Dataset opportunity
Netomnia — Sensor Telemetry Dataset Opportunity
Moderate sensor telemetry dataset held by Netomnia, usable for Predictive Maintenance and Anomaly Detection.
Score
67.4
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 = $13.4 billion in 2025, CAGR 23.2% (2026-2035).
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.
Profile
Dataset profile
Type
Sensor Telemetry Dataset
Modality
Time Series
Sector
other
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — licensing rights to clarify
Buyer persona
Industrial AI & maintenance-optimization vendors
Netomnia holds a valuable Sensor Telemetry Dataset composed of Time Series data from its critical national fibre optic infrastructure. This collection of iot_data, geo_data, and business records offers granular, real-time insights into network component health, making it exceptionally well-suited for developing and training Predictive Maintenance models designed to anticipate equipment failures and prevent service disruptions.
The global market for Predictive Maintenance is substantial, valued at USD 13.4 billion in 2025 and projected to grow at a CAGR of 23.2%. [1] While access to this data requires navigating security restrictions and potential governance complexities following the Brsk merger, its rarity and direct applicability for high-value AI use cases in a rapidly expanding market make it a compelling asset for strategic buyers. ⚠ Diligence (valuable data, access to negotiate): Data involves critical national infrastructure which may have security restrictions.; Recent merger with Brsk may complicate data governance and unified access.; Wholesale model means some traffic data might be subject to ISP privacy agreements. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Netomnia owns a proprietary, large-scale sensor telemetry dataset generated from its extensive UK national fiber infrastructure. The data's high-resolution, time-series nature makes it a rare and valuable asset for training sophisticated predictive maintenance algorithms. For industrial AI vendors, this is a unique opportunity to develop and validate models on real-world network performance data, tapping into the rapidly growing $13.4 billion predictive maintenance market.
See dimension details ↓- Dataset Specificity62
dominant 'iot_data', sector other, 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 Rarity70
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 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 Demand90
AI buyer demand is exceptionally high, driven by the rapid growth of the Predictive Maintenance market which is forecast to expand at a 23.2% CAGR.
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 Feasibility14
high 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 License70
ownership=company_owned, 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 Orientation56
2 data-appetite signals (2 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 Audit92
✓ good target — Netomnia is a strong target as it operates a large, proprietary UK fibre network, making its operational and sensor telemetry data a valuable by-product of its core wholesale connectivity business. Issues: The company is undergoing a merger with Nexfibre, which will create a much larger entity, potentially moving it out of the SME category and increasing complexit; There are ongoing talks about a potential acquisition by CityFibre, which could change its structure and strategy. [20]; Employee count varies across sources (219 to 583), but most recent data suggests it is over the 250 threshold for an SME. [2, 6]
- Deep Qualification80
✓ pass — Netomnia is a wholesale fibre network operator, making the existence of a sensor telemetry dataset plausible as a by-product of network monitoring. The recent merger with Brsk and the company's status as critical national infrastructure introduce significant complexities regarding data ownership and rights to resell.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
This is geospatial infrastructure data mapping over 35,000km of physical network, providing essential context on the asset's geographic diversity and scale for any maintenance model.
IoT / sensor data
This is high-fidelity, real-time network telemetry from a modern 10Gbps network, representing the core training data for building and refining predictive maintenance algorithms.
business_records
These are customer deployment metrics that validate the commercial scale and density of the network, confirming the data originates from a mature, heavily-utilized infrastructure with 445,000 active connections.
Marketplace
Dataset details
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Netomnia Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $13.4 billion in 2025, CAGR 23.2% (2026-2035) (source: Market.us). Investment score 67.4/100 (confidence 0.49). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Famousforaday — Image Dataset Opportunity
View opportunity →retailOkamac — Maintenance Logs Dataset Opportunity
View opportunity →mobilityLuci — Mobility Telemetry Dataset Opportunity
View opportunity →