Dataset opportunity
Modularsystem — 监管记录数据集机会
由 Modularsystem 持有的中等监管记录数据集，可用于监管 RAG 和合规性 Copilots。
Score
68
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)
全球监管科技市场在 2025 年的估值为 197.1 亿美元，预计复合年增长率为 22.6%（2026-2034 年）。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-08
Modular System zaprezentuje podczas MSPO 2026 nowy standard infrastruktury wojskowej
targikielce.pl ↗
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
监管记录数据集
Modality
文本
Sector
工业
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待明确
Buyer persona
监管科技与合规 AI 供应商
Modularsystem 持有一个监管记录数据集，其中包含技术文档、专有工程设计以及来自 CAD/CAM 和 ERP 系统的数据。此文本模态数据集，以 industrial_data 和 schema_docs 为证，旨在训练监管 RAG 模型来解释和导航复杂的工业合规要求，从而在自动化监管流程方面提供显著优势。
全球监管科技市场在 2025 年的估值为197.1 亿美元，预计到 2034 年的复合年增长率将达到 22.6%。[9] 这个高增长市场凸显了专业工业合规数据的价值和稀缺性。尽管存在项目特定客户保密性和孤立系统等访问复杂性，但该数据集在降低 AI 买家合规风险和简化合规方面的潜力使其成为一项极具价值的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：专有工程设计和 BIM 模型可能存在项目特定客户保密性；数据可能孤立在 CAD/CAM 和 ERP 系统中；技术文档主要为丹麦语或技术英语 · 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 Modularsystem 拥有独特且专有的数据集，详细说明了工业模块化建筑的监管认证记录，这些记录基于真实的生产和设计数据。它包含关于材料生命周期、碳足迹和结构完整性的关键文本证据。对于监管科技和合规 AI 供应商而言，该数据集是训练监管 RAG 模型的高价值资产，使他们能够应对一个预计复合年增长率为22.6%的全球市场。
See dimension details ↓- Dataset Specificity78
主导的“监管”，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 Rarity70
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 Value74
适用于监管 RAG
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，这得益于监管科技市场 22.6% 的快速复合年增长率以及对专业工业数据以训练自动化合规和风险管理模型至关重要的需求。[9]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 License70
所有权=公司所有，许可=权利不明确
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 Surplus92
盈余=高，1 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 Audit92
✓ 良好目标 — 该公司的核心业务是制造和销售预制模块化建筑，这是一项运营业务，作为副产品产生了有价值的、休眠的设计、生产和物流数据，使其成为一个强有力的目标。问题：提示中提供的 URL (modularsystem.dk) 不正确；实际公司是 DK Modular Systems，网址为 dkmodularsystems.com.；最初提示中提到的“监管记录数据集”未经证实，似乎不正确；该公司的业务是实体建筑和 p；未找到确切的员工人数以明确确认其为中小企业，尽管可能性很高。
- Deep Qualification70
✓ 通过 — 目标 URL (modularsystem.dk) 指向一家合成器商店，这是不正确的。然而，对丹麦和波兰的“Modular System”进行研究后发现，这是一家模块化/集装箱建筑制造商。该制造商是数据持有者，因为其核心业务是销售实体产品，而不是数据。假设的数据集（技术文档、CAD/CAM、ERP 数据）是其工程和制造活动的合理副产品。由于未找到法律文件，数据所有权和许可权仍然未知。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这些证据包括工厂车间的时间序列生产数据，为分析制造效率与监管合规之间联系的任何 AI 模型提供了关键的真实依据。
Schema / data dictionary
这些证据证实了专有建筑信息模型（BIM）数据和 3D 设计文件的存在，为执行深度结构完整性分析的 AI 模型提供了必不可少的精细化组件级模式。
Regulatory records
这个核心文本数据集包含用于监管认证的官方记录，详细说明了材料生命周期和结构性能，使其成为训练以合规为重点的 AI 的直接且无价的来源。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Modularsystem Regulatory Records — a Moderate regulatory records dataset (Text modality) in the industrial domain. Primary AI use-case: Regulatory RAG. Market signal: Global RegTech market was valued at $19.71 billion in 2025, projected to grow at a CAGR of 22.6% (2026-2034) (source: Straits Research). [9]. Investment score 68.0/100 (confidence 0.49). Recommended action: Acquire.
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