Dataset opportunity
Fit — 法规记录数据集机会
Fit 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
78.8
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
63%
Action
许可
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)
2025 年全球数字孪生市场规模为 358 亿美元，复合年增长率为 31.1%（来源：Grand View Research）。[2, 5, 9]
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
法规记录数据集
Modality
文本
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
混合所有权 — 许可权待明确
Buyer persona
RegTech 与合规 AI 供应商
Fit 持有一个由多模态数据组成的监管记录数据集，包括监管文件、工业数据和物联网数据。该集合包含来自 EOS、SLM 和 Arcam 系统的机器日志、图像集以及文本合规证据，非常适合开发监管 RAG 应用程序，以应对工业环境中复杂的质量和合规查询。
这些数据直接服务于全球数字孪生市场，该市场在 2025 年的价值为358 亿美元，预计将以惊人的 31.1% 的复合年增长率增长。[2, 5, 8, 9] 由于客户知识产权敏感性和高安全要求（TISAX/FDA），访问权限复杂，但这些障碍确保了数据的稀有性和高价值，使其成为旨在在快速扩张、高风险市场中领先的 AI 买家的战略资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：流程数据通常与客户拥有的 3D 几何图形（知识产权敏感）相结合；由于 TISAX 和 FDA 认证，安全标准很高；数据需要从异构工业机器日志（EOS、SLM、Arcam）中提取 · 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 Fit 作为一家FDA 注册的医疗植入物合同制造商，生成专有的监管文件。该数据集对于寻求构建专业监管 RAG 模型的 RegTech 和合规 AI 供应商来说是一项高价值资产。在快速扩张的工业数字孪生市场中，获取先进增材制造的真实合规数据可提供显著的竞争优势。
See dimension details ↓- Dataset Specificity100
主导的“监管”，工业领域，4 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（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 Volume64
5 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value94
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 买家需求极高，这得益于**358 亿美元**的数字孪生市场爆炸性的 **31.1% 的复合年增长率**，因为公司正在寻求专业数据以实现监管合规和流程优化。[2, 5, 9]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility56
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 Feasibility66
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 Strength86
5 种证据类型，5 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
所有权=混合，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 Orientation50
2 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，4 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增材制造，而不是销售数据，这使其成为一个绝佳的目标，因为其庞大的运营和机器数据是其工业服务的有价值的、休眠的副产品。[14, 15] 问题：最初的来源原因（“监管记录数据集”）完全不正确；该公司的业务是增材制造；公司名称“FIT”和域名可能与其他多个实体混淆，包括一家美国 IT 服务提供商和 t
- Deep Qualification90
⚠ 需要审查 — 目标是增材制造的合同制造商；它作为其服务副产品持有数据，但这些数据与客户拥有的知识产权密切相关，并受到严格的信息安全标准（TISAX、FDA）的约束，因此受到高度限制。[数据归公司客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>Grid upgrades take years. Manufacturers need options that move in months.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/jCkNESh9S8VKMtYhT4ib91vGpxBDN8iQkGp9PsRxRv4/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9USEFBRC1OR0ktVHJveS1Hcm91bmRicmVha2luZy0xOTIwLmpwZw==.webp" /></div></figure><p>The weapons maker will produce THAAD missile rounds at its facilities in Texas, California, Arkansas and Alabama. The company is also investing over $9 billion to meet munitions demand through 2030.</p>”
- “<p>The program will focus on accelerating the use of additive manufacturing for aerospace components and establishing a domestic critical minerals supply chain. NIST has committed to spending about $20 million per pilot project.</p>”
Downloads / exports
持有者发布其专有制造工艺的技术指南，为微调语言模型提供有价值的领域特定术语。
Industrial data
公司记录其制造资产的具体细节，包括机器类型和数量，提供其生产能力和技术能力的可验证记录。
Image collection
持有者创建了一个专门用于制造组件的图像数据库，这是训练用于自动化质量保证的计算机视觉模型的核心资产。
IoT / sensor data
公司运营着复杂的数据网络来监控工厂运营，表明存在来自物联网传感器的丰富的时间序列数据，非常适合流程优化模型。
Regulatory records
持有者已在美国 FDA 正式注册，证明其生成了培训医疗科技制造行业 AI 所需的专有合规和验证记录。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Text, Image
License
One-time license for developing Regulatory RAG applications, with potential restrictions on redistribution and commercial use of raw data.
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 high rarity as proprietary regulatory records from an FDA-registered manufacturer, combined with strong demand from the rapidly growing Digital Twin market for Regulatory RAG applications. The inclusion of machine logs, images, and textual compliance evidence from specific industrial systems (EOS, SLM, Arcam) makes it a unique asset.
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
Fit Regulatory Records — a Moderate regulatory records dataset (Text modality) in the industrial domain. Primary AI use-case: Regulatory RAG. Market signal: Global Digital Twin market = $35.8 billion in 2025, CAGR 31.1% (source: Grand View Research). [2, 5, 9]. Investment score 78.8/100 (confidence 0.63). Recommended action: License.
From the marketplace
Explore live data opportunities
Denholm Goodlogistics — 法规记录数据集机会
View opportunity →mobilityColeintl — 法规记录数据集机会
View opportunity →出行Independentlogistics — 监管记录数据集机会
View opportunity →