Dataset opportunity
Ontruck — 可下载数据资产机会
Ontruck 持有的中等可下载数据资产，可用于微调和预训练。
Score
56.6
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
41%
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
全球物流和供应链人工智能市场 = 2024 年为 201 亿美元，复合年增长率为 25.9%（2025-2034 年）。[1]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-11
Rate, service issues flagged by ag retailers in Union Pacific-Norfolk Southern rail merger
freightwaves.com ↗ - 📰press2026-06-11
TIA asking FMCSA for guidance on approved carriers post-Montgomery
freightwaves.com ↗ - 📰press2026-06-11
Who’s hauling America’s Fourth of July explosives?
freightwaves.com ↗ - 📰press2026-06-11
Why Fiji Water temporarily operated its own shipping network
supplychaindive.com ↗ - 📰press2026-06-11
Truckload carriers eyeing multiyear rate upcycle
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
可下载数据资产
Modality
表格
Sector
出行
Volume
中等
Freshness
定期
Rarity
低（商品）
Accessibility
开放/API
Legal
所有权待确认 — 许可待确认
Buyer persona
领域大语言模型构建者和垂直人工智能初创公司
Ontruck 拥有一项宝贵的可下载数据资产，形式为结构化的表格运营数据。这包括详细的货运历史记录、承运商绩效、实时定价、路线效率和交付成功率。这种干净的真实世界数据集非常适合微调人工智能模型，使其能够学习区域货运物流的具体模式和复杂性，从而提高需求预测和路线优化等任务的预测准确性。[1, 12, 13]
物流行业在人工智能方面的巨额投资证明了其商业价值，该市场在 2024 年的价值为201 亿美元，预计复合年增长率为 25.9%。[1, 5, 12] 获取干净、结构化物流数据的固有的稀缺性和复杂性使得 Ontruck 的资产尤为宝贵。[17] 虽然集成此类数据需要专业知识，但能够微调模型以在车队管理、供应链规划和风险管理方面实现卓越的预测分析，可提供显著的竞争优势，从而证明了人工智能买家投资的合理性。[1, 11] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：公司：结构待确认。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实了 Ontruck 在物流和车队管理中应用人工智能的领域特定内容的生成和分发。这些材料以可下载的表格资产形式提供，正是领域大语言模型构建者和垂直人工智能初创公司在真实行业术语和运营场景上微调模型所需要的。随着物流人工智能市场迅速扩展至 201 亿美元，此类数据集为开发专业的物流人工智能解决方案提供了关键的市场进入速度优势。
See dimension details ↓- Dataset Specificity54
主导的“下载量”，行业出行，0 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 Rarity22
专有领域数据（开放降低了稀缺性）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume58
4 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness62
API/开放（当前）
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value44
适合微调
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
全球人工智能在出行市场的复合年增长率预计将从 2026 年到 2035 年达到 44.6%，这将推动对专业数据以微调人工智能模型以用于自动驾驶等应用的巨大需求
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility72
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，结构待确认
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength47
1 种证据类型，4 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License59
所有权=未知，许可=未知
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence70
结构待确认
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 数据需求信号（0 类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
盈余=中等，5 个近期外部信号 — 超出已货币化内容的专有数据
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 Audit75
⚠ 审核 — Ontruck 的核心业务是销售人工智能驱动的物流平台和情报服务，而不仅仅是运营车队，这使得它与 d-nvest 旨在揭示的情报不匹配，因为它已经销售了这些情报。问题：公司的核心产品是人工智能驱动的平台，销售情报（AI定价引擎、AI路由引擎）以优化物流。[1, 15]；商业模式是作为技术驱动的市场，收取交易费，为托运人管理定价和路由。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
证据证实了可下载内容的可用性，例如新闻资料袋和文章，重点关注人工智能在管理服务车队中的应用，为模型训练提供了有价值的领域特定文本。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Historical (specific range not provided)
Update frequency
Periodic
Delivery
Downloadable Data Asset
Formats
Tabular
License
One-time license for use in AI model fine-tuning and related applications.
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 stems from its structured, tabular operational data for freight logistics, ideal for fine-tuning AI models in a rapidly growing AI in Logistics market. Its moderate volume and sector-specific nature position it well for domain LLM builders and AI startups.
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
Ontruck Downloadable Data — a Moderate downloadable data asset (Tabular modality) in the mobility domain. Primary AI use-case: Fine Tuning. Market signal: Global AI in Logistics and Supply Chain market = $20.1 Billion in 2024, CAGR 25.9% (2025-2034). [1]. Investment score 56.6/100 (confidence 0.41). Recommended action: License.
From the marketplace
Explore live data opportunities
Jaka — 维护日志数据集机会
View opportunity →工业Brightmachines — 工业运营数据集机会
View opportunity →工业Rmsenergy — 维护日志数据集机会
View opportunity →