Dataset opportunity
Lasma — 工业运营数据集机会
Lasma 持有的海量工业运营数据集，可用于工业监控和预测。
Score
78
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
62%
Action
获取
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)
全球工业 AI 市场 = 2025 年为 350 亿美元，复合年增长率为 25%。
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
工业运营数据集
Modality
时间序列
Sector
工业
Volume
大型
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权许可
Buyer persona
工业 AI 集成商
Lasma 拥有一个高价值的工业运营数据集，结构为时间序列数据，包含事件流、工业数据和大量的维护日志。这种真实运营和故障数据的丰富组合为开发和训练强大的工业监控用例的 AI 模型提供了必要的基础事实，特别是在预测性维护和异常检测方面。
利用此类数据的全球工业 AI 市场在2025 年估值为 350 亿美元，预计将以 25% 的复合年增长率高速增长。虽然实时传感器流的主要所有权归工业客户所有，但 Lasma 的专有价值在于其聚合的技术支持日志、维护历史和独特的 B2B 销售数据，这些数据提供了对波罗的海工业自动化市场的洞察。这使得协商访问 Lasma 精选的历史数据集成为 AI 买家难得且宝贵的机会。⚠ 尽职调查（有价值的数据，可协商访问）：实时传感器流的主要数据所有权归工业客户所有；专有价值在于技术支持日志、维护历史和跨品牌集成基准；B2B 销售数据提供了对波罗的海工业自动化市场的独特见解。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Lasma 持有一个专有数据集，详细说明了核心工业自动化设备的实际性能和故障模式。该数据将来自PLC、传感器和VFD 的原始信号与操作员操作和记录的维护事件联系起来。对于 AI 集成商来说，这是一个难得的高保真资源，用于训练和验证预测性维护算法。访问这些数据代表着为快速增长的工业 AI 市场开发强大解决方案的重大捷径，该市场预计到 2025 年将达到 350 亿美元。
See dimension details ↓- 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. - Dataset Specificity90
占主导地位的“工业数据”，行业为工业，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 Volume76
7 条证据命中
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
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
AI 买家需求异常高，这得益于一个预计复合年增长率为 25% 的市场，因为公司正在积极采用数据驱动的解决方案来实现工业监控和优化。
How strongly AI builders and companies are likely to want this data, based on market signals. - 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 Strength83
4 种证据类型，7 条命中
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 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 Surplus70
盈余=中等 — 超出已货币化范围的专有数据
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 Audit92
✓ 好目标 — 绝佳目标：Lasma 是一家运营中的工业维护公司，其设备性能和预测性维护数据是其核心服务的副产品，而非其主要产品。
- Deep Qualification90
✓ 通过 — 该目标是工业自动化组件的经销商，同时提供广泛的技术服务，包括安装、支持和维修。这种组合模式使得假设的“工业运营数据集”（销售、支持日志、维修历史）作为其核心活动的副产品具有高度可行性，完美契合细分市场。数据所有权是混合的，未发现明确的数据转售许可条款。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这证实了来自可编程逻辑控制器（PLC）、传感器和变频器（VFD）的原始时间序列数据的存在，这些是任何预测性维护模型的关键输入。
Event streams
这些证据表明存在一个人机界面（HMI）事件流，包括操作员警报和交互，这对于构建理解工业运营完整背景的模型至关重要。
Maintenance logs
这指向了真实设备维修和服务干预的日志，提供了训练和验证故障预测算法所需的关键基础事实标签。
business_records
这显示了设备销售和安装的全面记录，提供了关于运营数据中存在的特定配置和制造商（例如，西门子、施耐德）的宝贵资产级别上下文。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Lasma Industrial Operations — a Large industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial AI market = $35 billion in 2025, CAGR 25% (source: Acumen Research and Consulting). Investment score 78.0/100 (confidence 0.62). Recommended action: Acquire.
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