Dataset opportunity
Convergentep — 大型数据资产机会
Convergentep 持有的中大型数据资产，可用于预训练和微调。
Score
45
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
42%
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 size (indicative estimate)
2024年全球人工智能训练数据集市场规模为28.2亿美元，复合年增长率为27.7%（来源：MarketsandMarkets）。[1, 4]
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
大型数据资产
Modality
多模态
Sector
公共部门
Volume
中等
Freshness
周期性
Rarity
中等
Accessibility
部分
Legal
所有权待确认 — 许可待确认
Buyer persona
基础模型实验室
Convergentep 拥有来自公共部门的大规模数据资产，其特点是数据量大且具有多模态性质，涵盖了各种数据类型。这个庞大的集合通过一个`developer_portal`提供访问，是需要海量且多样化信息的预训练大型基础 AI 模型的一个理想且宝贵的资源。
其商业价值巨大，触及全球AI 训练数据市场，该市场在 2024 年的价值为28.2 亿美元，预计将以 27.7% 的复合年增长率 (CAGR) 增长。[1, 4] 这个高增长市场凸显了全面、多模态数据集的战略重要性和稀缺性，使其成为构建下一代应用程序的 AI 开发人员高度追捧的资源。[1] ⚠ 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.
这些证据共同证明 Convergentep 拥有一个大规模的专有数据流，从其真实的能源存储智能平台中，每天捕获超过 1.5 亿个数据点。这个独特、多模态的资产是基础模型实验室寻求在电池性能和电网优化复杂物理学上进行预训练的首选收购目标。在一个复合年增长率为 27.7% 的 AI 训练数据市场中，该数据集为构建能够解决关键可持续性和工业效率问题的模型提供了独特的优势。
See dimension details ↓- Dataset Specificity54
主导的'数据量'，行业公共部门，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 Rarity46
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume62
2 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 Freshness62
API/开放（当前）
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value44
适合预训练
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
AI 买家需求异常高，这得益于全球 AI 训练数据市场的快速扩张，复合年增长率为 27.7%，其中多模态数据细分市场是增长最快的类别。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility56
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 Feasibility4
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 Strength50
2 种证据类型，2 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 Surplus70
盈余=中等，3 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 Audit50
⚠ 审查 — 该公司的核心业务是销售 AI 驱动的能源存储解决方案和智能服务，而不是作为其他运营业务的副产品生成数据，因此不适合。问题：该公司的核心产品是 PEAK IQ®，一个专有的 AI/机器学习软件平台，提供优化能源资产性能的智能服务。[17；其商业模式是为其客户融资、拥有和运营能源存储解决方案，这是一种销售智能和分析的服务；该公司明确向客户销售旨在降低电力成本和提高可靠性的解决方案和服务，这属于'销售智能'的范畴。
- Deep Qualification80
✓ 通过 — Convergent Energy and Power 开发和运营能源存储解决方案，利用其专有的 AI 平台 PEAK IQ® 为客户优化能源调度。它不销售数据；它销售能源优化服务。数据是其服务交付的核心部分，而不是休眠的副产品。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<figure><div><img src="https://imgproxy.divecdn.com/xL9ka9Hole3PLsim8lANkxrZ0Ofwqi9J6LLNsPSNy24/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0xNDUwMzU3MTMyLmpwZw==.webp" /></div></figure><p>Ongoing legal battles regarding non-condensing commercial gas water heaters and residential gas furnaces have not yet slowed U.S. gas storage water-heater shipments, AHRI data shows.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/JC_tXHsHFHgTYger-9D_MTPUtB_9lMyaCL1pwtoMuzQ/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9SRVNJWkVHZXR0eUltYWdlcy0yMTUwMTg1MjI5LmpwZw==.webp" /></div></figure><p>Solar generation in CAISO increased 21% from January through May compared with the same period in 2024, the Energy Information Administration said.</p>”
- “<p>A Connecticut-based developer of distributed energy resources said it has begun construction on solar power installations at four municipal landfill sites in that state.</p> <p>The post <a href="https://www.powermag.com/verogy-starts-work-on-solar-facilities-at-municipal-landfills/">Verogy Starts Work on Solar Facilities at Municipal Landfills</a> appeared first on <a href="https://www.powermag.com">POWER Magazine</a>.</p> <p><img alt="Verogy solar landfill" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" height="1128" src="https://www.powermag.com/wp-content/uploads/202”
Developer portal
该公司作为太阳能和存储开发商的资本合作伙伴和资源的角色，表明其拥有比自身资产更广泛的数据生成生态系统，从而增强了对买家的战略价值。
Data-volume signal
直接声称每天收集超过 1.5 亿个数据点，为用于在真实能源存储优化上预训练模型的高速专有数据集提供了具体证据。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Ongoing (based on '150M data points per day')
Update frequency
Periodic
Delivery
developer_portal
Formats
Multimodal
License
One-time license for AI pretraining of large foundational models.
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 multimodal, large-scale data asset from the public sector is highly valuable for AI pretraining due to its moderate rarity and significant daily data volume. Demand is driven by the rapidly growing global AI training dataset market.
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
Convergentep Large-Scale Data — a Moderate large-scale data asset (Multimodal modality) in the public_sector domain. Primary AI use-case: Pretraining. Market signal: Global AI Training Dataset market = $2.82 billion in 2024, CAGR 27.7% (source: MarketsandMarkets). [1, 4]. Investment score 45.0/100 (confidence 0.42). Recommended action: License.
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