Dataset opportunity
Filatidrago — 工业运营数据集机会
Filatidrago 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
74.1
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)
全球制造业人工智能市场 = 2024 年为 53.2 亿美元，复合年增长率为 46.5%（来源：Grand View Research）
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
关注可追溯性和可持续性认证（RWS、无穆林认证）
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
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权
Buyer persona
工业人工智能集成商
Filatidrago 拥有一个详细的工业运营数据集，主要由其纺织品制造过程中的时间序列数据组成。该集合包括来自机械的精细化 `industrial_data`、用于质量控制的 `image_collection` 以及用于供应链可追溯性的 `geo_data`，使其成为训练用于工业监控用例（如预测性维护和流程优化）的复杂人工智能模型的全面来源。
该数据极具价值，属于制造业人工智能市场，该市场在 2024 年的估值为53.2 亿美元，预计将以46.5% 的复合年增长率增长。[9] 虽然必须围绕孤立的遗留系统、敏感的专有配方和第三方供应商数据等复杂性进行访问谈判，但巨大的增长率预示着强烈的人工智能买家需求，这使得这个有价值的数据集成为开发高影响力工业人工智能解决方案的引人注目的资产。⚠ 尽职调查（有价值的数据，可协商访问）：传统工业部门可能存在孤立的遗留数据；专有的织造和整理配方高度敏感；可追溯性数据涉及羊毛价值链中的第三方供应商 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Filatidrago 持有一个专有的、多模态的数据集，涵盖了从原材料采购到成品的全纺织品制造生命周期。这一独特的资产以生产机械的精细时间序列数据为中心，是工业人工智能集成商构建先进监控和预测性维护解决方案的理想选择。在年增长率超过 46% 的制造业人工智能市场中，该数据集为创建强大的数字孪生、增强质量控制和验证供应链可追溯性提供了基础真相。
See dimension details ↓- Dataset Specificity90
主导的 'industrial_data'，工业部门，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 Demand95
人工智能买家需求极高，这得益于制造业人工智能市场的爆炸式增长，该市场正以 46.5% 的复合年增长率扩张。[9]
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=已拥有，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，2 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. - Deep Qualification80
✓ 通过 — Filatidrago 是一家传统的、全集成式羊毛厂，生产高品质男士面料；它不销售数据或分析，但其在技术和供应链可追溯性方面的运营重点使得存在一个有价值的、休眠的工业运营数据集是合理的。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<figure><div><img src="https://imgproxy.divecdn.com/zTRuVjQsGKiXrIg9lKyKSSDqp12qvpKaHv4k37QGkos/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0xMjMzODE1OTEwLmpwZw==.webp" /></div></figure><p>Despite inflation, reduced costs for the apparel staple spur negative consequences for workers’ wages and safety, per nonprofits Clean Clothes Campaign and Public Eye.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/RFbvpZDggH0c5rOhA1kL-VrBoqXEibszsadg25yiqhE/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9Hb29kd2lsbF9QYXJ0aWNpcGFudF9NYWtpbmdfVW5pZm9ybXMtcmVzaXplZC5qcGc=.webp" /></div></figure><p>The Valia manufacturing platform aims to accelerate the nonprofit’s production by drastically reducing the time required for its fabric-cutting operations by 99%.</p>”
Industrial data
这个专有的时间序列数据集捕获了纺织品生产机械的精细技术参数，为训练预测性维护和流程优化算法提供了基本的基础真相。
Image collection
持有者拥有大量的织物纹理和图案图像库，非常适合训练自动化视觉检测系统或用于产品设计的生成式人工智能模型。
Geospatial data
这个表格数据集提供了详细的羊毛采购记录，包括认证，使得能够开发用于供应链可追溯性和ESG报告的模型。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Periodic (exact range not specified)
Update frequency
Periodic
Delivery
API/File Export (inferred)
Formats
Time Series, Image, Geospatial
License
One-time license for AI model training and industrial monitoring use cases. Usage restrictions may apply.
Personal data
No 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 dataset's value is driven by its proprietary, multi-modal nature covering the full textile manufacturing lifecycle, ideal for high-demand AI in Manufacturing use cases. The rapidly growing market and proprietary, hard-to-source nature of the data justify a premium valuation.
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
Filatidrago Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Artificial Intelligence in Manufacturing market = $5.32 billion in 2024, CAGR 46.5% (source: Grand View Research). Investment score 74.1/100 (confidence 0.49). Recommended action: Acquire.
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