Dataset opportunity
Burro — 传感器遥测数据集机会
Burro 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)
全球预测性维护市场在 2025 年的估值为 142 亿美元，预计在 2026-2033 年期间的复合年增长率为 27.9%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-09-01
Future Farming Five: why Burro built a robot that never collects dust in your shed
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
公司所有 — 可授权
Buyer persona
工业人工智能与维护优化供应商
Burro 持有一个专有的传感器遥测数据集，该数据集由其自主农业机器人车队生成。这些时间序列数据，包括来自真实现场操作的 `geo_data`、`image_collection` 和 `iot_data`，提供了丰富的连续操作日志流，非常适合训练预测性维护模型以预测组件故障。
该数据在全球预测性维护市场中具有极高的价值，该市场在 2025 年的估值为 142 亿美元，并预计在 2026 年至 2033 年期间以 27.9% 的复合年增长率增长。[1] 虽然访问涉及处理 OEM 保留的数据权利，但该遥测数据的稀缺性及其对高增长人工智能应用的直接适用性，使其成为旨在引领农业自动化领域的买家的关键资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据由农业领域的物理机器人车队生成；专有的视觉和遥测日志可能存储在云/边缘格式中；特定作物图像的所有权可能涉及种植者协议，但遥测数据通常由 OEM 保留 · 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 Burro 拥有一个专有的、高稀缺性的数据集，包含其自主农业机器人车队生成的连续传感器遥测数据。该数据是工业人工智能供应商构建预测性维护模型的关键资产，该市场预计将以 27.9% 的复合年增长率增长。来自在复杂非结构化环境中运行的机器人的激光雷达、惯性测量单元和 GPS 数据的结合，提供了训练算法所需的地面实况，这些算法可以预测真实条件下的组件故障。
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 Demand92
人工智能买家需求极高，这得益于市场强劲的增长预测（27.9% 的复合年增长率），因为公司竞相实施预测性维护解决方案以最大限度地减少昂贵的设备停机时间。[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 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. - ICP Audit75
⚠ 审查 — 该公司的核心产品是销售人工智能驱动的机器人和车队管理软件平台，这是一种销售智能的形式，因此不适合。问题：公司核心业务是销售人工智能软件和机器人技术，而不是其他运营的副产品；他们提供用于车队管理的 'BOSS' Web 平台，这是一个软件/智能产品。[4]；公司的使命是通过自主机器人解决劳动力问题，将其定位为人工智能/机器人解决方案提供商。[2, 6]；他们明确将人工智能、计算机视觉和数据捕获能力作为产品价值主张的一部分。[1, 7, 20, 21]
- Deep Qualification80
✓ 通过 — Burro 销售和租赁自主农业机器人，使其成为其运营副产品的宝贵遥测和图像数据的持有者。虽然数据可能归公司所有，但其公开法律文件中并未明确定义转售或第三方使用的确切条款，需要进一步尽职调查。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Image collection
该集合包含机器人导航数千英亩农作物时产生的高分辨率图像，为计算机视觉模型或传感器融合应用提供了丰富的视觉背景。
IoT / sensor data
这是来自激光雷达、GPS 和惯性测量单元传感器的连续时间序列数据流，是训练和验证复杂预测性维护算法的核心资产。
Geospatial data
该数据集包括结构化的地理空间数据，绘制了机器人穿越各种农业地形和天气条件的导航路径，使模型能够将性能与环境因素相关联。
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
Burro 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 $14.2 billion in 2025, projected to grow at a CAGR of 27.9% (2026-2033) (source: Grand View Research). [1]. Investment score 48.0/100 (confidence 0.49). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Rix Freight — 工业运营数据集机会
View opportunity →工业Volt R — 数据集机会：维护日志
View opportunity →工业Terra Modus — 工业运营数据集机会
View opportunity →