Dataset opportunity
Fossandco — 法规记录数据集机会
Fossandco 持有的中等规模法规记录数据集，可用于法规 RAG 和合规助手。
Score
48
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)
全球监管科技市场规模在 2025 年估值为 186 亿美元，预计复合年增长率为 17.10%（2026-2034 年）（来源：IMARC Group）。[1]
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
法规记录数据集
Modality
文本
Sector
金融
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待明确 · PII/受监管
Buyer persona
监管科技与合规 AI 供应商
Fossandco 持有一个由文本模态数据组成的监管记录数据集，包括工业数据、监管文件和交易数据。这些历史承保文件和内部交易分类账的集合为训练和支持监管 RAG 系统提供了丰富、历史悠久的基础，使人工智能能够准确地解释和响应复杂的合规查询。
利用此类数据的全球RegTech市场在 2025 年的估值为 186 亿美元，预计在 2026 年至 2034 年间的复合年均增长率 (CAGR) 为 17.10%。[1] 尽管由于保密协议和孤立的遗留系统存在访问复杂性，但这一有价值的数据集需求量很大。其稀缺性以及在处理美国国税局合规和税收股权结构方面的直接适用性，使其成为金融领域任何人工智能买家的战略资产。⚠ 尽职调查（有价值的数据，协商访问权）：金融交易数据受机构投资者严格保密协议的约束；数据可能孤立在遗留承保文件和内部交易分类账中；关于税收股权结构和美国国税局合规记录的监管敏感性 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了 Fossandco 拥有一个独特、专有的数据集，详细说明了复杂的税收股权项目的财务、工业和监管机制。这些数据对于寻求构建复杂的监管 RAG 模型的 RegTech 和合规人工智能供应商来说是一项关键资产。在全球 RegTech 市场预计每年增长超过 17% 的情况下，该数据集提供了一个难得的机会，可以就可再生能源和历史修复税收抵免的细微差别对人工智能进行培训，从而解锁高度准确的自动化合规解决方案。
See dimension details ↓- Dataset Specificity90
主导的“监管”，金融行业，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
适合监管 RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家的需求源于对专业监管数据的迫切需求，以在快速增长的 RegTech 市场中为合规模型提供支持，该市场正以 17.10% 的 CAGR 扩张。[1]
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 License70
所有权=已拥有，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 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，2 个近期外部信号 — 超出已货币化部分的专有数据
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 Audit67
⚠ 审查 — 该公司的核心业务是提供税收抵免投资服务和管理基金，这是一种销售情报和金融产品的方式，因此不适合 ICP。问题：该公司的商业模式明确排除了 ICP 标准，因为它们销售金融情报和投资服务，而不是以数据为核心的产品；它们拥有的数据是其金融服务的核心资产，而不是休眠的或来自其他操作的未开发废弃物。[12]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>[Compte-rendu] Après des années d’un schéma fondé sur les aides publiques, le secteur des énergies renouvelables (EnR) en France est lancé dans la quête de nouveaux modèles économiques – et de financements pour les soutenir. Des modèles plus risqués auxquels </p> <p>L’article <a href="https://www.greenunivers.com/2026/07/les-financeurs-se-preparent-aux-modeles-daffaires-plus-risques-428465/">Les financeurs se préparent aux modèles d’affaires plus risqués</a> est apparu en premier sur <a href="https://www.greenunivers.com">GreenUnivers</a>.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/xFQ2o-DK7Q3Aij5XGfLAvVKYAG6K8a8R6jkKfhaSmAo/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0yMjIzODMzMTk2LmpwZw==.webp" /></div></figure><p>“That missing money has to come from somewhere to make the project pencil, and that will likely be through PPA prices,” said Josh Price, director of intelligence and research at Crux.</p>”
Transaction data
该数据集包括交易数据，详细说明了超过 80 亿美元的税收股权融资，提供了金融建模和风险评估人工智能所寻求的关键经济背景。
Industrial data
它包含来自太阳能、风能和电池储能项目的工业项目数据，直接与联邦税收抵免相关，对于训练人工智能了解可再生能源行业的具体情况至关重要。
Regulatory records
该机会的核心是专有的监管文本语料库，涵盖了数百个历史税收抵免项目的专业联邦和州级规则，非常适合微调高精度法律和合规语言模型。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Legacy to present (specific range not provided)
Update frequency
Periodic
Delivery
API or direct export (TBD)
Formats
Text
License
One-time license for internal use, training AI models, and regulatory compliance applications. Restrictions on redistribution 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 nature and direct applicability to the high-growth RegTech sector, specifically for Regulatory RAG applications. Demand is high due to the critical need for AI to interpret complex financial and regulatory documents.
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
Fossandco Regulatory Records — a Moderate regulatory records dataset (Text modality) in the finance domain. Primary AI use-case: Regulatory RAG. Market signal: Global RegTech market size was valued at USD 18.6 Billion in 2025, with a projected CAGR of 17.10% (2026-2034) (source: IMARC Group). [1]. Investment score 48.0/100 (confidence 0.49). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Cruxbv — 法规记录数据集机会
View opportunity →移动Cargolution — 法规记录数据集机会
View opportunity →移动Zolldex — 监管记录数据集机会
View opportunity →