Dataset opportunity
Psyonic — 医疗影像数据集机会
Psyonic 持有的中等规模医疗影像数据集，可用于诊断人工智能和计算机视觉。
Score
69.5
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
数据共享协议
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)
全球诊断人工智能市场在 2025 年的估值为 20 亿美元，预计年复合增长率为 21.7%（2026-2033 年）。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-13
Experts to discuss the state of humanoid robots at RoboBusiness
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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.
- 🔌Public API
用于实时流式传输 30 个触觉传感器值和 6 个编码器值的公共 API
source ↗
Profile
Dataset profile
Type
医疗影像数据集
Modality
图像
Sector
医疗保健
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（个人身份信息审查）
Buyer persona
医疗人工智能与诊断影像公司
Psyonic 拥有源自其先进假肢的独特医疗影像数据集，其中包含生物识别遥测数据、病历和敏感的人机交互日志。这些丰富、多模态的数据提供了无与伦比的真实世界证据，使其特别适合开发和验证专注于假肢性能、用户健康监测和预测性维护的下一代诊断人工智能模型。
全球诊断人工智能市场在 2025 年的估值为 20 亿美元，预计将以惊人的年复合增长率 21.7% [1] 增长。这一可观的增长凸显了 Psyonic 等专业数据集的巨大价值。尽管访问复杂性要求进行去标识化以符合 HIPAA/GDPR 标准，但这些人类假肢用户数据的稀缺性和深度为寻求在该快速扩张市场中进行创新的 AI 开发人员提供了显著的竞争优势。⚠ 注意事项（有价值的数据，可协商访问）：数据集包含来自人类假肢用户的生物识别和健康相关遥测数据（HIPAA/GDPR 敏感性）；出售给 NASA 或 Meta 等研究巨头的设备的数据所有权可能受特定双边知识产权协议的约束；访问需要对敏感的人机交互日志进行去标识化。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据表明 Psyonic 拥有来自其FDA 批准的 Ability Hand 假肢的稀有专有数据集，该假肢已由300 多名患者使用。该数据独特地结合了医疗影像与关于人类抓握和触觉的高保真、真实世界传感器数据。这是医疗人工智能公司开发下一代诊断人工智能和康复模型的关键资产，使它们能够在这个预计每年增长超过 21% 的全球市场中占据份额 [1]。
See dimension details ↓- Dataset Specificity90
主要为“病历”，医疗保健行业，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 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 Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于诊断人工智能
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
买家需求异常高，这得益于诊断人工智能市场的快速扩张，预计该市场将以 21.7% 的年复合增长率增长，从而产生了对独特且专业化训练数据的强烈需求。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
个人身份信息/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
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 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
所有权=公司所有，许可=GDPR 敏感
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，1 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 Audit100
✓ 良好目标 — Psyonic 是一个绝佳的目标，因为它生产一种物理产品（仿生手），该产品作为副产品生成专有传感器数据，并且目前不销售这些数据。问题：初始潜在客户描述“医疗影像数据集”具有误导性；公司的核心业务是先进的假肢，而不是销售数据集；公司隐私政策明确规定“PSYONIC 不与第三方共享或出售客户信息”，这可能成为数据交易的障碍。
- Deep Qualification90
⚠ 需要审查 — Psyonic 出售先进的假肢手，并明确使用收集的传感器数据来训练机器人人工智能，但其隐私政策禁止与第三方出售或共享客户信息，这造成了冲突。[许可受限；数据集类型与实际活动不符：‘医疗影像数据集’标签不正确；Psyonic 生产假肢手，其数据包括遥测数据（抓握力、手指位置）和传感器反馈，而不是医学影像。[1, 13, 14]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据指向设备 API 的高频时间序列数据，详细说明了对开发先进电机控制算法有价值的编码器和触觉传感器值。
Industrial data
这证实了捕获真实世界人类抓握力和手指位置的精细时间序列数据的存在，这对于训练机器人技术和人体工程学分析中的人工智能至关重要。
Medical records / imaging
这些证据验证了一个与FDA 批准的设备相关的数据集，该设备拥有超过300 名患者的既定队列，为相关的医疗影像数据提供了关键的监管和临床背景。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Psyonic Medical Imaging — a Moderate medical imaging dataset (Image modality) in the healthcare domain. Primary AI use-case: Diagnostic AI. Market signal: Global AI in diagnostics market was valued at USD 2.0 billion in 2025 and is projected to grow at a CAGR of 21.7% (2026-2033) (source: Grand View Research). [1]. Investment score 69.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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