Dataset opportunity
Tetakawi — 工业运营数据集机会
Tetakawi 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
47.5
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
数据共享协议
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)
全球生产监控市场 = 2025 年为 71.0 亿美元，年复合增长率为 9.72%（来源：Fortune Business Insights）。[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.
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
高（专有）
Accessibility
受限
Legal
聚合/第三方 — GDPR 敏感（PII 审查）
Buyer persona
工业人工智能集成商
Tetakawi 持有一个专有的工业运营数据集，结构为时间序列数据，包含工业、地理和交易信息。这些来自专门的墨西哥-美国制造走廊的丰富纵向数据，非常适合开发和训练工业监控人工智能模型，从而能够详细分析生产效率、跨境物流和运营模式。
生产监控的全球市场预计在 2025 年将达到71.0 亿美元，年复合增长率为强劲的9.72%，表明对此类数据需求旺盛。[15] 虽然访问需要处理超过 75,000 名员工的严格 PII 合规性以及与客户共享数据所有权，但该数据集的独特焦点使其成为目标客户的宝贵且稀有的资产，适用于针对这一特定、高增长的工业细分市场。 [15] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据包含墨西哥超过 75,000 名员工的 PII，需要严格的隐私合规性；特定运营数据的所有权可能在合同上与庇护客户共享；高度专业化的数据集，专注于墨西哥-美国制造走廊 · 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 Tetakawi 拥有专有的多模态数据集，详细说明了墨西哥数百家制造商的工业运营情况。这些核心时间序列数据涵盖了供应链和合规活动，并通过纵向劳动力成本数据和设施足迹信息得到了独特的丰富。对于工业人工智能集成商而言，该数据集是开发复杂的工业监控和预测性维护模型的稀有资产，目标是到 2025 年达到 71 亿美元的全球生产监控市场。
See dimension details ↓- Dataset Specificity90
主导的“industrial_data”，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 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 Freshness46
定期
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 Demand88
人工智能买家需求强劲，这得益于生产监控市场显著的增长，预计年复合增长率为 9.72%。[15]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
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 License10
所有权=聚合，许可=gdpr_敏感
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 Orientation22
0 个数据胃口信号（0 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，3 个近期外部信号 — 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 Audit58
⚠ 审查 — Tetakawi 的核心业务是为墨西哥的制造业提供庇护服务，而不是销售数据；然而，它规模太大，不属于中小企业，并且已经提供基于其运营数据的咨询和分析服务，因此不适合。问题：该公司规模太大，无法被视为中小企业，约有 24,000-25,000 名员工支持其客户运营。[5, 11, 18]；虽然其核心业务不是销售数据，但它积极销售源自其运营数据的咨询和分析服务（例如，海关分析、劳动力；该公司向客户提供对其自有技术平台的访问权限，例如具有 EDI 功能的进出口系统和具有采购门户的系统。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
该公司拥有独特的纵向表格数据集，详细说明了超过 75,000 名员工的劳动力成本和流动率，为优化总生产成本的人工智能模型提供了关键输入。
Industrial data
这些核心时间序列数据集捕获了数百家制造商的供应链物流和合规性等运营事件，直接支持了预测性工业监控和运营效率模型的开发。
Geospatial data
Tetakawi 持有关于其管理的工业房地产的表格数据，将运营数据与墨西哥各地的特定制造中心和设施足迹联系起来，以进行更精细、更具位置感知能力的分析。
press
- “<figure><div><img src="https://imgproxy.divecdn.com/sxyEB0Qrc32AwU9V3XQQS3lB-wKjhbCljqJHl0fweZs/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0yMjgyMDY0ODg0LmpwZw==.webp" /></div></figure><p>The U.S., Mexico and Canada will continue negotiating about potential adjustments to the trilateral free trade agreement, which will remain in place until at least 2036.</p>”
Marketplace
Dataset details
Geographic coverage
Mexico-US Manufacturing Corridor
Time range
Longitudinal (specific years not stated)
Update frequency
Periodic
Delivery
API or Secure File Transfer
Formats
Time Series
License
One-time license for AI model development and internal operational monitoring, subject to strict PII and data usage restrictions.
Personal data
Contains PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This proprietary, high-rarity time-series dataset from the Mexico-US manufacturing corridor is highly valuable for industrial monitoring AI, evidenced by strong market growth. The significant PII compliance requirements and moderate volume temper the price.
Detailed schema & sample available on access request.
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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
Tetakawi Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Production Monitoring market = $7.10 billion in 2025, CAGR 9.72% (source: Fortune Business Insights). [15]. Investment score 47.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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