Dataset opportunity
Lilacsolutions — 可下载数据资产机会
Lilacsolutions 持有的大型可下载数据资产，可用于微调和预训练。
Score
79.9
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
67%
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
全球数据变现市场规模在2025年达到47亿美元，预计到2034年将达到173亿美元，2026-2034年期间的复合年增长率（CAGR）为15.13%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-04
EnergyX, Wildcat Discovery Technologies team up to build ‘battery mecca’ in Texas
mining.com ↗ - 📰press2026-06-04
Resource nationalism redraws critical minerals playbook
mining.com ↗ - 📰press2026-06-04
Surge Battery raises $21M for Nevada lithium project
mining.com ↗ - 📰press2026-06-03
Stardust Power joins Department of Energy-backed lithium extraction program
mining.com ↗ - 📰press2026-06-03
USA Rare Earth to invest $1.2B in South Carolina magnet factory
manufacturingdive.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
表格数据
Sector
工业
Volume
大
Freshness
实时
Rarity
中等
Accessibility
开放 / API
Legal
公司所有 — 可干净授权
Buyer persona
领域大型语言模型构建者和垂直AI初创公司
Lilacsolutions 提供一个可下载数据资产，以表格形式，包含与锂提取过程直接相关的广泛工业数据、物联网数据和地理数据。这一丰富的数据集，以其数据量和过往下载量为证，专为微调AI模型而设计，使买家能够为工业领域开发高度专业化和准确的AI解决方案。
尽管这些数据具有高度技术性和专有性，可能涉及访问复杂性，但其固有的稀有性和特异性使其极具价值。更广泛的数据货币化市场（包括此类专业工业数据集）正在经历显著增长，预计到2034年市场规模将达到173亿美元，复合年增长率为15.13%（2026-2034年），这突显了对此类特定领域数据资产的强劲需求，以推动AI创新。⚠ 尽职调查（有价值的数据，可协商访问）：数据具有高度技术性，专门针对锂提取过程；访问可能需要深入了解其专有的离子交换技术。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Lilac Solutions 明确拥有丰富多样的工业数据组合，包括与先进锂提取技术相关的专有过程工程、性能指标和地理空间洞察。这种独特的表格和时间序列数据组合，源自广泛的测试工作和运营进展，对于领域LLM构建者和垂直AI初创公司而言极具价值。在全球数据货币化市场预计到2034年达到173亿美元的背景下，该数据集为微调模型提供了难得的机会，以推动可持续资源开采和工业优化领域的创新。
See dimension details ↓- Dataset Specificity90
主导“下载量”，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 Rarity58
专有领域数据（开放会降低稀有性）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume92
7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
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
适合微调
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
工业AI市场预计在2025年至2035年间以46.02%的复合年增长率增长，这得益于自动化和机器学习技术的进步，从而推动了对用于微调AI模型的专业数据的需求。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility78
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 Strength92
5种证据类型，7个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
所有权=公司所有，授权=干净
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个数据需求信号（0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 — 超出已货币化范围的专有数据
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 Audit92
✓ 良好目标 — Lilac Solutions 是一家专注于锂提取的技术提供商，其核心业务会产生有价值的运营数据作为副产品，并且不主要销售数据或情报，这使其成为一个良好目标。问题：员工人数在不同来源之间存在差异，使得精确的中小企业分类略显模糊，尽管他们显然不是一家大型公司。一些来源表明
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
此证据证实了包含Lilac离子交换技术详细性能数据和成本影响的技术白皮书的可用性，为专注于工业过程分析的AI模型提供了关键的结构化洞察。
Industrial data
这指向锂生产中离子交换技术的专有过程工程数据和材料科学进展，为工业优化和可持续资源开采领域的AI开发提供了独特的时间序列洞察。
IoT / sensor data
这表明存在硬件仪表读数和物联网传感器数据，这些是工业环境中AI应用在实时监控、预测性维护和过程控制方面必不可少的时间序列信息。
Geospatial data
这证实了来自全球30多个锂卤水资源的地理空间数据和测试工作结果的存在，为资源勘探和地质建模中的AI模型提供了关键的表格数据。
Data-volume signal
这突出了基础的性能基准和功效数据，表明锂回收率超过90%，为AI在过程效率和资源回收优化方面提供了多模式的关键证据。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
Downloadable Data Asset
Formats
Tabular
License
One-time license for AI model fine-tuning in the industrial sector.
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 specificity to lithium extraction processes and its large volume, catering to the growing demand for AI fine-tuning in the industrial sector. The market read indicates strong growth in data monetization, supporting premium pricing for specialized assets.
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
Lilacsolutions Downloadable Data — a Large downloadable data asset (Tabular modality) in the industrial domain. Primary AI use-case: Fine Tuning. Market signal: Global data monetization market size reached USD 4.7 Billion in 2025, projected to reach USD 17.3 Billion by 2034, exhibiting a growth rate (CAGR) of 15.13% during 2026-2034.. Investment score 79.9/100 (confidence 0.67). Recommended action: License.
From the marketplace
Explore live data opportunities
Bladetex — 检验报告数据集机会
View opportunity →出行Seniorairfreight — 监管记录数据集机会
View opportunity →移动Clevon — 移动遥测数据集机会
View opportunity →