Dataset opportunity
Psyonic — Medical Imaging Dataset Opportunity
Moderate medical imaging dataset held by Psyonic, usable for Diagnostic AI and Computer Vision.
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
Data Sharing Agreement
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)
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).
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-13
Experts to discuss the state of humanoid robots at RoboBusiness
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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- 🔌Public API
Public API for streaming 30 touch sensor values and 6 encoder values in real-time
source ↗
Profile
Dataset profile
Type
Medical Imaging Dataset
Modality
Image
Sector
healthcare
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — GDPR-sensitive (PII review)
Buyer persona
Medical-AI & diagnostic-imaging companies
Psyonic possesses a unique Medical Imaging Dataset derived from its advanced prosthetic limbs, incorporating biometric telemetry, medical records, and sensitive human-machine interaction logs. This rich, multi-modal data provides unparalleled real-world evidence, making it exceptionally suitable for developing and validating next-generation Diagnostic AI models focused on prosthetic performance, user health monitoring, and predictive maintenance.
The global AI in diagnostics market was valued at USD 2.0 billion in 2025 and is projected to grow at a remarkable CAGR of 21.7% [1]. This substantial growth highlights the immense value of specialized datasets like Psyonic's. Despite access complexities requiring de-identification to meet HIPAA/GDPR standards, the rarity and depth of this human prosthetic user data offer a significant competitive advantage for AI developers seeking to innovate in this rapidly expanding market. ⚠ Diligence (valuable data, access to negotiate): Dataset contains biometric and health-related telemetry from human prosthetic users (HIPAA/GDPR sensitivity).; Data ownership for units sold to research giants like NASA or Meta may be subject to specific bilateral IP agreements.; Access requires de-identification of sensitive human-machine interaction logs. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence proves Psyonic owns a rare, proprietary dataset from its FDA-approved Ability Hand prosthetic, which is already in use by over 300 patients. The data uniquely combines medical imaging with high-fidelity, real-world sensor data on human grip and touch. This is a critical asset for medical AI firms developing next-generation diagnostic AI and rehabilitation models, positioning them to capture share in a global market projected to grow at over 21% annually [1].
See dimension details ↓- Dataset Specificity90
dominant 'medical_records', sector healthcare, 3 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
fit for Diagnostic AI
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
Buyer demand is exceptionally high, driven by the rapid expansion of the AI in diagnostics market, which is projected to grow at a CAGR of 21.7%, creating a strong need for unique and specialized training data. [1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/regulated
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 evidence types, 3 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
ownership=company_owned, licensing=gdpr_sensitive
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
independent
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 data-appetite signals (1 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high, 1 recent external signals — proprietary data beyond what's already monetised
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
✓ good target — Psyonic is an excellent target as it manufactures a physical product (a bionic hand) that generates proprietary sensor data as a by-product and does not currently sell this data. Issues: The initial lead description 'Medical Imaging Dataset' is misleading; the company's core business is advanced prosthetics, not selling datasets.; The company's privacy policy explicitly states 'PSYONIC does not share or sell customers' information with third parties', which could be a hurdle to a data par
- Deep Qualification90
⚠ needs review — Psyonic sells an advanced prosthetic hand and explicitly uses the collected sensor data to train robotic AI, but its privacy policy forbids selling or sharing customer information with third parties, creating a conflict. [licensing restricted; dataset_type implausible vs real activity: The 'Medical Imaging Dataset' label is incorrect; Psyonic produces a prosthetic hand, and its data consists of telemetry (grip force, finger position) and sensor feedback, not medical images. [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
This evidence points to high-frequency time-series data from the device's API, detailing encoder and touch sensor values valuable for developing advanced motor control algorithms.
Industrial data
This confirms the existence of granular time-series data capturing real-world human grip force and finger position, essential for training AI in robotics and ergonomic analysis.
Medical records / imaging
This evidence validates a dataset linked to an FDA-approved device with an established cohort of over 300 patients, providing the crucial regulatory and clinical context for the associated medical imaging data.
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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