 2025 年将达到 26 亿美元，这种高稀有性训练数据为优化农业机器人提供了独特的竞争优势。
See dimension details ↓- Dataset Specificity74
主导的 '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 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 Demand90
人工智能买家需求异常高，这得益于农业人工智能市场的快速扩张，预计复合年增长率为 19.49%。[6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility62
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility4
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 Strength74
4 种证据类型，4 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 Orientation56
2 个数据胃口信号（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，3 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 Audit58
⚠ 审查 — 这是一个糟糕的目标；其核心业务是销售人工智能驱动的机器人硬件和机器人即服务（RaaS）平台，这是一种销售智能的形式。问题：核心业务是销售人工智能软件和机器人，而不是副产品。[4, 9, 12]；该公司的商业模式是机器人即服务（RaaS），客户为机器人的性能付费，这是一种销售智能/自动化的形式；收集的数据（传感器、视觉）用于改进其自身的核心人工智能产品，而不是独立运营业务的休眠副产品。[5, 6, 7]
- Deep Qualification85
✓ 通过 — 该目标作为其核心机器人业务的副产品拥有连贯且有价值的数据集，但数据所有权混合且权利不明确，对收购构成了重大障碍。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p><img alt="PTachio adere à Portugal Nuts e reforça representação dos frutos secos" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" height="836" src="https://www.vidarural.pt/wp-content/uploads/sites/5/2026/08/iStock-2284051018.jpg" width="1254" /></p><p>A PTachio - Sociedade Agrícola, Lda. aderiu oficialmente à Portugal Nuts, passando a integrar a associação que representa o setor dos <a href="https://www.vidarural.pt/destaques/exportacoes-frutos-secos/">frutos secos</a> em Portugal.</p>”
- “Hog futures recover after hitting two-week low - CME <p>Cattle futures firm as labour deal at Cargill plant lifts outlook</p>”
- “<p>As sprayers get larger and labour becomes harder to find, improving the efficiency of the spray tender has become just as important as improving the sprayer itself. Laython Ford, territory manager for Western Canada with SurePoint Ag Systems, shows how the company’s Arsenal spray trailer completes the complete spray tender system built around the company’s... <a href="https://www.realagriculture.com/2026/08/automating-the-spray-tender-for-faster-fills-and-fewer-touchpoints/">Read More</a></p>”
API access
面向公众的职业列表证实了 Eternal 的全球运营以及对复杂技术基础设施的投资，这标志着该公司管理复杂、大规模数据系统的成熟度和能力。
Image collection
该公司捕获实时计算机视觉数据，以分析作物特征，提供训练专注于收割一致性和产量优化的人工智能模型所需的详细植物级数据。
IoT / sensor data
证据表明，在机器人学习和导航温室布局时，会收集来自移动、带摄像头的机器人的IoT 传感器数据，这是训练自主导航和优化机器人工作流程的关键输入。
Industrial data
持有者拥有其机器人产生的时间序列性能数据，将高吞吐量运营指标直接与特定的温室条件联系起来，这是开发预测性维护算法所需的基本真实数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Eternal Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global AI in Agriculture market = $2.6B in 2025, CAGR 19.49% (source: IMARC Group). Investment score 47.5/100 (confidence 0.56). Recommended action: Acquire.
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