Dataset opportunity
Subroca — Maintenance Logs Dataset Opportunity
Moderate maintenance logs dataset held by Subroca, usable for Predictive Maintenance and Anomaly Detection.
Score
72.9
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
Acquire
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 Predictive Maintenance market was valued at $14.2 billion in 2025, projected to grow at a CAGR of 27.9% (2026-2033).
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
Maintenance Logs Dataset
Modality
Time Series
Sector
industrial
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Partial
Legal
Mixed ownership — clean to license
Buyer persona
Industrial AI & maintenance-optimization vendors
Subroca holds a valuable Maintenance Logs Dataset structured as Time Series data from its industrial equipment. This unique iot_data, collected via proprietary sensors, provides detailed operational and failure evidence (`industrial_data`, `maintenance_logs`) perfect for developing and training robust Predictive Maintenance models.
The global Predictive Maintenance market was valued at $14.2 billion in 2025 and is projected to grow at a CAGR of 27.9%. [2] This significant market growth highlights the demand for specialized datasets like Subroca's. Despite access complexities, such as integration with the proprietary AirGuardian® system and shared data rights with site operators, the rarity of this data—sourced from remote underground mines and tunnels—makes it a premium asset for AI buyers seeking a competitive edge. ⚠ Diligence (valuable data, access to negotiate): Data is generated by equipment deployed at remote underground client sites (mines, tunnels).; Requires integration with their proprietary AirGuardian® monitoring system for real-time access.; Data ownership and access rights may be shared with site operators depending on specific service contracts. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Evidence confirms Subroca captures proprietary, time-series data from its industrial safety equipment, recording vital operational and environmental parameters. This dataset is a direct fit for Industrial AI vendors developing predictive maintenance models, a market projected to grow at a 27.9% CAGR. The data's rarity and direct applicability to optimizing asset performance and preventing failures make it a highly valuable asset for any company in the maintenance-optimization space.
See dimension details ↓- Dataset Specificity90
dominant 'maintenance_logs', sector industrial, 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 Predictive Maintenance
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
Buyer demand is extremely high, driven by the rapid growth of the Predictive Maintenance market, which is expected to expand at a 27.9% CAGR as industries increasingly adopt AI to minimize equipment downtime. [2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
restricted/unknown
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
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 License58
ownership=mixed, licensing=clean
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 — 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 — Subroca is a French SME that manufactures safety equipment for underground environments and does not sell data, making it a good target with potential for dormant maintenance and operational data from its deployed sensor-equipped hardware. Issues: The initial prompt mentioned a 'Maintenance Logs Dataset Opportunity', but no evidence was found that Subroca currently sells or markets this data; it appears t; The company's core business is clearly manufacturing and selling physical safety equipment (refuge chambers, ventilation systems) and related engineering servic; Their equipment includes sensor technology like 'AirGuardian' which monitors parameters within their refuge chambers, suggesting they generate operational data
- Deep Qualification90
⚠ needs review — Sub'roca is a tooling vendor selling/renting safety equipment; the operational data from its AirGuardian® system is generated and likely owned by the client on-site, making it inaccessible for acquisition from Sub'roca. [data is owned by the company's customers]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
Subroca's systems generate granular IoT data from integrated sensors, providing the high-frequency environmental and operational inputs essential for training sophisticated anomaly detection algorithms.
Maintenance logs
The dataset includes logs of remote diagnostics performed by engineers, offering crucial, expert-validated labels for supervised learning and verifying the operational status of equipment.
Industrial data
The company captures comprehensive industrial data by recording all operational parameters from its smart equipment, creating a holistic view of asset behavior for in-depth performance analysis.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
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Deliverable
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Subroca Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market was valued at $14.2 billion in 2025, projected to grow at a CAGR of 27.9% (2026-2033) (source: Grand View Research). [2]. Investment score 72.9/100 (confidence 0.49). Recommended action: Acquire.
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