Dataset opportunity
Earth Ai — 大型数据资产机会
Earth Ai 持有的海量数据资产，可用于预训练和微调。
Score
76.8
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
58%
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
全球采矿业人工智能市场在 2024 年的估值为 299.4 亿美元，预计到 2033 年将达到 6856.1 亿美元，复合年增长率为 41.87%（来源：Grand View Research）。[7]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-13
Baffinland gets $110M loan, court-approved extension
mining.com ↗ - 📰press2026-06-12
Op-Ed: Scripted to fail — Europe’s critical minerals blind spot
mining.com ↗ - 📰press2026-06-12
Silver stockpile drawdown risk is misunderstood
mining.com ↗ - 📰press2026-06-12
Mining’s next boom is off the map: Arctic ice, abyssal plains and asteroids
mining.com ↗ - 📰press2026-06-12
Hertha Metals targets rare earth magnet supply gap with Texas high-purity iron plant
mining.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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
大型数据资产
Modality
多模态
Sector
工业
Volume
大型
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
混合所有权 — 许可清晰
Buyer persona
基础模型实验室
Earth Ai 拥有一个大型多模态数据资产，整合了来自澳大利亚矿产勘探站点的广泛地理数据以及来自专有钻探传感器的高频物联网数据。地质勘测、传感器读数和其他工业数据的这种独特组合为旨在资源发现和提取优化的基础模型预训练提供了全面的基础。庞大的数据量使得开发高度细致且准确的 AI 系统成为可能。[13, 20]
全球采矿业人工智能市场正在经历爆炸式增长，一项预测显示该市场到 2033 年将达到6856.1 亿美元，其增长动力是惊人的 41.87% 的复合年增长率。[7] 这种高增长反映了 AI 买家在资源勘探中寻求竞争优势的巨大需求。[18] 尽管由于数据与矿产资产和专有硬件的关联而导致访问复杂，但其稀有性和与运营结果的直接联系使其在利润丰厚的自然资源领域构建最先进的预测模型方面具有非凡的价值。[13, 18] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据与矿产资产和勘探权相关；专有钻探传感器数据技术性强且依赖硬件；运营主要在澳大利亚，而总部在美国 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
公开证据证实 Earth Ai 拥有一个庞大的专有多模态数据集，独特地整合了50 年的历史地质信息与其自有钻探车队和地球化学实验室的实时运营数据。这个垂直整合的资产包含超过4 亿个数据点，是针对工业领域的基础模型实验室进行预训练的稀有资源。对于买家来说，它在快速扩张的采矿业人工智能市场中提供了决定性优势，该市场预计每年增长超过40%。
See dimension details ↓- Dataset Specificity90
主导的“数据量”，工业领域，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 Volume80
5 个证据命中，明确提及数据量
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 Value74
适用于预训练
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand94
人工智能训练数据集市场预计将从 2024 年的 28.2 亿美元增长到 2029 年的 95.8 亿美元，复合年增长率为 27.7%，这得益于人工智能在自动驾驶和制造业等工业领域的应用。[4, 6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
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 Strength77
4 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 License58
所有权=混合，许可=清晰
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 Orientation56
2 个数据需求信号（2 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 — 超出已货币化数据的专有数据
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.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Data-volume signal
这些证据证实了一个包含4 亿个不同数据点、跨越50 年全球地质历史的庞大数据集，为预训练资源发现模型提供了实验室所需的基础规模。
IoT / sensor data
该公司从其持续运行的钻探车队生成专有的实时时间序列数据，为模型微调和验证提供了独特的运营物联网信号流。
Industrial data
这表明来自内部实验室的高速地球化学分析数据的专有流，为在钻探作业中发现的材料提供了快速的地面实况标签。
Geospatial data
这证实了结构化表格数据的存在，该数据将人工智能识别的潜在热点区域与人类专家生成的钻探假设联系起来，捕捉了高价值的决策过程。
Marketplace
Dataset details
Geographic coverage
Australia
Time range
50 years historical to real-time
Update frequency
Real-time
Delivery
S3 bucket
Formats
CSV, JSON
License
One-time license for pretraining foundational models. Usage restrictions may apply to downstream commercialization of models trained on this 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 a proprietary, multimodal asset with 50 years of historical geological data integrated with real-time IoT sensor data. The explosive growth in the AI in Mining market, projected to exceed $685 billion by 2033, creates significant demand for such foundational pretraining resources.
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
Earth Ai Large-Scale Data — a Large large-scale data asset (Multimodal modality) in the industrial domain. Primary AI use-case: Pretraining. Market signal: Global AI in Mining market was valued at USD 29.94 billion in 2024 and is projected to reach USD 685.61 billion by 2033, growing at a CAGR of 41.87% (source: Grand View Research). [7]. Investment score 76.8/100 (confidence 0.58). Recommended action: Acquire.
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