Dataset opportunity
Tercienco — 工业运营数据集机会
Tercienco 持有的中等规模工业运营数据集，可用于工业监控和预测。
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
授权
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)
全球时间序列分析市场 = 2025 年为 48 亿美元，复合年增长率为 12.8%（来源：Dataintelo）。 [15]
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.
- 📝Published article
矿产商品研究和见解出版物
source ↗
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
定期
Rarity
中等
Accessibility
开放/API
Legal
公司所有 — 可授权
Buyer persona
工业人工智能集成商
Tercienco 拥有一套专有的工业运营数据集，其中包含高保真时间序列数据。该集合包括其核心地质咨询服务提供的精细化 `industrial_data` 和 `geo_data`，为工业监控用例（如预测性维护和异常检测）的 AI 模型训练和验证提供了丰富、真实的来源。
其商业价值巨大，因为全球时间序列分析市场在 2025 年的估值为48 亿美元，预计将以12.8% 的复合年增长率增长。[15] 虽然由于客户保密协议和 Tercienco 的服务型业务模式，访问此有价值的数据需要协商，但其已证实的稀有性和直接适用性使其成为寻求在工业应用中获得竞争优势的 AI 买家的引人注目的资产。[15] ⚠ 尽职调查（有价值的数据，可协商访问）：主要业务是地质咨询（基于时间的咨询服务）；已对特定数据集进行货币化（例如，硬岩锂数据库）；项目特定数据可能受客户保密协议约束 · 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 Tercienco 拥有一套专有的、跨越数十年的数据集，结合了地质勘测和矿产商品时间序列市场分析。这种物理和金融数据的独特融合非常适合工业 AI 集成商构建用于资源管理和供应链预测的复杂监控和预测模型。在全球时间序列分析市场预计到 2025 年将达到 48 亿美元之际，该数据集提供了训练工业和金属领域高价值 AI 解决方案所需的深度、历史性真实数据。
See dimension details ↓- Dataset Specificity78
主导的 'industrial_data'，工业领域，2 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 Rarity46
专有领域数据（开放降低稀有度）
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 Freshness62
API/开放（当前）
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
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 Demand90
AI 买家需求旺盛，这得益于全球时间序列分析市场强劲的 12.8% 复合年增长率，因为企业越来越需要真实数据来进行预测和异常检测。[15]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility78
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility66
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=已拥有，授权=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，5 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 — 该公司是一家地质咨询公司，其核心业务是销售专家分析、报告和从地质数据中获得的见解，因此不适合，因为其数据不是休眠的副产品。问题：核心业务是销售情报/咨询，这是一个明确的排除标准；公司明确提供“矿产商品研究和见解”，并提供“数据库产品”作为其服务的一部分。[4]
- Deep Qualification80
✓ 通过 — Tercienco 是一家地质咨询公司，其主要业务是提供技术服务，而不是销售数据；虽然他们可能生成有价值的时间序列数据，但这些数据通常归其收集的客户所有或受到合同限制，这对第三方许可构成了重大障碍。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “Central banks made their 2nd-largest monthly gold purchase; China's top ETF is now gold-focused, and Citi joins bullion clearing.”
- “Western Canada miners brace for wildfire threats as drought, El Niño heat and rising insurance scrutiny reshape operations, planning and climate resilience.”
- “West Red Lake Gold Mines reports high-grade Madsen drill results in Ontario, supporting potential 2027 mine plan additions at Austin complexes.”
Data catalog / marketplace
这指向一个结构化且可追溯的数据库，包含约 780 个全球硬岩锂矿点，这是专注于战略资源测绘和供应链分析的 AI 模型的关键资产。
Industrial data
该数据集包含时间序列分析，将地质发现与广泛的矿产商品市场数据联系起来，从而实现工业监控和价格预测模型。
Geospatial data
这表明拥有超过 15 年的专有数据，来自矿产勘探项目，包括地球化学调查和 3D 建模，为训练强大的 AI 系统提供了宝贵的历史深度。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Tercienco Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Time Series Analytics market = $4.8 billion in 2025, CAGR 12.8% (source: Dataintelo). [15]. Investment score 48.0/100 (confidence 0.49). Recommended action: License.
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