Dataset opportunity
Solexperts — Industrial Sensor Dataset Opportunity
Moderate industrial sensor dataset held by Solexperts, usable for Predictive Maintenance and Anomaly Detection.
Score
48
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
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 = $13.65B in 2025, CAGR 24.30%.
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-09-04
Fraunhofer IEG licenses MTD technology to Solexperts
geplus.co.uk ↗
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
Industrial Sensor Dataset
Modality
Time Series
Sector
industrial
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify
Buyer persona
Industrial AI & maintenance-optimization vendors
Solexperts holds a substantial Industrial Sensor Dataset, primarily composed of Time Series data from its geotechnical and environmental monitoring projects. This collection includes `industrial_data`, `inspection_records`, and `iot_data`, providing a rich historical basis for training Predictive Maintenance models to anticipate equipment failures and structural integrity issues in critical infrastructure.
This data is highly valuable in the global predictive maintenance market, which was valued at $13.65 billion in 2025 and is projected to grow at a CAGR of 24.30%. [3] While access requires navigating shared data ownership with clients or strict NDAs on infrastructure projects, the rarity and depth of this long-term, real-world sensor data from tunnels and dams make it a unique asset for developing high-accuracy AI solutions in a rapidly growing market. [3] ⚠ Diligence (valuable data, access to negotiate): Data ownership is often shared with industrial clients or research partners (e.g., Nagra, BFE).; Specific project data for infrastructure (tunnels, dams) is likely subject to strict NDAs.; Long-term research data from underground laboratories may have specific academic usage rights. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Public evidence confirms Solexperts possesses proprietary time-series data from its industrial IoT platform and specialized geotechnical instrumentation. This dataset includes real-world sensor readings from underground research and structural monitoring, offering a rare source of truth for training predictive maintenance models. For AI vendors targeting the rapidly growing industrial optimization market—projected to reach $13.65 billion by 2025—this data provides the essential fuel to build and validate algorithms that predict equipment failure and optimize asset performance.
See dimension details ↓- Dataset Specificity90
dominant 'iot_data', 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 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 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
AI buyer demand is driven by the market's rapid expansion, with a projected 24.30% CAGR indicating strong and growing investment in predictive maintenance capabilities. [3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 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 License36
ownership=mixed, licensing=rights_unclear
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, 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 Audit75
⚠ review — Solexperts' core business is selling geotechnical monitoring services and intelligence software platforms (Solexperts IoT, Web-DAVIS), not just collecting data as a by-product, making it a bad fit. Issues: Company's core business is selling intelligence and data-as-a-service. [11, 13, 16, 20]; The company actively develops and sells its own software and IoT platforms (e.g., Solexperts IoT, Web-DAVIS, GeoMonitor) for data visualization and analysis for; The company's value proposition is providing 'data-driven decisions' and 'intelligent alarm functions' to clients, which is a form of intelligence, not dormant
- Deep Qualification80
✓ pass — Solexperts is a strong target as a data holder. It provides geotechnical monitoring services and develops custom sensor systems, generating valuable time-series data from critical infrastructure. However, the data is created for specific clients (e.g., on nuclear waste or dam projects) or research partners, making ownership mixed and access likely restricted by NDAs.
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 a proprietary IoT platform and automatic data acquisition systems, generating the continuous time-series data essential for training machine learning models for industrial monitoring.
Industrial data
The dataset contains specialized industrial sensor readings from unique, controlled environments like underground research laboratories, providing high-value, niche data for developing highly accurate anomaly detection algorithms.
Inspection reports
These documents provide critical geotechnical context and lineage for the sensor deployments, validating the data's origin and enriching its value for building sophisticated digital twin and predictive models.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
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Deliverable
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Solexperts Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $13.65B in 2025, CAGR 24.30% (source: Fortune Business Insights). [3]. Investment score 48.0/100 (confidence 0.51). Recommended action: Acquire.
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Learn before you deal
- How a Data Transaction Works3 min read
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- 5 Mistakes That Drive Buyers Away3 min read