Dataset opportunity
Dexory — 图像数据集机会
Dexory 持有的海量图像数据集，可用于计算机视觉和多模态预训练。
Score
77.2
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
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
全球物流机器视觉市场在 2024 年的估值为 25 亿美元，预计到 2033 年将达到 83 亿美元，复合年增长率为 14.2%。[3]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-11
Hello Robot is recognized by World Economic Forum as a tech pioneer
therobotreport.com ↗ - 📰press2026-06-11
Rémy Malchirand rejoint Marso Robotics comme stratège go-to-market
supplychainmagazine.fr ↗ - 📰press2026-06-10
NEURA Robotics to raise up to $1.4B in Series C funding for physical AI
therobotreport.com ↗ - 📰press2026-06-10
Robotics will not have a clean Llama moment
therobotreport.com ↗ - 📰press2026-06-09
Effort to establish a National Commission on Robotics advances in Congress
therobotreport.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
图像数据集
Modality
图像
Sector
工业
Volume
大型
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确
Buyer persona
计算机视觉实验室和基础模型团队
Dexory 拥有由其专有自主机器人捕获的高度宝贵的图像数据集，这些机器人部署在工业仓库环境中。该数据集是丰富的 `image_collection`、`iot_data` 和空间映射信息的集合，包括 LiDAR 扫描，非常适合开发和训练复杂的计算机视觉模型。这些数据支持人工智能应用，例如自动化库存跟踪、损坏检测以及为仓库优化创建数字孪生，从而提供复杂物流运营的详细地面实况。
物流领域人工智能和自动化的市场正在迅速扩张，这凸显了该数据的巨大价值。全球物流机器视觉市场在 2024 年的估值为25 亿美元，预计到 2033 年将增长到 83 亿美元，复合年增长率为 14.2%。[3] 尽管由于客户保密协议存在访问复杂性，但该工业数据的稀有性和专有性使其成为旨在进入仓储自动化市场的 AI 买家的关键资产，该市场预计到 2030 年将达到近 600 亿美元。[4] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据通过专有自主机器人（物联网/机器人核心）捕获；库存数据很可能是客户所有，但原始传感器数据（LiDAR、图像）和空间映射是专有的；访问需要处理第三方物流/客户保密协议。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Dexory 拥有由自主机器人在运营仓库中捕获的大规模专有高清图像和传感器数据。该数据集直接服务于蓬勃发展的物流计算机视觉市场，使 AI 实验室能够训练和验证用于库存完整性、损坏检测和仓库自动化的模型。随着物流机器视觉市场预计到 2033 年将增至三倍以上达到 83 亿美元，这种稀有的真实世界数据为开发下一代基础模型提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity100
主导的 'image_collection'，工业领域，4 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 Rarity94
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume76
7 个证据命中
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 Value94
适用于计算机视觉
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
全球工业计算机视觉市场在 2024 年的估值为 96 亿美元，预计到 2030 年将以 17.6% 的复合年增长率增长，其中制造业是主要驱动因素。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility40
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，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 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
所有权=混合，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 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 Audit75
⚠ 审查 — Dexory 的核心业务是销售其人工智能驱动的智能和分析平台（DexoryView）的订阅服务，该平台源自其机器人收集的数据，使其成为软件/智能供应商，而不是休眠数据持有者。问题：核心业务是销售人工智能/智能软件即服务，这是一个明确的排除标准。[14, 15, 22]；该公司的产品是分析平台的订阅，而不是作为独立运营的副产品生成的数据。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Image collection
这是由自主机器人捕获的高清图像的专有集合，为训练计算机视觉模型提供了关于库存、货架占用率和合规性问题的地面实况视觉数据。
Event streams
这是由日常机器人扫描生成的实时时间戳事件流，非常适合训练关于物流中操作序列和资源优化的模型。
API access
这些证据表明通过 API 可获得结构化的多模态数据，将视觉洞察与货物详细信息（如尺寸和存储状态）相结合，对于构建复杂的物流管理应用程序很有价值。
IoT / sensor data
这代表了用于映射整个设施的机器人的实时传感器数据，非常适合构建和验证仓库环境的数字孪生模拟。
Industrial data
这是关于仓库利用率和效率的汇总高级运营数据，为 3PL 和制造业的预测模型训练提供了有价值的基准。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
S3 bucket
Formats
Image, LiDAR point cloud, JSON
License
One-time license for internal AI model training and development, with restrictions on redistribution.
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 proprietary, large-scale, real-time capture of industrial warehouse imagery and sensor data, directly addressing the high-demand, rapidly growing global machine vision in logistics 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
Dexory Image — a Large image dataset (Image modality) in the industrial domain. Primary AI use-case: Computer Vision. Market signal: Global Machine Vision in Logistics market was valued at $2.5 billion in 2024, and is forecasted to hit $8.3 billion by 2033, growing at a CAGR of 14.2%. [3]. Investment score 77.2/100 (confidence 0.67). Recommended action: Acquire.
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