Dataset opportunity
Blue Lice — 传感器遥测数据集机会
Blue Lice 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
74
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)
全球精准水产养殖市场在 2023 年的估值为 14 亿美元，预计复合年增长率为 15%（2024-2032 年）。
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.
- 🤝Data partnership
与 Bremnes Seashore 合作进行测试和数据验证
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 — 许可干净
Buyer persona
工业人工智能与维护优化供应商
Blue Lice 持有一个专有的传感器遥测数据集，该数据集由部署在第三方鱼类养殖场中的物理陷阱生成。这些时间序列数据，包括iot_data和环境指标，跟踪着对监测鱼类健康和海虱存在至关重要的生物指标，因此非常适合开发预测性维护模型来预测疫情爆发和优化治疗。
该数据在全球精准水产养殖市场内运作，该市场在 2023 年的估值为14 亿美元，并预计在 2024 年至 2032 年之间以 15% 的复合年增长率增长。尽管存在数据收集的复杂性，例如通过专有硬件进行数据收集和潜在的共享所有权条款，但该生物数据的稀缺性及其在高级预测分析中的直接适用性，使其成为寻求进入这个快速增长领域的 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）：数据通过部署在第三方鱼类养殖场中的专有物理硬件（陷阱）收集；可能与水产养殖客户就特定场地指标存在共享所有权条款；数据主要是生物和环境数据，不构成 GDPR 风险。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了持有者拥有独特、专有的数据集，该数据集结合了来自活体水产养殖环境的环境、运营和视觉数据。这种多模态时间序列收集深受工业人工智能供应商的追捧，用于构建和验证精准水产养殖领域的预测性维护模型。在一个预计以 15% 的复合年增长率增长的市场中，这些数据直接支持海虱预防的优化，这是全球鲑鱼养殖运营的关键成本和效率驱动因素。
See dimension details ↓- 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 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 Demand85
人工智能买家需求旺盛，这得益于精准水产养殖市场的显著增长（15% 的复合年增长率）以及对专业时间序列数据以支持预测健康和农场优化模型的需要。
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 Feasibility44
低难度，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 Audit100
✓ 良好目标 — Blue Lice 是一个极好的目标，因为它是一家运营型中小企业，销售用于水产养殖场的物理硬件，并产生专有的传感器和图像数据作为副产品，它正开始探索用于预测分析，但尚未作为核心产品销售。问题：该公司正开始测试摄像头并使用机器学习来预测海虱水平，这表明他们正朝着销售智能的方向发展。虽然
- Deep Qualification70
✓ 通过 — Blue Lice 销售一种使用专有陷阱的预防性海虱拦截服务，使其成为有价值运营数据的持有者。然而，数据所有权和许可权仍未经验证。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Image collection
持有者拥有用于监测海虱的实时图像集合，为训练和验证用于自动化害虫检测的计算机视觉模型提供了重要的地面实况数据。
IoT / sensor data
这是一系列连续的传感器遥测数据，用于跟踪水质等环境因素，这对于构建预测海虱爆发并触发预防措施的模型的人工智能供应商至关重要。
Industrial data
该数据集包括关于海虱预防措施成功率的历史运营数据，允许买家训练优化捕获效率并证明明确投资回报率的模型。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Blue Lice Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Precision Aquaculture Market was valued at $1.4 billion in 2023, with a projected CAGR of 15% (2024-2032) (source: Global Market Insights, Inc.).. Investment score 74.0/100 (confidence 0.49). Recommended action: Acquire.
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