Dataset opportunity
Gefip — 监管记录数据集商机
由Gefip持有的中等规模监管记录数据集，可用于监管RAG和合规Copilots。
Score
62.9
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
全球监管科技市场 = USD 24.34 billion in 2025, CAGR 21.1% (2026-2033)。全球金融市场数据支出 = $44.3 billion in 2024。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-04
Steel imports down 30% in 2026 as tariffs bolster US production
manufacturingdive.com ↗ - 📰press2026-06-04
Tariff fraud enforcement targets importers over alleged duty evasion
freightwaves.com ↗ - 📰press2026-06-04
Deere recovers $272M in tariff refunds
supplychaindive.com ↗ - 📰press2026-06-03
Trump admin appeals aspects of tariff refund order
supplychaindive.com ↗ - 📰press2026-06-03
US eyes new tariffs for China, EU, Mexico and more after labor probes
supplychaindive.com ↗
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
监管记录数据集
Modality
文本
Sector
金融
Volume
适中
Freshness
周期性
Rarity
中等
Accessibility
受限
Legal
混合所有权 — GDPR敏感（个人身份信息审查）
Buyer persona
监管科技和合规AI供应商
Gefip 拥有一个监管记录数据集，采用文本模式，包含数据目录、监管文件和交易数据。这种丰富的专有数据对于监管RAG应用极具价值，使AI系统能够为复杂的金融合规查询检索并生成准确、上下文相关的回复。该数据集的详细性质，包括客户特定的财务信息，使其成为在金融领域训练和夯实AI模型的关键资源。
这种专业数据的市场潜力巨大，全球监管科技（RegTech）市场预计在2025年达到USD 24.34 billion，并预计到2033年达到USD 112.10 billion，复合年增长率（CAGR）为21.1%。尽管客户数据具有GDPR敏感性，且原始市场数据可能存在许可复杂性，但利用这些信息进行AI驱动的合规性管理具有巨大的商业价值。全球金融市场数据支出在2024年达到$44.3 billion，进一步强调了对高质量金融数据的高需求，以推动AI计划并保持监管合规性。⚠ 尽职调查（有价值的数据，可协商访问）：数据包含客户特定的财务信息，使其具有GDPR敏感性；专有分析模型和分类是其业务的关键；原始市场数据的访问可能受特定许可限制。· 企业：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Gefip作为金融领域的重要实体，在生成和管理监管相关文本数据方面拥有深厚专业知识，这体现在其为其多元化投资基金积极制作ESG报告。这直接满足了AI驱动的监管RAG系统对高质量、真实世界监管文本的关键需求，特别是对于监管科技（RegTech）和合规AI供应商而言。鉴于全球监管科技市场预计到2025年将达到USD 24.34 billion，以及金融市场数据的巨大支出，该数据集为在快速变化的金融环境中推动先进合规解决方案提供了及时且宝贵的机会。
See dimension details ↓- Dataset Freshness62
API/开放（当前）
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Dataset Rarity46
专有领域数据（开放会降低稀有度）
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 Specificity78
主导‘监管’，金融行业，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. - 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 Demand95
金融AI领域对监管记录数据集的需求非常高，这得益于金融AI市场中合规自动化平台预计35.7%的复合年增长率（CAGR），以及对结构化监管数据的关键需求，以实现
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility14
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 Feasibility48
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个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
所有权=混合，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个数据需求信号（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，5个近期外部信号 — 超出已货币化的专有数据
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 Audit58
⚠ 审核 — Gefip 是一家可联系的中小企业，专门从事金融资产和投资基金管理，但其销售金融情报和服务的核心业务使其成为 d-nvest 的不合适目标。问题：该公司的核心业务是销售金融情报和（投资管理、基金管理）服务，这被理想 C 明确排除；虽然 Gefip 使用并生成专有的金融分析为其服务，但这些数据是其核心业务不可或缺的一部分。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
此证据证实Gefip积极管理多个投资基金并拥有历史业绩数据，表明其深厚的运营经验支撑着监管框架的实际应用。
Data catalog / marketplace
Gefip维护着一个包含1300多只股票的广泛数据目录，按风险因素和估值进行细致分类，展示了与跨不同资产类别的监管合规性相关的复杂数据管理能力。
Regulatory records
至关重要的是，Gefip积极为其基金制作ESG报告，直接展示了其持续收集和分析环境、社会和治理数据，这是AI应用真实世界监管文本的主要来源。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Periodic updates, specific range not provided
Update frequency
Periodic
Delivery
API
Formats
Text
License
One-time license for internal use in Regulatory RAG applications.
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 dataset of regulatory records, including client-specific financial information, is highly valuable for specialized Regulatory RAG applications within the rapidly growing RegTech sector. Its moderate rarity and specific finance sector demand justify a premium.
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Gefip Regulatory Records — a Moderate regulatory records dataset (Text modality) in the finance domain. Primary AI use-case: Regulatory RAG. Market signal: Global RegTech market = USD 24.34 billion in 2025, CAGR 21.1% (2026-2033). Global spending on financial market data = $44.3 billion in 2024.. Investment score 62.9/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Nearnorthcustoms — 法规记录数据集机会
View opportunity →其他Roadnighttaylor — 监管记录数据集机会
View opportunity →mobilityNesslog — 监管记录数据集机会
View opportunity →