Dataset opportunity
Geotech — 可下载数据资产商机
由Geotech持有的大型可下载数据资产，可用于微调和预训练。
Score
76.7
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
66%
Action
数据共享协议
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
地理空间分析市场在2025年估值为**878.1亿美元**，预计到2035年将超过**2776.3亿美元**，复合年增长率（CAGR）超过**12.2%**（2026-2035年）。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-07
US Elemental eyes Nasdaq debut as McDermitt lithium project advances
mining.com ↗ - 📰press2026-06-05
Litus, Uwin Nanotech to collaborate on critical minerals recovery tech
mining.com ↗ - 📰press2026-06-05
Hoekstra casts Canada as key US critical minerals partner
mining.com ↗ - 📰press2026-06-05
Solar silver thrifting not enough to curb demand
mining.com ↗ - 📰press2026-06-05
Fortune advances Nico cobalt-gold project as cash hurdle looms
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
可下载数据资产
Modality
表格型
Sector
工业
Volume
大
Freshness
实时
Rarity
中等
Accessibility
部分
Legal
公司所有 — 受限
Buyer persona
领域大语言模型构建者和垂直领域AI初创公司
Geotech 拥有可下载的表格数据资产，包含大量数据量，其中包括专门的地理空间数据和物联网数据，这些数据对于 AI 模型的精调极具价值。这些资产通过其下载量和多样化的数据类型得到验证，为训练和调整 AI 系统以适应特定工业应用提供了丰富的基础。
此类数据的商业价值巨大，仅地理空间分析市场预计到 2035 年将达到 2776.3 亿美元以上，复合年增长率超过 12.2%，而工业物联网市场到 2035 年将达到 9641.6 亿美元，复合年增长率约为 13.3%。尽管由于客户生成和需要特定专业知识进行解释和利用而存在共享的合同限制，但这种地球物理数据的稀缺性和专业性质使其对于寻求提高 AI 模型性能的买家来说具有非凡的价值。⚠ 尽职调查（有价值的数据，可协商访问）：数据是为客户生成的，这意味着在共享或二次使用方面存在合同限制；专门的地球物理数据需要特定的专业知识进行解释和利用。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Geotech 拥有通过其专利 VTEM™ 和 ZTEM™ 技术获得的广泛的专有地球物理勘测数据。该独特数据集包含数百万线公里的电磁、磁力、辐射测量和重力测量数据，对于精调领域大型语言模型和赋能快速扩张的地理空间分析市场中的垂直 AI 初创公司至关重要。它为训练高精度 AI 模型以进行矿产勘探、地下测绘和环境评估提供了无与伦比的机会，该市场预计到 2035 年将达到 2770 亿美元以上。
See dimension details ↓- Dataset Specificity78
主导的“下载量”，工业领域，2 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 Rarity46
专有领域数据（开放会降低稀缺性）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume100
9 条证据，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 Value64
适用于精调
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
工业领域买家对可下载数据资产用于 AI 精调的需求非常高，因为预计工业 AI 市场在 2025 年至 2035 年的复合年增长率为 46.02%，表明对专业训练数据有强烈需求。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility52
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 Strength89
4 种证据类型，9 条命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License66
所有权=自有，许可=受限
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 Orientation84
4 个数据需求信号（3 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. - ICP Audit42
⚠ 审查 — Geotech 的核心业务是提供航空地球物理勘测服务，包括数据采集、处理和解释，这意味着他们已经在积极销售数据和衍生情报，使其成为不适合的目标。问题：公司的主要产品是为客户收集、处理和解释地球物理数据，这意味着他们已经在该业务中；虽然 Geotech 拥有通过其 VTEM™ 和 ZTEM 技术收集的专有数据
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
这些证据指向公开可用的地球物理勘测报告和项目数据，提供了关于矿产勘探和特定项目成果的有价值的背景信息，非常适合对行业术语和案例研究进行 LLM 训练。
IoT / sensor data
这代表了从先进设备收集的专有时间序列传感器数据，包括电磁、磁力、辐射测量和重力测量，提供了关键的原始、高保真地下信息，用于先进的地质建模和资源识别。
Geospatial data
这证实了 Geotech 对专利 VTEM™ 和 ZTEM™ 技术的所有权，强调了其生成专业电磁数据的独特能力，并强化了其核心数据资产的专有性质和高质量。
Data-volume signal
这突出了一个庞大的历史多模态地球物理勘测数据档案，来自直升机电磁和固定翼勘测，超过1350 万线公里，展示了巨大的运营经验规模，并为大规模 AI 模型训练提供了卓越的基础。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Historical (millions of line-kilometers)
Update frequency
One-off (historical data)
Delivery
Downloadable Data Asset
Formats
Tabular
License
Licence for AI model fine-tuning and internal business intelligence. Restrictions on redistribution and resale 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 large volume of specialized geophysical survey data, critical for fine-tuning AI models in the rapidly growing geospatial and industrial IoT sectors. High demand from vertical AI startups and the proprietary nature of the data support a premium valuation.
Detailed schema & sample available on access request.
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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
Geotech Downloadable Data — a Large downloadable data asset (Tabular modality) in the industrial domain. Primary AI use-case: Fine Tuning. Market signal: The **Geospatial Analytics Market** was valued at **$87.81 billion USD** in 2025 and is projected to surpass **$277.63 billion USD** by 2035, growing at a **CAGR of over 12.2%** (2026-2035).. Investment score 76.7/100 (confidence 0.66). Recommended action: Data Sharing Agreement.
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