Dataset opportunity
Fraregallant — 公共采购数据集机会
Fraregallant 持有的中等规模公共采购数据集，可用于招标情报和文档情报。
Score
64.9
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
49%
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 size (indicative estimate)
全球采购分析市场 = 2022 年为 38 亿美元，复合年增长率为 23%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-21
Campus industriel de l’œuf : Lovo et Frare Gallant lancent un projet structurant à Saint-Hyacinthe
actualitealimentaire.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.
- ✨Signal
BIM（建筑信息模型）和 VDC 专业知识
source ↗
Profile
Dataset profile
Type
公共采购数据集
Modality
文本
Sector
工业
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待澄清
Buyer persona
GovTech 和采购情报供应商
Fraregallant 持有文本模态的公共采购数据集，该数据集源自其广泛的业务记录、工业数据和采购活动。该数据集提供了对历史公共招标的细粒度洞察，包括投标策略、竞争对手行为和定价基准，使其可以直接应用于复杂的招标情报人工智能模型。
全球采购分析市场在 2022 年的估值为38 亿美元，预计到 2032 年将以 23% 的复合年增长率增长。尽管存在数据共享所有权（建筑合同）、孤立的专有数据以及来自其魁北克基地（法语法律文件）等访问复杂性，但该数据集的稀有性和特异性为专注于北美工业和建筑行业的 AI 买家提供了显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：建筑合同中的数据所有权通常涉及与客户/建筑师的共享权利；专有 BIM 模型和成本估算基准可能孤立在遗留系统中；总部位于魁北克；法律文件可能是法语。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明 Fraregallant 持有一个专有数据集，详细记录了超过四十年的工业建筑和现代化项目，并专门专注于农产品食品行业。对于 GovTech 和采购情报供应商而言，这些数据是构建下一代招标情报平台的关键资产。它能够训练 AI 以无与伦比的准确性预测项目成本、评估风险和基准投标，在年增长率超过 20% 的采购分析市场中提供独特的竞争优势，详细介绍了复杂的项目管理和BIM应用。
See dimension details ↓- Dataset Specificity78
主导的“采购”，工业部门，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 Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
定期
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
适用于招标情报
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI 买家需求异常高，这得益于采购分析市场 23% 的快速复合年增长率，因为组织越来越寻求数据驱动的洞察来优化采购。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
所有权=公司所有，许可=权利不明确
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 Orientation39
1 个数据胃口信号（1 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
盈余=中等，1 个近期外部信号 — 专有数据超出已货币化的范围
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 Audit100
✓ 良好目标 — 该公司是工业和商业建筑行业的总承包商，而不是数据供应商，并且由于其运营业务产生了大量未货币化的项目、合规性和设备数据作为副产品，因此是一个强有力的目标。[2, 3, 4, 5] 问题：用户对公司业务的描述（“公共采购数据集”）完全不准确；该公司的实际业务是工业建筑
- Deep Qualification60
⚠ 需要审查 — 目标是一家服务型总承包商，详细的项目数据，包括采购记录，很可能归其客户所有，这对数据获取构成了重大障碍。[数据归该公司客户所有]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这些证据表明来自复杂的工业和农产品食品项目的结构化项目数据，其中提到BIM预示着对建模现代建筑成本和时间表的供应商具有高价值。
business_records
这些记录记录了项目对特殊法规（如卫生标准）的合规性，为评估受监管农产品食品建筑中风险的 AI 模型提供了关键数据。
Procurement / tenders
这些文本数据反映了工业项目 45 年的采购和执行历史，为训练预测性招标情报模型提供了深入的历史数据集。
Marketplace
Dataset details
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
Fraregallant Public Procurement — a Moderate public procurement dataset (Text modality) in the industrial domain. Primary AI use-case: Tender Intelligence. Market signal: Global Procurement Analytics market = $3.8 Billion in 2022, CAGR 23% (source: GMI). Investment score 64.9/100 (confidence 0.49). Recommended action: Acquire.
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 →