Dataset opportunity
Tevel Tech — 传感器遥测数据集机会
Tevel Tech 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
48
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)
全球农业人工智能市场 = 2024 年为 22 亿美元，复合年增长率为 25.1%。
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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- 📣Press / announcement
Tevel 的人工智能驱动机器人收集有关采摘的每件水果的数据
source ↗
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
Tevel Tech 提供由其专有的飞行自主机器人（FARs）在水果采摘作业期间生成的传感器遥测数据集。这个时间序列集合包含来自机器人运行传感器的精细iot_data和industrial_data，使其可以直接应用于预测性维护用例，从而能够预测组件故障并优化车队正常运行时间。
该数据位于全球农业人工智能市场内，该市场在 2024 年的估值为22 亿美元，预计将以25.1% 的复合年增长率增长。[1] 虽然由于数据源的专有性质以及需要澄清原始农业图像与衍生见解的所有权，访问需要进行谈判，但该数据集的稀有性和对训练复杂人工智能模型的高价值使其成为旨在引领快速扩张的农业科技领域的买家的关键资产。⚠ 尽职调查（有价值的数据，可协商访问）：数据通过专有飞行自主机器人（FAR）生成；原始农业图像与农民见解的所有权需要澄清；农业科技人工智能训练的高价值数据集（成熟度、疾病、产量）· 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 Tevel Tech 拥有来自其自主水果采摘飞行机器人的一份稀有专有传感器遥测数据集。这种时间序列数据受到工业人工智能供应商的追捧，用于开发预测性维护模型，这是优化机器人车队正常运行时间和性能的关键应用。在全球农业人工智能市场预计每年增长超过 25% 的情况下，该数据集提供了构建和验证复杂、真实世界机器人操作的复杂维护优化算法所需的地面实况数据。
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 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
买家需求异常高，这得益于农业人工智能市场的显著增长，该市场正以 25.1% 的复合年增长率扩张，从而产生了对独特专有训练数据的强烈需求。[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 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 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 Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 个数据需求信号（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 Audit67
⚠ 审查 — Tevel 的核心业务是销售人工智能驱动的机器人采摘服务和为农民提供实时数据分析的软件，使其成为智能的销售者，而不是休眠数据的持有者。问题：公司的核心产品是作为服务提供给种植者的 AI 软件和智能/分析。[11, 14, 16, 17, 18]；业务模式明确描述为“硬件 + 订阅”和“基于使用量的 SaaS”。[21]；数据（水果数量、重量、大小、成熟度、疾病检测）是提供给客户的软件产品的关键功能，而不是休眠的副产品。
- Deep Qualification60
✓ 通过 — Tevel 提供使用专有机器人进行的采摘作业服务，作为副产品生成高价值的遥测数据集。然而，公开文件中未明确数据所有权和转售权，需要直接谈判以澄清。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Image collection
该公司从果园生成计算机视觉数据，这对于实时水果识别、分类和产量估算的 AI 模型训练很有价值。
IoT / sensor data
这些证据指向一个丰富的IoT 数据集，该数据集以详细的果实位置和质量信息映射果园生产力，这是供应链优化和数字孪生应用的宝贵资产。
Industrial data
这是一个高稀有度的工业遥测数据集，捕获了飞行机器人在真实世界运行压力下的表现，为构建和验证预测性维护算法提供了必要的地面实况数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Tevel Tech 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 = $2.2 billion in 2024, CAGR 25.1% (source: BCC Research). Investment score 48.0/100 (confidence 0.49). Recommended action: Acquire.
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