Dataset opportunity
Lochduart — 监管记录数据集机会
Lochduart 持有的中等规模监管记录数据集，可用于监管 RAG 和合规性 Copilots。
Score
72.7
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
56%
Action
合作（集团层面）
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)
全球农业人工智能市场规模在 2025 年达到 43.0 亿美元，预计在 2026-2035 年期间以 23.5% 的复合年增长率增长。
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
专注于涉及严格数据支持的福利标准的“Loch Duart Way”
source ↗
Profile
Dataset profile
Type
监管记录数据集
Modality
文本
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权许可
Buyer persona
RegTech 和合规性 AI 供应商
Lochduart 持有全面的监管记录数据集，数据模态为文本，来源于其业务记录、工业数据和物联网流。这些数据提供了符合复杂环境和食品安全法规的详细、真实的证据，使其特别适合开发和微调监管 RAG 系统，以实现水产养殖领域的合规性验证和报告自动化。
该数据的商业价值在全球农业人工智能市场中得到凸显，该市场在 2025 年的估值为 43.0 亿美元，预计将以 23.5% 的复合年增长率增长。[5] 虽然访问需要跨越苏格兰农场的数据孤岛并获得母私募股权公司的批准，但这种运营数据的稀缺性和深度为在高增长市场中创建专业人工智能解决方案提供了显著优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据可能分散在苏格兰高地的多个农场；生物和环境数据可能存储在第三方水产养殖管理软件中；所有权归私募股权公司（Vision Ridge Partners）所有，数据商业化需要集团层面的批准。· 公司：Vision Ridge Partners 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明 Lochduart 拥有一个稀有的专有数据集，详细记录了其在Label Rouge 和 RSPCA Assured 等顶级国际食品标准下的二十多年运营历史。这一系列合规性文件、运营日志和环境数据是RegTech 和合规性 AI 供应商寻求真实数据来训练和验证模型的关键资产。在全球农业人工智能市场预计每年增长超过 23% 的背景下，该数据集提供了自动化高端食品行业监管合规性所必需的特定、高风险证据。
See dimension details ↓- Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于监管 RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI 买家需求极高，受市场以 23.5% 的复合年增长率快速扩张的驱动，产生了对专业监管和运营数据以训练新解决方案的强烈需求。[5]
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 Feasibility15
中等难度，Vision Ridge Partners 的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Dataset Specificity74
主导的“监管”类别，行业其他，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 Volume58
4 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Evidence Strength74
4 种证据类型，4 次命中
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，许可=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Vision Ridge Partners 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 个数据需求信号（1 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 — 专有数据超出已变现的部分
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
✓ 理想目标 — Lochduart 是一个理想的目标，作为一家独立的মাত্রা（SME）鲑鱼养殖公司，其核心业务是销售优质鱼类，而非数据；它作为副产品产生了大量的专有运营和环境数据。
- Deep Qualification80
✓ 通过 — Loch Duart 是一个主要的数据持有者。它生产优质鲑鱼，并作为副产品，产生大量的监管和运营数据，以符合众多标准并管理生物风险。其于 2025 年 5 月推出的严格、数据密集型的“Loch Duart 标准”证实了该数据集的存在和重要性。然而，商业化此运营数据的法律权利尚未公开记录，访问需要通过 PE 所有者 Vision Ridge Partners。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该公司对其水产养殖场保持连续时间序列的环境监测数据，这对于为 AgriTech 和保险客户构建预测性风险管理模型非常宝贵。
Industrial data
Lochduart 持有其独特鲑鱼品种的详细运营绩效指标，为专注于产量优化和高价值牲畜预测健康状况的 AI 供应商提供关键训练数据。
business_records
该数据集包含超过 20 年的专有溯源和可追溯性记录，是用于验证食品安全、真实性和优质品牌声明的 AI 模型的关键资产。
Regulatory records
这一核心的合规性文件集合，包括精英认证的日志，提供了RegTech 公司所需的精确真实数据，用于训练 AI 以自动化针对复杂国际食品标准的审计。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Lochduart Regulatory Records — a Moderate regulatory records dataset (Text modality) in the other domain. Primary AI use-case: Regulatory RAG. Market signal: Global AI in Agriculture market size reached USD 4.30 billion in 2025, projected to grow at a 23.5% CAGR (2026-2035). [5]. Investment score 72.7/100 (confidence 0.56). Recommended action: Partnership (group-level).
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