Dataset opportunity
Unsworth — 监管记录数据集机会
Unsworth 持有的中等规模监管记录数据集，可用于监管 RAG 和合规副驾驶。
Score
72.9
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
63%
Action
获取
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
全球检索增强生成 (RAG) 市场 = 2024 年 13 亿美元，复合年增长率 49.9% (2025-2034)；全球监管事务中的人工智能市场 = 2024 年 13.1 亿美元，复合年增长率 18.60% (2025-2033)。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-05
The Number the Dealer Shows You Is Not What the Truck Costs: How to Calculate the Real Price of Financing
freightwaves.com ↗ - 📰press2026-06-05
SONAR Sitrep: Housing affordability drags down key freight sectors
freightwaves.com ↗ - 📰press2026-06-05
Migrants rescued from burning trailer after South Texas smuggling chase
freightwaves.com ↗ - 📰press2026-06-05
FMCSA reviews 11 epilepsy waiver requests from commercial drivers
freightwaves.com ↗ - 📰press2026-06-05
California’s meal break rule for bus drivers shot down by federal court
freightwaves.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
出行
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待澄清 · PII/受监管
Buyer persona
监管科技和合规AI供应商
Unsworth 持有一个全面的监管记录数据集，以文本模式呈现，包含与出行行业相关的 `event_streams`（事件流）、`geo_data`（地理数据）、`industrial_data`（行业数据）、`regulatory`（监管）和 `transaction_data`（交易数据）。该数据独特地能够支持监管 RAG 应用，使 AI 模型能够通过将其与特定、可信赖的来源相结合，提供准确、可验证和可审计的响应。此功能对于减少 AI 幻觉和确保高度监管行业的合规性至关重要。
监管事务中的 AI 市场在 2024 年的价值为13.1 亿美元，预计到 2033 年将以 18.60% 的复合年增长率增长，这表明对此类解决方案的需求强劲。此外，更广泛的检索增强生成 (RAG) 市场正在经历爆炸式增长，估计在 2024 年为13 亿美元，并预计到 2034 年将达到745 亿美元，复合年增长率高达 49.9%。虽然数据所有权可能混合，并且特定货运数据的许可需要仔细考虑 GDPR 和商业敏感性，但合规性中对可审计 AI 的关键需求凸显了此稀有且专业数据集的巨大商业价值。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能在 Unsworth 的运营数据和客户货运数据之间混合；特定货运数据的许可可能需要澄清个人数据（GDPR）和商业敏感性问题。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Unsworth 在全球出行领域的广泛运营足迹得益于丰富、专有的数据集，尤其在监管合规和实时物流事件方面表现强劲。这种独特的组合直接满足了RegTech 和合规 AI 供应商日益增长的需求，他们正在积极寻求高质量数据用于检索增强生成 (RAG) 系统。随着全球监管事务中的 AI 市场价值 13.1 亿美元，RAG 市场价值 13 亿美元，该数据集为 AI 买家提供了一个关键且及时的机会，以无与伦比的、特定行业的智能来增强其解决方案。
See dimension details ↓- 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. - Dataset Specificity100
主导的“监管”，出行行业，5 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 Rarity100
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume64
5 次证据命中
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 Value100
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 Demand74
AI 买家对监管 RAG 的需求
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. - 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 Orientation22
0 数据胃口信号（0 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 — 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 Audit100
✓ 良好目标 — Unsworth 是一家货运代理和报关公司，在其核心业务的副产品中产生了大量运营数据，使其成为数据市场的有力竞争者。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
此证据证实了 Unsworth 庞大的交易量，处理了超过 110 万次货运，这对于训练专注于物流效率和市场预测的 AI 模型至关重要。
Geospatial data
该公司拥有广泛的全球网络数据，覆盖超过 1,000 个起点和目的地，这对于路线优化和国际贸易分析中的 AI 解决方案至关重要。
Event streams
Unsworth 通过其专有 Pathway 平台生成实时运营数据，提供细粒度的货运可见性和性能指标，这对于预测分析和供应链韧性至关重要。
Regulatory records
这直接证明了 Unsworth 在海关申报和监管合规方面的深厚专业知识，提供了丰富的文本数据，深受RegTech 和合规 AI 供应商用于 RAG 应用的追捧。
Industrial data
该数据集包含有价值的可持续性指标和货运级别的排放报告，支持绿色物流和供应链中ESG 合规的 AI 计划。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Text
License
One-time license for internal use in Regulatory RAG applications, with potential restrictions on redistribution.
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's value is driven by its high rarity and direct application in the rapidly growing Regulatory RAG and AI in regulatory affairs markets. The real-time freshness and comprehensive nature of mobility sector regulatory data make it a critical asset for compliance-focused AI solutions.
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
Unsworth Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global Retrieval Augmented Generation (RAG) market = $1.3 billion in 2024, CAGR 49.9% (2025-2034); Global AI in regulatory affairs market = $1.31 billion in 2024, CAGR 18.60% (2025-2033).. Investment score 72.9/100 (confidence 0.63). Recommended action: Acquire.
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