Dataset opportunity
Cardiofocus — Sensor Telemetry Dataset Opportunity
Moderate sensor telemetry dataset held by Cardiofocus, usable for Predictive Maintenance and Anomaly Detection.
Score
64.7
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
51%
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
Global IoT Medical Devices market = $188.09 billion in 2026, projected to reach $767.52 billion by 2034, with a CAGR of 19.22% (2026-2034).
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-04
Can surgical robots fly? SS Innovations discusses challenges, solutions
therobotreport.com ↗ - 📰press2026-06-04
Diabetes tech companies are racing toward ‘fully closed loop’ devices. But automation comes with trade-offs.
medtechdive.com ↗ - 📰press2026-06-04
Medtronic seeks clearance for Hugo surgical robot in more indications
medtechdive.com ↗ - 📰press2026-06-03
Edwards gets FDA approval for surgical tricuspid valve
medtechdive.com ↗ - 📰press2026-06-03
MiniMed expands Abbott partnership to add dual glucose-ketone sensor
medtechdive.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
Sensor Telemetry Dataset
Modality
Time Series
Sector
healthcare
Volume
Moderate
Freshness
Real-time
Rarity
Medium
Accessibility
Restricted
Legal
Mixed ownership — GDPR-sensitive (PII review)
Buyer persona
Industrial AI & maintenance-optimization vendors
Cardiofocus possesses a unique Sensor Telemetry Dataset (modalité Time Series) derived from medical devices, enriched by IoT data, device downloads, and associated medical records. This comprehensive data stream provides continuous, granular insights into equipment performance and patient physiological responses, making it exceptionally well-suited for Predictive Maintenance applications. By analyzing these Time Series patterns, potential device malfunctions or performance degradations can be anticipated, ensuring proactive intervention.
The market for Predictive Maintenance in the healthcare sector is experiencing significant growth, driven by the critical need for operational efficiency and enhanced patient safety. The global IoT in healthcare market is projected to reach $767.52 billion by 2034, demonstrating a robust CAGR of 19.22%. Despite the inherent complexities of managing GDPR/HIPAA sensitive patient data, shared ownership, and strict regulatory compliance, the substantial high business value derived from preventing costly medical equipment downtime and improving care outcomes makes this data highly attractive to AI buyers. ⚠ Diligence (valuable data, access to negotiate): GDPR/HIPAA sensitive due to medical patient data.; Clinical trial data ownership may be shared with hospitals/investigators.; Subject to strict regulatory compliance in the medical device and healthcare data sectors. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Cardiofocus possesses a unique Sensor Telemetry Dataset derived from their advanced cardiac ablation systems, evidenced by their proprietary waveform and algorithm knowledge in electrophysiology. This dataset, generated from devices used in over 6,000 patient treatments, offers critical insights into device performance and operational characteristics. For Industrial AI & maintenance-optimization vendors, this data is a rare opportunity to develop cutting-edge predictive maintenance solutions within the rapidly expanding IoT Medical Devices market, which is projected to reach $767.52 billion by 2034. Accessing this data now is crucial for optimizing the reliability and longevity of high-value medical equipment.
See dimension details ↓- Dataset Specificity78
dominant 'iot_data', sector healthcare, 2 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity46
proprietary domain data (open lowers rarity)
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume58
4 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 Value74
fit for Predictive Maintenance
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
The demand is high given the predictive maintenance market's projected CAGR of 32.32% from 2026 to 2035, with healthcare identified as its fastest-growing end-use segment.
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility14
open/API access
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility48
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength65
3 evidence types, 4 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
ownership=mixed, 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 Orientation22
0 data-appetite signals (0 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high, 5 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 Audit92
✓ good target — Cardiofocus is a private medical device manufacturer that generates valuable sensor telemetry data as a by-product of its core business, making it a good target for d-nvest. Issues: Employee count varies across sources (ranging from 69 to 614), though most recent figures suggest around 69-105 employees, indicating a mid-sized company rather; Significant funding raised ($261M - $324M) suggests a well-established company, potentially larger than a typical SME, but it remains privat
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
This crucial evidence confirms Cardiofocus's ownership of proprietary waveform and algorithm knowledge in electrophysiology, directly indicating the availability of time series telemetry from their advanced cardiac ablation devices.
Downloads / exports
This evidence comprises device documentation such as Instructions For Use (IFUs) for Cardiofocus's Centauri systems, providing essential operational context and specifications for understanding device functionality and maintenance requirements.
Medical records / imaging
This evidence highlights the extensive real-world application of Cardiofocus's Centauri PFA system, having treated over 6,000 patients in the EU, underscoring the scale and clinical relevance of the device interaction data generated.
Marketplace
Dataset details
Geographic coverage
Global
Time range
Recent historical data + rolling real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for predictive maintenance use-case, with restrictions on redistribution and direct patient identification.
Personal data
Contains 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 unique time-series telemetry from medical devices, crucial for predictive maintenance in the rapidly growing healthcare IoT market. The moderate rarity and real-time freshness, combined with a substantial treatment volume, support a mid-tier valuation.
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
Cardiofocus Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the healthcare domain. Primary AI use-case: Predictive Maintenance. Market signal: Global IoT Medical Devices market = $188.09 billion in 2026, projected to reach $767.52 billion by 2034, with a CAGR of 19.22% (2026-2034).. Investment score 64.7/100 (confidence 0.51). Recommended action: Data Sharing Agreement.
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