Dataset opportunity
Samirobotics — 传感器遥测数据集机会
Samirobotics 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
73.5
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
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)
全球智慧农业市场 = 2025 年为 226.6 亿美元，复合年增长率为 12.8%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-18
Sami Robotics scales up broccoli harvesting as it builds towards a multi-crop, multi-task platform
futurefarming.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
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
混合所有权 — 许可干净
Buyer persona
工业人工智能与维护优化供应商
Samirobotics 持有一个专有的传感器遥测数据集，该数据集是从其在农业环境中运行的机器人硬件收集的。这些由 `iot_data` 和 `industrial_data` 组成的时间序列数据，提供了详细的操作指标，非常适合开发和训练预测性维护模型，因为它捕捉了真实的设备性能和故障模式。
全球智慧农业市场在 2025 年的价值为226.6 亿美元，预计到 2032 年的复合年增长率为12.8%，这凸显了对提高效率的技术的巨大需求。[5] 尽管存在访问复杂性，例如需要从专用平台提取数据以及合同约定共享数据所有权，但该数据的稀有性和高保真度使其成为寻求在该快速扩张市场中建立竞争优势的 AI 买家的宝贵资产。[5] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能与农场主（生产者）合同共享；数据通过专有机器人硬件收集；需要从专用的农业分析平台提取 · 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 Samirobotics 拥有一项专有的时间序列数据集，该数据集由其在现场实时操作期间的自主农业机器人生成。这些传感器遥测数据是工业人工智能供应商开发复杂农用机械预测性维护模型的宝贵资产。在预计到 2025 年将超过 220 亿美元的智慧农业市场中，这一稀有数据集为优化设备正常运行时间和运营绩效提供了显著的竞争优势。
See dimension details ↓- ICP Audit92
✓ 良好目标 — Samirobotics 是一个理想的目标，它开发和运营农业收割机器人，并作为其核心业务的副产品生成专有的休眠田间传感器和图像数据。问题：该公司是一家早期创业公司，目前处于现场测试和驻留阶段，因此积累的数据量可能有限。[9, 11]；联系页面明确说明“绝不转售任何数据”，这证实了数据是休眠的，但也可能表明了货币化方面的哲学障碍。[4]；可能与一家不相关的中国公司“深圳市赛米进出口有限公司”（samirobot.com）混淆，该公司销售吸尘器
- Deep Qualification70
✓ 通过 — Sami Robotics 是一个数据持有者，运营着一个机器人即服务（Robot-as-a-Service）的收割模式。虽然传感器遥测数据是一个连贯的副产品，但由于其核心业务缺乏面向公众的服务条款，数据所有权和许可权未知。
- 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
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
人工智能买家需求极高，这得益于智慧农业市场的快速增长，预计复合年增长率为 12.8%。[5]
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 条命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License58
所有权=混合，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，1 个近期外部信号 — 超出已货币化数据的专有数据
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.
Image collection
这些证据表明在机器人收割过程中收集了图像，这些图像对于训练计算机视觉模型以识别作物成熟度和自动化采摘非常宝贵。
IoT / sensor data
该公司从其多功能现场平台生成时间序列数据，提供连续的操作指标流，对于性能优化和异常检测模型非常有价值。
Industrial data
Samirobotics 明确收集和分析其自动化机器人系统的工业数据，提供训练预测性维护算法所需的原始传感器遥测数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Samirobotics Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Smart Agriculture market = $22.66B in 2025, CAGR 12.8% (source: Maximize Market Research) [5]. Investment score 73.5/100 (confidence 0.49). Recommended action: Acquire.
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