Dataset opportunity
Surplex — 检验报告数据集机会
Surplex 持有的中等检验报告数据集，可用于文档智能和缺陷检测。
Score
69.5
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
合作（集团层面）
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
全球智能文档处理市场在 2024 年的估值为 23.0 亿美元，预计到 2030 年将以 33.1% 的复合年增长率增长至 123.5 亿美元（来源：Grand View Research）。[3]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-11
La France est la championne des frais d’entretien du matériel
lafranceagricole.fr ↗ - 📰press2026-06-11
Clark muscle son catalogue de transpalettes électriques
supplychainmagazine.fr ↗
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
检验报告数据集
Modality
文档
Sector
工业
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 可授权 · 个人身份信息/受监管
Buyer persona
文档人工智能/IDP供应商
Surplex 拥有一个专门的文档模态数据集，其中包含工业机械检查记录和大量的交易数据。这些非结构化的技术检查日志和历史拍卖清算价格的集合是训练文档智能模型的宝贵资产，可用于自动化从复杂、特定领域的报告中提取关键数据点，例如设备状况、规格和估值指标。
全球智能文档处理市场是此类数据的直接受益者，该市场在 2024 年的估值为 23.0 亿美元，预计到 2030 年的复合年增长率将达到 33.1%。[3] 如此显著的市场规模表明对人工智能驱动的自动化需求旺盛。尽管由于被 TBAuctions 集团收购以及使用专有估值方法可能存在潜在的访问复杂性，但该数据集的价值通过其稀有性和包含的数十年历史拍卖清算价格得到了强调，使其成为开发高精度估值和风险评估模型的关键资源。⚠ 尽职调查（有价值的数据，可协商的访问权限）：最近被 TBAuctions 集团收购，该集团可能会集中数据治理；数据包括高度专业化的技术检查日志和历史拍卖清算价格；基于数十年交易历史的专有估值方法 · 公司：收购了 TBAuctions。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Surplex 拥有独特的、专有的工业机械文档集合，包括详细的检查报告。该数据集对于寻求训练能够提取和理解复杂、非结构化技术信息的文档人工智能和IDP 供应商来说，是一项高价值资产。在预计到 2030 年将超过 120 亿美元的智能文档处理市场中，这种稀有的、特定领域的数据为开发工业领域的专用文档智能解决方案提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity90
占主导地位的“检查记录”，工业领域，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
适用于文档智能
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand94
需求由全球智能文档处理（IDP）市场极高的增长驱动，预计从 2025 年到 2030 年的复合年增长率为 33.1%，因为工业公司正在自动化处理海量关键信息。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility16
个人身份信息/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，收购自 TBAuctions
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 Independence45
收购自 TBAuctions
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 个数据需求信号（2 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 — 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 Audit92
✓ 良好目标 — Surplex 是一个强有力的匹配项，因为其核心业务是拍卖二手工业机械，而它创建的有价值的检查和估值报告是该主要运营活动的副产品，并未作为独立产品出售。问题：该公司于 2024 年 8 月被欧洲更大的拍卖集团 TBAuctions 收购；这可能会改变其战略或使其成为一个不太独立的تنظيم目标。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
Surplex 维护着来自数千次工业拍卖的结构化交易数据，其中包括最终中标价格、机器规格和物流细节，为任何文档分析提供了丰富的经济背景。
Inspection reports
该公司生成并拥有专有的检查报告集合，其中包含对二手机械的专业评估和技术描述，这是为旨在解析复杂工业文档的模型设计的宝贵培训资产。
Industrial data
Surplex 拥有广泛的机械技术参数数据库，涵盖各种机械，可作为强大的地面真相来验证和提高从非结构化报告中提取的信息的准确性。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Historical (specific range not provided, assume multiple years)
Update frequency
Periodic
Delivery
API or direct download
Formats
License
One-time license for training AI/ML models for document intelligence and data extraction. 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 proprietary dataset of industrial machinery inspection reports and transaction data is highly valuable for training Document Intelligence models in a rapidly growing market. Its rarity and specialized nature, combined with strong sector demand, 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
Surplex Inspection Reports — a Moderate inspection reports dataset (Document modality) in the industrial domain. Primary AI use-case: Document Intelligence. Market signal: Global Intelligent Document Processing market was estimated at $2.30 billion in 2024, and is projected to grow at a CAGR of 33.1% to reach $12.35 billion by 2030 (source: Grand View Research). [3]. Investment score 69.5/100 (confidence 0.49). Recommended action: Partnership (group-level).
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